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October 9, 2014
Dresner Advisory Services, LLC
2014 Edition
Small and Mid-Sized Enterprise Business Intelligence Market Study Wisdom of Crowds
®
Series
Licensed to Klipfolio
2014 Small and Mid-Sized Enterprise Business Intelligence Market Study
http://www.dresneradvisory.com Copyright 2014– Dresner Advisory Services, LLC
2
Disclaimer
This report should be used for informational purposes only. Vendor and product selections should be made
based on multiple information sources, face-to-face meetings, customer reference checking, product
demonstrations, and proof-of-concept applications.
The information contained in all Wisdom of Crowds® Market Study Reports reflects the opinions expressed
in the online responses of individuals who chose to respond to our online questionnaire and does not
represent a scientific sampling of any kind. Dresner Advisory Services, LLC shall not be liable for the content
of Reports, study results, or for any damages incurred or alleged to be incurred by any of the companies
included in the Reports as a result of its content.
Reproduction and distribution of this publication in any form without prior written permission is forbidden.
2014 Small and Mid-Sized Enterprise Business Intelligence Market Study
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Business Intelligence: A Definition We define Business Intelligence (BI) as “Knowledge gained through the access and analysis of business
information.”
Business Intelligence tools and technologies include query and reporting, OLAP (on-line analytical
processing), data mining and advanced analytics, end-user tools for ad hoc query and analysis, and
dashboards for performance monitoring.
Howard Dresner, The Performance Management Revolution: Business Results Through Insight and Action
(John Wiley & Sons, 2007)
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Introduction This year we celebrate the seventh anniversary of Dresner Advisory Services! Our thanks to all of you
that have been with us along the way—encouraging and challenging us!
Since our founding in 2007, we have strived to offer a fresh, real-world and alternative perspective on the
business intelligence (BI) market. We hope that you agree that we not only have succeeded in doing so
but have continued to “raise the bar”—offering increasingly compelling research and greater value with
each successive year!
To date, the Wisdom of Crowds family of reports remains unique in that it is the only comprehensive
research on BI usage and trends from the viewpoint of end users. By looking first hand at the experience
of IT and business users as well as industry implementation consultants, we can better provide you, our
readers, with the in-depth knowledge of the drivers of BI, where and how companies use BI, and what
likely will be the next trends on the horizon.
Since we began publishing industry research reports, we have expanded from only two reports in 2010 to
twelve reports in 2014. This includes Location Intelligence, Cloud BI (3rd
annual), Collaborative BI (3rd
annual), our flagship Wisdom of Crowds® BI Market Study (5
th annual), BI Competency Center, Advanced
& Predictive Analytics, Healthcare, BI Emerging Technologies (2nd
annual) and Mobile Computing /
Mobile BI Market Study (6th annual).
To this end, we’ve added more resources to Dresner Advisory Services including the additions of a
research director, senior editor and statistician.
For this, our second SME market study report, we created a focused, detailed report examining business
intelligence in small and mid-sized organizations. In particular, we consider how their deployments and
views differ from each other and from larger organizations. Also included are SME-specific vendor
rankings and a buyer’s guide for 21 different BI software vendors.
In closing, we’re very excited about both the market and our ability to continue to add substantial
perspective and value to it!
Thanks for your support!
Best,
Howard Dresner Chief Research Officer Dresner Advisory Services
2014 Small and Mid-Sized Enterprise Business Intelligence Market Study
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5
Contents Business Intelligence: A Definition .................................................................................. 3
Introduction ..................................................................................................................... 4
Benefits of the Study ....................................................................................................... 8
A Consumer Guide ...................................................................................................... 8
A Supplier Tool ............................................................................................................ 8
External Awareness .................................................................................................. 8
Internal Planning ....................................................................................................... 8
About Howard Dresner and Dresner Advisory Services .................................................. 9
About Jim Ericson ......................................................................................................... 10
Survey Method and Data Collection .............................................................................. 11
Data Collection ........................................................................................................... 11
Data Quality ............................................................................................................... 12
Vendor/Market Categories ............................................................................................ 13
Executive Summary ...................................................................................................... 15
Study Demographics ..................................................................................................... 16
Geography ................................................................................................................. 16
Functions ................................................................................................................... 17
Vertical Industries ...................................................................................................... 18
Analysis and Trends ...................................................................................................... 20
How SMEs Differ ........................................................................................................... 21
Technology Priorities Changing ................................................................................. 21
Departments/Functions Driving Business Intelligence ............................................... 23
Departmental Drivers .............................................................................................. 23
User Roles Targeted for Business Intelligence .......................................................... 24
Objectives for Business Intelligence .......................................................................... 25
Business Intelligence Objectives by Function ......................................................... 27
Penetration of Business Intelligence .......................................................................... 28
SME Success with Business Intelligence ................................................................... 30
State of Data .............................................................................................................. 31
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Action on Insight ........................................................................................................ 32
SME Vendor Stacked Rankings .................................................................................... 34
Business Intelligence Titans ....................................................................................... 35
Large Established Pure-Play Business Intelligence Vendors ..................................... 35
High-Growth Business Intelligence Vendors .............................................................. 36
Specialized Business Intelligence Vendors ................................................................ 36
Emerging Business Intelligence Vendors ................................................................... 37
Detailed SME Vendor Scores ........................................................................................ 38
Actuate Detailed Score for SME ............................................................................. 39
Adaptive Insights Detailed Score for SME .............................................................. 40
Birst Detailed SME Score ....................................................................................... 41
Dimensional Insight Detailed SME Score ............................................................... 42
Dundas Detailed SME Score .................................................................................. 43
GoodData Detailed SME Score .............................................................................. 44
IBM Detailed SME Score ........................................................................................ 45
Information Builders Detailed SME Score ............................................................... 46
Jaspersoft Detailed SME Score .............................................................................. 47
Jedox Detailed SME Score ..................................................................................... 48
Jinfonet Detailed SME Score .................................................................................. 49
Klipfolio Detailed SME Score .................................................................................. 50
Logi Analytics Detailed SME Score ........................................................................ 51
Microsoft Detailed SME Score ................................................................................ 52
Pentaho Detailed SME Score ................................................................................. 53
Phocas Detailed SME Score .................................................................................. 54
Qlik Detailed SME Score ........................................................................................ 55
SAP Detailed SME Score ....................................................................................... 56
Tableau Detailed SME Score ................................................................................. 57
Targit Detailed SME Score ..................................................................................... 58
Tibco Detailed SME Score ...................................................................................... 59
SME Business Intelligence Buyer’s Guide .................................................................... 60
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Traditional Platform Support - Vendors (A–D) ............................................................ 60
Traditional Platform Support - Vendors (I).................................................................. 61
Traditional Platform Support - Vendors (J-L).............................................................. 62
Traditional Platform Support - Vendors (M-P) ............................................................ 63
Traditional Platform Support - Vendors (Q-S) ............................................................ 64
Traditional Platform Support - Vendors (T) ................................................................ 65
Cloud Platform Support - Vendors (A–D) ................................................................... 66
Cloud Platform Support - Vendors (G -I) .................................................................... 67
Cloud Platform Support - Vendors (J-L) ..................................................................... 68
Cloud Platform Support - Vendors (M-P) ................................................................... 69
Cloud Platform Support - Vendors (Q-T) .................................................................... 70
Mobile Platform Support - Vendors (A-D) .................................................................. 71
Mobile Platform Support - Vendors (I) ........................................................................ 72
Mobile Platform Support - Vendors (J-L) .................................................................... 73
Mobile Platform Support - Vendors (M-P) .................................................................. 74
Mobile Platform Support - Vendors (Q-T) .................................................................. 75
Appendix - The 2014 Wisdom of Crowds® Business Intelligence Market Survey
Instrument ..................................................................................................................... 76
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Benefits of the Study The DAS Small and Mid-Sized Enterprise Business Intelligence Market Study provides
a wealth of information and analysis–offering value to both consumers and producers of
Business Intelligence technology and services.
A Consumer Guide
As an objective source of industry research, consumers use the DAS Small and Mid-
Sized Enterprise Business Intelligence Market Study to understand how their peers use
and invest in Business Intelligence and related technologies.
Using our trademarked 33-dimension vendor performance measurement system, users
glean key insights into BI software supplier performance, enabling:
Comparisons of current vendor performance to industry norms
Identification and selection of new vendors
A Supplier Tool
Vendor Licensees can use the DAS Small and Mid-Sized Enterprise Business
Intelligence Market Study in several important ways, for example to:
External Awareness
- Build awareness for the Business Intelligence market and supplier brand, citing The
DAS Small and Mid-Sized Enterprise Business Intelligence Market Study trends and
vendor performance
- Create lead and demand-generation for supplier offerings through association with
The DAS Small and Mid-Sized Enterprise Business Intelligence Market Study brand,
findings, webinars, etc.
Internal Planning
- Refine internal product plans and align with market priorities and realities as
identified in The DAS Small and Mid-Sized Enterprise Business Intelligence Market
Study
- Better understand customer priorities, concerns, and issues
- Identify competitive pressures and opportunities
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About Howard Dresner and Dresner Advisory Services The DAS Small and Mid-Sized Enterprise Business Intelligence Market Study was
conceived, designed and executed by Dresner Advisory Services, LLC—an
independent advisory firm—and Howard Dresner, its President, Founder and Chief
Research Officer.
Howard Dresner is one of the foremost thought leaders in business intelligence and
performance management, having coined the term “Business Intelligence” in 1989. He
has published two books on the subject, The Performance
Management Revolution – Business Results through Insight
and Action (John Wiley & Sons, Nov. 2007) and Profiles in
Performance – Business Intelligence Journeys and the
Roadmap for Change (John Wiley & Sons, Nov. 2009). He
lectures at forums around the world and is often cited by the
business and trade press.
Prior to Dresner Advisory Services, Howard served as chief
strategy officer at Hyperion Solutions and was a research fellow at Gartner, where he
led its business intelligence research practice for 13 years.
Howard has conducted and directed numerous in-depth primary research studies over
the past two decades and is an expert in analyzing these markets.
Through the Wisdom of Crowds® Business Intelligence market research reports, we
engage with a global community to redefine how research is created and shared.
Landmark research reports include the:
- Wisdom of Crowds® Business Intelligence Market Study (Flagship)
- Advanced and Predictive Analytics Market Study
- Business Intelligence Competency Center Market Study
- Collaborative Business Intelligence Market Study
- Cloud Business Intelligence Market Study
- Mobile Computing/ Mobile Business Intelligence Market Study.
Howard (www.twitter.com/howarddresner) conducts a weekly Twitter “tweetchat” on
Fridays at 1:00 p.m. ET. The hashtag is #BIWisdom. During these live events the
#BIWisdom “tribe” discusses a wide range of business intelligence topics.
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You can find more information about Dresner Advisory Services at
www.dresneradvisory.com.
About Jim Ericson Jim Ericson is a research director with Dresner Advisory Services.
Jim has served as a consultant and journalist who studies end-user management
practices and industry trending in the data and information management fields.
From 2004 to 2013 he was the editorial director at Information Management magazine
(formerly DM Review), where he created architectures for user and
industry coverage for hundreds of contributors across the breadth of
the data and information management industry.
As lead writer he interviewed and profiled more than 100 CIOs,
CTOs, and program directors in a 2010-2012 program called “25
Top Information Managers.” His related feature articles earned
ASBPE national bronze and multiple Mid-Atlantic region gold and
silver awards for Technical Article and for Case History feature
writing.
A panelist, interviewer, blogger, community liaison, conference co-chair, and speaker in
the data-management community, he also sponsored and co-hosted a weekly podcast
in continuous production for more than five years.
Jim’s earlier background as senior morning news producer at NBC/Mutual Radio
Networks and as managing editor of MSNBC’s first Washington, D.C. online news
bureau cemented his understanding of fact-finding, topical reporting, and serving broad
audiences.
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Survey Method and Data Collection For this SME study, we sampled different subsets of the 2014 Wisdom of Crowds
Business Intelligence Market Survey. Dresner Advisory Services defines “Small
Enterprise” as an organization with between one and 100 employees; “Mid-Sized
Enterprise” an organization with between 101 and 1,000 employees; and “Large
Enterprise” as an organization with more than 1,000 employees. The study was
constructed from a survey instrument to collect data and used social media and crowd-
sourcing techniques to recruit participants.
Data Collection
A total of 717 surveys (versus 523 in 2013) were submitted by Small and Mid-Sized
(SME) organizations. This report focuses on the responses of those SME organizations
and draws comparisons between their responses and those of the full sample.
Figure 1 – SME study sample
375
342
320
330
340
350
360
370
380
Small (1-100) Mid (101-1,000)
SME Study Sample
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Data Quality
We carefully scrutinized and verified all respondent entries to ensure that the study
includes only qualified participants.
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Vendor/Market Categories For the purposes of this SME report, we utilize five different BI industry sub-categories
in which to group vendors and analyze market behavior and direction. As in 2013 these
include “Emerging,” “High Growth,” “Large Established Pure Play,” “Specialized” and
“Titan” vendors.
Emerging BI vendors are typically younger than other categories and offer unique and
often innovative business models, technologies, and/or services. This category
includes: Adaptive Insights, Birst, GoodData, Jaspersoft *, and Jedox.
High-Growth BI vendors have achieved critical mass in the market and are growing at
an extremely high rate—well above the industry average. For 2014, vendors include
Logi Analytics, Pentaho, Tableau, and TIBCO.
Large Established Pure-Play BI vendors predominately focus upon business
intelligence software and services, typically have been in business for 15 or more years,
and have well-established customer bases and revenue streams. Several are publicly
held concerns. These include Actuate, Information Builders, and Qlik.
Specialized BI vendors are established (10+ years old), focused on a specific market
segment (e.g., vertical industry), and are substantially smaller than Large Established
Pure Plays. Included in this category are Dimensional Insight, Dundas, Jinfonet,
Klipfolio, Phocus, and Targit.
Titans are the largest vendors, with extensive product and service offerings—including
business intelligence. In all cases these vendors acquired business intelligence
vendors. Included in this category are IBM, Microsoft, and SAP.
*Jaspersoft was acquired by Tibco after data collection had been completed.
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Executive
Summary
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Executive Summary
SME top technology priorities include dashboards and end-user self-service. Smaller
organizations place a lower priority upon data warehouses but have more interest in
cloud BI than large organizations.
Executive management and sales are the strongest functional drivers at SMEs and
slightly more so than at large enterprises. SMEs are slightly less likely to be driven
by finance, operations, BICC, or supply chain functions.
Smaller enterprises are more likely to focus upon growth in revenues and
competitive advantage as objectives for business intelligence while large
organizations focus more on operational efficiency.
Though overall penetration remains low in 2014, SMEs report higher business
intelligence penetration than large organizations. Smaller organizations report higher
penetration than their mid-sized counterparts.
There is an inverse relationship between organization size and perceived success
with business intelligence with smaller organizations reporting success more often
than larger ones.
Small and medium-sized enterprises hold a high opinion of the state of data
governance within their organizations with more than one-third of small enterprises
claiming governance at the level of “data as truth.”
SMEs consider themselves slightly more capable in their ability to act on insights
employing closed loop processes or ad hoc actions based on BI insights. This is in
contrast to larger enterprises where sharing tends to be less well coordinated.
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North America 51%
Europe, Middle East, & Africa
30%
Latin America 5%
Asia Pacific 13%
Geographies of SMEs Studied
Study Demographics The respondents studied in this SME survey provide a cross-section of data by
geography, function, organization size, and vertical industries. We believe this supports
a representative sample and indicator of true market dynamics. We constructed cross-
tab analyses using these demographics to identify and illustrate important industry
trends.
Geography
Fifty-one percent of respondents are located in North America (which includes the
United States, Canada, and Puerto Rico). EMEA organizations represent 30 percent of
respondents (up from 24 percent in 2013). Asia Pacific (13 percent) and Latin America
(five percent) are the other regions represented.
Figure 2 - Geographies of SMEs studied
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Functions
Information technology (33 percent) and Executive Management (26 percent) account
for the highest among roles represented in the study. Eleven percent represent the
BICC, which in the SME market can include dedicated Business Intelligence resources
as well as formal organizational departments (fig. 3). Finance, operations, sales and
marketing are represented in percentages similar to last year’s study.
This distribution across functions enables us to develop analyses comparing and
contrasting the plans and priorities of the different departments within organizations.
Figure 3 - Functions in SMEs studied
Other 4% Sales
6%
Marketing 5%
Operations 4%
Finance 8%
Business Intelligence Competency Center
11%
Executive Management
25%
Information Technology (IT)
33%
Research and Development (R&D)
5%
Functions in SMEs Studied
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Vertical Industries
Vertical industry distribution among SMEs includes a cross-section of technology,
healthcare, financial services, and manufacturing along with other private and public
institutions. The largest identified industries by percentage are technology and
consulting (fig. 4).
Figure 4 – SME vertical industries
Other 20%
Telecommunications 3%
Not for profit 2%
Advertising 2%
Transportation 2%
Insurance 3%
Food, Beverage & Tobacco
2% Government
1% Education
2%
Retail & Wholesale
8%
Business Services 4%
Manufacturing 5%
Financial Services
6% Healthcare 4%
Technology 21%
Consulting 17%
SME Vertical Industries
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Analysis and
Trends
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Analysis and Trends This report describes the Small and Mid-Sized Enterprise market for Business
Intelligence by its own characteristics, drivers, and trends, and also by how it compares
to the large enterprise market.
For 2014 we have data in multiple areas of user trends. For SMEs we were first
interested to understand their history of experience with Business Intelligence, their
uptake of cloud BI providers, and changing priorities year over year. As in the larger
Wisdom of Crowds study, we collected and analyzed data for SMEs surrounding
functions driving Business Intelligence, goals/objectives for BI, targeted user roles,
current penetration, and future plans for Business Intelligence deployment and
organizational success.
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How SMEs Differ
Technology Priorities Changing
Small and medium-sized enterprises prioritize a wide span of BI technologies and
priorities much like larger organizations do (fig. 5). Top priorities in common are
dashboards and end user self-service. But smaller organizations do not prioritize data
warehouses as often as large organizations and show notably greater interest in
software as a service and cloud than large organizations. Smaller organizations are less
likely to embrace big data and data mining but are more interested in open source
software and social BI.
Figure 5 - Technology priorities: SMEs versus large enterprises
1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50
Complex event processing (CEP)
Open source software
Social media analysis (SocialBI)
Text analytics
Big Data (e.g., Hadoop)
Ability to write transactional applications
Collaborative support for group-based analysis
Pre-packaged vertical/functional analytical applications
Search-based interface
Software-as-a-service and cloud computing
In-memory analysis
Location intelligence/analytics
End-user data "blending" (data mash ups)
Data mining, advanced algorithms, predictive
"Embedded" BI (contained within an application, portal,…
Data discovery
Integration with operational processes
Mobile device support
Data warehousing
Advanced visualization
End user "self service"
Dashboards
Technology Priorities: SMEs versus Large Enterprises
SME LGE
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Across all priorities, SME interest in open source software was most increased in 2014
(fig. 6). Open source and software as a service / cloud were the only two categories of
notably increased priority for all organizations in 2014. Among many decliners, text
analytics, social media, mobile device support, and advanced visualization were the
most dampened priorities for SMEs. Perhaps through awareness or experience,
complex event processing and search-based interface were more deemphasized by
large than by smaller organizations.
Figure 6 – Technology priority changes from 2013: SME versus overall sample
-6.0%
-4.0%
-2.0%
0.0%
2.0%
4.0%
6.0%
8.0%
Technology Priority Changes from 2013: SME versus Overall Sample
SME Overall
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Departments/Functions Driving Business Intelligence
The 2014 survey looks at the functions that drive Business Intelligence initiatives within
the organization. For each function, we asked respondents to specify whether it drives
Business Intelligence “always,” “often,” “sometimes,” “rarely,” or “never.” We used this to
create a weighted average on a zero-to-five scale.
Departmental Drivers
Executive management and sales are the strongest functional drivers at SMEs and
slightly more so than at large enterprises (fig. 7). As might befit their structure, SMEs
are slightly less likely to be driven by finance, operations, BICC, or supply chain
functions.
Figure 7 – Functional drivers of business intelligence by organization size (weighted mean)
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
Functional Drivers of BI by Organization Size
Large SME
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User Roles Targeted for Business Intelligence
We asked which functions/roles are targeted for automation with Business Intelligence
solutions. Respondents were able to designate roles as either “Primary,” “Secondary,”
or “Not Applicable.” Among all organizations sampled, the majority prioritized (in order)
Executives, Middle Managers, Line Managers, Individuals, Customers, and then
Suppliers last.
Small and mid-sized enterprises target executives more often than their large-enterprise
peers (fig. 8). Small organizations are noticeably more likely to target customers than
mid-size and large organizations. Conversely, targeting of middle managers and line
managers increases with organization size. This may reflect the structure of
management ranks that grow along with employee headcount. In the same vein, small
and mid-sized organizations are less likely to target individual contributors and
professionals.
Figure 8 - Primary targets for BI by organization size
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Executives MiddleManagers
Line Managers Customers IndividualContributors &Professionals
Suppliers
Primary Targets for BI by Organization Size
Small Mid Large
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Objectives for Business Intelligence
BI objectives as described in the survey are mostly consistent across organizations of
all sizes (fig. 9). As in years past, “better decision making” is the objective organizations
adhere to most universally. As organization size increases, respondents are less likely
to cite revenue growth, competitive advantage, or customer service as BI objectives.
Meanwhile, large organizations focus more on operational efficiency which may reflect
the number and/or complexity of business processes.
Figure 9 - Business intelligence objectives by organization size (weighted mean)
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Better decision-making
Growth in revenues Increasedcompetitiveadvantage
Improvedoperationalefficiency
Enhanced customerservice
Business Intelligence Objectives by Organization Size
Small Mid Large
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Among all organizations, revenue growth and competitive advantage are the two net
positive gainers among BI objectives in 2014 (fig. 10). Compared to the full sample,
small and mid-sized organizations do not show greater positive sentiment year over
year toward any of the stated BI objectives and are slightly more negative overall. While
sentiment toward revenue growth and better competitive advantage increased, it did so
only slightly. Negative sentiment tilted slightly more than the full sample against better
decision making and somewhat more against improved operational efficiency.
Figure 10 - Changes in BI objectives from 2013: SME versus overall sample
-2.5%
-2.0%
-1.5%
-1.0%
-0.5%
0.0%
0.5%
1.0%
1.5%
2.0%
Better decision-making
Growth in revenues Increasedcompetitiveadvantage
Improvedoperationalefficiency
Enhanced customerservice
Changes in BI Objectives from 2013: SME versus Overall Sample
SME Overall
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Business Intelligence Objectives by Function
Better decision making is the top SME BI objective in 2014 across all functions (fig. 11).
Sales and marketing predictably have the highest affinity toward revenue growth;
Finance is more tilted toward operational efficiency (and by extension, cost
containment). SME executives are mostly consistent toward secondary and tertiary BI
objectives. Customer service is the trailing BI objective across all functions.
Figure 11 – BI objectives by function: SMEs Only (weighted mean)
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
InformationTechnology (IT)
ExecutiveManagement
Finance Sales Marketing
BI Objectives by Function: SMEs Only
Better decision-making Growth in revenues Increased competitive advantage
Improved operations efficiency Enhanced customer service
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Penetration of Business Intelligence
Though overall penetration remains low in 2014, SMEs report higher penetration than
large organizations (fig. 12). Less than one-fourth of small and less than 40 percent of
medium-sized organizations report the lowest level of penetration (compared to almost
half of large organizations). While it may be a matter of lower headcount and more
operational awareness, a significantly higher number of small organizations report the
second highest or highest level (81 percent or more) of BI penetration than mid-sized or
large organizations.
Figure 12 - Current BI penetration by organization size
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Under 10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more
BI Penetration
Current BI Penetration by Organization Size
Small Mid Large
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Small and mid-sized organizations expect to significantly counter low BI penetration
levels in near and long-term time frames (fig. 13). Small organizations will outperform
medium-sized organizations at improving penetration in the near and midterm. Three
years from now, 30 to 40 percent of SMEs expect the highest level (81 percent or more)
of BI penetration.
Figure 13 – SME BI user penetration 2014 - 2017 by organization size
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Small Mid Small Mid Small Mid Small Mid
Today In 12 months In 24 months In 36 months
SME BI User Penetration 2014 - 2017 by Organization Size
Under 10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more
2014 Small and Mid-Sized Enterprise Business Intelligence Market Study
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SME Success with Business Intelligence
The organizational tendency to claim complete BI success declines with organization
size (fig. 14). Small organizations are the most likely to agree completely that their BI
programs and projects have been successful. However, mid-sized and large
organizations are more likely to have tempered views of BI success, both positive and
negative. Less than five percent of organizations of any size disagree completely that
their BI initiatives have been successful.
Figure 14 -Success with business intelligence by organization size
0%
10%
20%
30%
40%
50%
60%
Completely agree Agree somewhat Disagree somewhat Disagree
Success with Business Intelligence by Organization Size
Small Mid Large
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State of Data
Small and medium-sized enterprises tend to have a higher opinion of the state of data
governance within their organizations (fig. 15). Well more than one-third of small
enterprises have the highest view of their governance being at the level of “data as
truth.” Close to 40 percent or more SMEs claim the second-highest level in a common
view of enterprise data. Large organizations are more likely to report consistent
department level data or multiple inconsistent data sources.
Figure 15 - State of data governance by organization size
0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Data as "truth" - A common view of enterprisedata is available with common application of
data, filters, rules, and semantics.
A common view of enterprise data is available.However, parochial views and semantics are
used to support specific positions.
Consistent data is available at a departmentallevel. Conflicting, functional views of data
causes confusion and disagreement.
We have multiple, inconsistent data sourceswith conflicting semantics and data.
Information is generally unreliable anddistrusted.
State of Data Governance by Organization Size
Large
Mid
Small
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Action on Insight
In 2014 we began data collection regarding “Action on Insight,” the degree to which
organizations take data into use beyond passive reporting/observation. As might be
expected, SMEs consider themselves slightly more responsive in their ability to execute
with closed loop processes or ad hoc actions based on BI insights (fig. 16). Large
organizations are slightly more likely to report uncoordinated actions, though only five
percent or fewer of all organizations say insights are “rarely leveraged.”
Figure 16 - Action on insight
0%
10%
20%
30%
40%
50%
60%
70%
“Closed loop” processes ensure timely, concerted
action
Ad hoc (informal)action on insightsacross functions
Uncoordinated/parochial action
(sometimes at theexpense of others)
Insights are rarelyleveraged
Action on Insight
SME
Large
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SME Vendor
Rankings
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SME Vendor Stacked Rankings In this section we offer stacked rankings of Business Intelligence software vendors
supporting Small and Mid-Sized Enterprises. We ranked vendors using 33 different
criteria, on a five-point scale for each. Criteria covered sales /acquisition experience (8
criteria), value for price paid (1), quality and usefulness of product (12), quality of
technical support (5), quality and value of consulting services (5), whether vendor is
recommended (1), and integrity (1). The result is a stacked ranking with an average
score for every one of the seven categories and an overall average score for each
vendor.
As we begin to explore vendor performance in more detail, it’s important to understand
the scale that we used in scoring the industry and vendors:
5.0 = Excellent
4.0 = Very good
3.0 = Adequate
2.0 = Poor
1.0 = Very poor
As in 2013, market segments include the “Titans,” “Large Established Pure-Play,”
“Emerging,” “High-Growth” and Specialized” vendors.
Within each segment, vendors have similar traits and, as a result, similar score-average
ranges. So, while comparisons can (and no doubt will) be made between these sub-
segment “peer groups,” it’s not always a reasonable comparison.
Based on our scoring methodology, all vendors performed at a level that is considered
more than “adequate” for all categories of criteria.
*Please note that “Average Score” is the mathematical mean of all items included in
vendor ratings. Each column in the chart represents a scale consisting of varying
numbers of items. (For example "Sales" is a scale consisting of eight items, while
"value" for price is a single item). As such, each column is weighted differently (based
upon the number of items represented and the number of respondents rating those
items) in calculating the overall average rating. The Average Score cannot be calculated
by simply averaging across the subscale scores.
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Business Intelligence Titans
“Titans” (table 1) are the largest vendors, with extensive product and service offerings—
including Business Intelligence. In all cases these vendors have acquired Business
Intelligence vendors. Included in this category are IBM, Microsoft, and SAP.
Table 1 - Business Intelligence Titans - Stacked Rankings
Vendor Sales Avg
Value Product Support Consult Integrity Recommend Final Score
IBM 3.70 3.47 3.62 3.64 3.67 4.00 4.73 3.83
Microsoft 3.53 3.73 3.67 3.34 3.66 3.70 4.23 3.69
SAP 3.23 3.14 3.44 3.09 2.82 3.25 3.89 3.27
Large Established Pure-Play Business Intelligence Vendors
“Large Established Pure-Play” vendors (table 2) focus primarily upon Business
Intelligence software and services and have typically been in business for 15+ years
with well-established customer bases. Some are publicly held. These include Actuate,
Information Builders, and Qlik.
Table 2 – Large Established Pure-Play Business Intelligence - Stacked Rankings
Vendor Sales Avg
Value Product Support Consult Integrity Recommend Final Score
Qlik 4.02 4.17 4.13 4.17 4.21 4.19 5.00 4.27 Information Builders 4.38 4.00 4.00 4.24 4.22 4.18 4.64 4.24
Actuate 3.86 4.14 3.88 4.29 3.99 4.43 4.71 4.18
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High-Growth Business Intelligence Vendors
“High-Growth” vendors (table 3) are those that have achieved critical mass in the
market and are growing at an extremely high rate—well above the industry average.
This includes Logi Analytics, Pentaho, Tableau, and Tibco.
Table 3 – High-Growth Business Intelligence Vendors – Stacked Rankings
Sales Value Product Support Consult Integrity Recommend Final Score
Tibco 4.49 4.69 4.21 4.30 4.47 4.69 5.00 4.55
Tableau 4.15 4.41 4.37 4.09 4.20 4.32 4.82 4.34
Logi Analytics
4.16 4.10 4.07 4.21 4.16 4.40 5.00 4.30
Pentaho 3.84 4.19 3.50 3.80 3.81 4.07 4.86 4.01
Specialized Business Intelligence Vendors
“Specialized” Business Intelligence vendors (table 4) have been in existence for a
number of years, have successfully focused on a particular sub-segment of the market
(e.g., vertical industry) and are modest in size. Dimensional Insight, Dundas, Jinfonet,
Klipfolio, Phocas and Targit are included in this segment.
Table 4 - Specialized Business Intelligence Vendors – Stacked Rankings
Vendor Sales Value Product Support Consult Integrity Recommend Final Score
Dimensional Insight
4.49 4.46 4.39 4.67 4.68 4.86 5.00 4.65
Klipfolio 4.59 4.46 4.37 4.62 4.61 4.62 4.69 4.57
Dundas 4.30 4.24 4.20 4.57 4.57 4.65 5.00 4.50
Phocas 4.20 4.17 4.01 4.10 4.31 4.60 4.93 4.33
Targit 3.96 3.95 3.93 4.19 4.12 4.30 4.80 4.18
Jinfonet 3.94 4.00 3.74 3.79 4.23 4.17 5.00 4.12
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Emerging Business Intelligence Vendors
“Emerging” vendors (table 5) are typically younger than the other categories and offer
unique and often innovative business models, technologies, and/or services. This
category includes Adaptive Insights, Birst, GoodData, Jaspersoft*, and Jedox.
Table 5 - Business Intelligence Emerging Vendors – Stacked Rankings
Vendor Sales Avg
Value Product Support Consult Integrity Recommend Final Score
Birst 4.62 4.36 4.32 4.57 4.25 4.60 5.00 4.53 Adaptive Insights 4.49 4.38 4.29 4.48 4.38 4.58 5.00 4.51
Jaspersoft 4.41 4.37 4.23 4.50 4.52 4.58 4.94 4.51
Jedox 4.34 4.39 4.14 4.24 4.39 4.32 4.75 4.37
GoodData 3.89 3.90 3.80 4.64 3.94 4.40 4.71 4.18
After reviewing the stacked rankings of vendors, carefully examine the detailed, vendor-
specific rankings for a more complete perspective and deeper understanding of
individual vendors’ strengths and weaknesses.
*Jaspersoft was acquired by Tibco after data collection had been completed.
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Detailed SME Vendor Scores In this section, we offer detailed vendor scores, in alphabetical order by vendor. Using
our 33-criteria evaluation model, we compare each vendor’s performance to their direct
peer group and to the average for all vendors (all records in the study population).
The detailed criteria are below. We have added “clock” position information to assist in
locating specific scores.
Table 6 - Detailed Vendor Rating Criteria
- Sales/acquisition experience (Sales) (12 – 2 o’clock)
o Professionalism o Product knowledge o Understanding business/needs o Responsiveness o Flexibility/accommodation o Business practices o Contractual terms and conditions o Follow up after the sale
- Value for price (Value) (3 o’clock)
- Quality and usefulness of product
(Product) (3 – 7 o’clock)
o Robustness/sophistication of technology
o Completeness of functionality o Reliability of technology o Scalability o Integration of components within
product o Integration with third party
technologies o Overall usability o Ease of installation o Ease of administration
- Quality and usefulness of product (continued)
o Customization and extensibility
o Ease of upgrade/migration to new versions
o Online forums and documentation
- - Quality of technical support
(Technical Support) (8 – 9 o’clock)
o Professionalism o Product knowledge o Responsiveness o Continuity of personnel o Time to resolve problems
- Quality and value of consulting
services (Consulting) (9 – 10 o’clock)
o Professionalism o Product knowledge o Experience o Continuity o Value
- Integrity (11 o’clock)
- Whether vendor is recommended
(Recommended) (12 o’clock)
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Actuate Detailed Score for SME
Figure 17 - Actuate detailed SME score
In the “Large Established Pure-Play” category, Actuate is generally in line with or
somewhat below peer scores among SMEs for most measures. It is best in class for
product robustness/sophistication of technology, customization, and extensibility, the
majority of technical support measures, and integrity.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Actuate Detailed SME Score
Peer Overall Actuate
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Adaptive Insights Detailed Score for SME
Figure 18 - Adaptive Insights detailed SME score
A first-time entry in the “Emerging” segment, Adaptive Insights generally exceeds the
majority of peer and all overall SME averages. It is best in class for follow up after the
sale, product scalability, integration of components within product, and continuity of
consulting personnel. It also has a perfect recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of…Integration with 3rd party…
Overall usabilityEase of installationEase of administrationCustomization and…Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Adaptive Insights Detailed SME Score
Peer Overall Adaptive Insights
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41
Birst Detailed SME Score
Figure 19 - Birst Detailed SME score
Birst is the leader in the “Emerging” category, generally exceeding peer and overall
SME averages. It is best in class for most sales and product measures, tech support,
continuity of personnel, time to resolve problems, and integrity. It also has a perfect
recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Birst Detailed SME Score
Peer Overall Birst
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42
Dimensional Insight Detailed SME Score
Figure 20 – Dimensional Insight detailed SME score
Dimensional Insight is the leader in the “Specialized” category and is “best in class”
among peers for a majority of measures in product, technical support, and consulting
categories. It also has a perfect recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Dimensional Insight Detailed SME Score
Peer Overall DimIns
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Dundas Detailed SME Score
Figure 21 – Dundas detailed SME score
Dundas, a member of the “Specialized” market segment, performs generally in line with
or slightly above peer average categories. It is best in class for tech support,
responsiveness, continuity of personnel, and consulting professionalism. It also has a
perfect recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Dundas Detailed SME Score
Peer Overall Dundas
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44
GoodData Detailed SME Score
Figure 22 - GoodData detailed SME score
A member of the “Emerging” category, GoodData is generally below peer and overall
averages, with the exception of technical support where it is best in class for
professionalism, product knowledge, and responsiveness.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of…Integration with 3rd party…
Overall usabilityEase of installationEase of administrationCustomization and…Ease of…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
GoodData Detailed SME Score
Peer Overall GoodData
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45
IBM Detailed SME Score
Figure 23 – IBM detailed SME score
IBM is the leader of the “Titans” category for SME and is best in class for most
categories of measurement including sales, technical support, consulting, integrity, and
recommended.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
IBM Detailed SME Score
Peer Overall IBM
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Information Builders Detailed SME Score
Figure 24 – Information Builders detailed SME score
A member of the “Large Established Pure-Play” category, Information Builders is
generally aligned with or above peers and the overall sample for SME. It is best in class
for all sales and most consulting measures, product scalability, integration with third-
party technologies, tech support, and time to resolve problems.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums and…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Information Builders Detailed SME Score
Peer Overall Information Builders
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47
Jaspersoft Detailed SME Score
Figure 25 – Jaspersoft detailed SME score
A member of the “Emerging” category, Jaspersoft * is generally in line with or above
peers and the overall sample. It is best in class for online training, forums,
documentation, and the majority of consulting measures.
*Jaspersoft was acquired by Tibco after data collection had been completed.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of…Integration with 3rd party…
Overall usabilityEase of installationEase of administrationCustomization and…Ease of…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Jaspersoft Detailed SME Score
Peer Overall Jaspersoft
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Jedox Detailed SME Score
Figure 26– Jedox/Palo detailed SME score
A member of the “Emerging” market segment, Jedox is generally above the overall
sample and in line with peer averages except for technical support where it trails peers.
It is best in class for integration with third-party technologies and overall usability.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of…Integration with 3rd party…
Overall usabilityEase of installationEase of administrationCustomization and…Ease of…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrityRecommend
Jedox Detailed SME Score
Peer Overall Jedox
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Jinfonet Detailed SME Score
Figure 27 - Jinfonet detailed SME score
A new entrant in the “Specialized” segment, Jinfonet is generally below overall and peer
averages for most measures with the exception of consulting where it is in line with
peers. It has a perfect recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Jinfonet Detailed SME Score
Peer Overall JInfonet
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Klipfolio Detailed SME Score
Figure 28 - Klipfolio detailed SME score
A new entrant in the “Specialized” segment, Klipfolio is generally above peer and overall
averages for most measures. It is best in class for most sales measures, value,
integration with third-party technologies, ease of upgrade/migration to new versions,
online training, forums, documentation, support professionalism, and time to resolve
problems. It has a perfect recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of…
Integration with 3rd…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Klipfolio Detailed SME Score
Peer Overall Klipfolio
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Logi Analytics Detailed SME Score
Figure 29 - Logi Analytics detailed SME score
A member of the “High Growth” market segment, Logi Analytics is in line with peer and
overall averages. It is best in class for time to resolve tech support problems and has a
perfect recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Logi Analytics Detailed SME Score
Peer Overall Logi Analytics
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Microsoft Detailed SME Score
Figure 30 - Microsoft detailed SME score
A member of the “Titan” SME market segment, Microsoft is generally above or in line
with peer averages. It is best in class for a number of product measures, overall value,
consulting professionalism, and value.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…Integration with 3rd party…
Overall usabilityEase of installationEase of administrationCustomization and…Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Microsoft Detailed SME Score
Peer Overall Microsoft
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Pentaho Detailed SME Score
Figure 31 - Pentaho detailed SME score
A member of the “High Growth” segment, Pentaho is generally below peer and overall
averages.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…Integration with 3rd party…
Overall usabilityEase of installationEase of administrationCustomization and…Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Pentaho Detailed SME Score
Peer Overall Pentaho
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Phocas Detailed SME Score
Figure 32 - Phocas detailed SME score
Phocas, a member of the “Specialized” market segment is generally in line with or
somewhat below peer averages.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of…
Integration with 3rd…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Phocas Detailed SME Score
Peer Overall Phocas
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Qlik Detailed SME Score
Figure 33 – Qlik detailed SME score
In the “Large Established Pure-Play” SME market segment Qlik is the leader. It is best
in class for value, most product measures, tech support, consulting product knowledge,
and consulting value. It also has a perfect recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Qlik Detailed SME Score
Peer Overall Qlik
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SAP Detailed SME Score
Figure 34 - SAP detailed SME score
In the “Titan” market segment, SAP trails peer and overall sample averages in most
categories.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
SAP Detailed SME Score
Peer Overall SAP
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Tableau Detailed SME Score
Figure 35 – Tableau detailed SME score
Tableau is generally in line with peer and overall averages except for product where it is
best in class for virtually all measures.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Tableau Detailed SME Score
Peer Overall Tableau
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Targit Detailed SME Score
Figure 36 - Targit detailed SME score
A new entrant in the “Specialized” segment, Targit is generally in line with peer and
overall averages except for consulting and sales measures where it falls below both
averages.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of…Integration with 3rd party…
Overall usabilityEase of installationEase of administrationCustomization and…Ease of…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Targit Detailed SME Score
Peer Overall Targit
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Tibco Detailed SME Score
Figure 37 - Tibco detailed SME score
The leader in the “High-Growth” market segment for SME, Tibco is best in class for a
majority of measures across sales, product, technical support, and consulting. It earns a
perfect recommend score.
00.5
11.5
22.5
33.5
44.5
5Sales professionalism
Product knowledge Understanding our…
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and…
Follow up after the sale
Value
Product…
Completeness of…
Reliability of technology
Scalability
Integration of components…
Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…
Ease of upgrade/migration…
Online training, forums…
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
ValueIntegrity
Recommend
Tibco Detailed SME Score
Peer Overall TIBCO
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SME Business Intelligence Buyer’s Guide
In this section, we present an SME Business Intelligence “Buyer’s Guide” organized by
key platforms: Traditional enterprise, Cloud and Mobile, and 19 different capabilities—
which vendors contributed to during our 2014 Wisdom of Crowds® data collection
process.
An “X” indicates a feature that was available in the vendor’s product in Q1 2014.
Traditional Platform Support - Vendors (A–D) Capability Actuate
Dimensional Insight Dundas
"Embedded" BI (contained within an application, portal, etc.) X X X
Ability to write to transactional applications
Ad-hoc query X X X
Advanced visualization X X X
Big data (e.g., Hadoop) support X
X
Collaborative support for group-based analysis X X X
Complex event processing (CEP) X
Data integration/data quality tools / ETL X
Data mining and advanced algorithms X
Data visualization X X X
End-user "self service" X X X
End-user data "blending" or "mashups" X X X
In-memory support X
Interactive analysis X X X
Location intelligence / analytics X X
Personalized dashboards X X X
Pre-packaged vertical/functional analytical applications X X
Production reporting X X
Search-based interface X X
Social media analysis (Social BI) X
Text analytics X
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Traditional Platform Support - Vendors (I)
Capability IBM Information Builders
"Embedded" BI (contained within an application, portal, etc.)
X X
Ability to write to transactional applications
X X
Ad-hoc query X X
Advanced visualization
X X
Big data (e.g., Hadoop) support
X X
Collaborative support for group-based analysis
X X
Complex event processing (CEP) X X
Data integration/data quality tools / ETL
X X
Data mining and advanced algorithms
X X
Data visualization
X X
End-user "self service" X X
End-user data "blending" or "mashups"
X X
In-memory support
X X
Interactive analysis
X X
Location intelligence / analytics X
Personalized dashboards
X X
Pre-packaged vertical/functional analytical applications
X X
Production reporting
X X
Search-based interface X X
Social media analysis (Social BI)
X X
Text analytics
X X
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Traditional Platform Support - Vendors (J-L)
Capability Jaspersoft Jedox Jinfonet Logi Analytics
"Embedded" BI (contained within an application, portal, etc.) X X X X
Ability to write to transactional applications
X X X
Ad-hoc query X X X X
Advanced visualization
X X X
Big data (e.g., Hadoop) support X
X X
Collaborative support for group-based analysis
X X
Complex event processing (CEP)
X
X
Data integration/data quality tools / ETL X X
X
Data mining and advanced algorithms
X
X
Data visualization X X X X
End-user "self service" X X X X
End-user data "blending" or "mashups"
X X X
In-memory support X X X X
Interactive analysis X X X X
Location intelligence / analytics
X X X
Personalized dashboards X X X X
Pre-packaged vertical/functional analytical applications
X X
Production reporting X X X X
Search-based interface
X X X
Social media analysis (Social BI)
X
Text analytics
X
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Traditional Platform Support - Vendors (M-P)
Capability Microsoft Pentaho Phocas
"Embedded" BI (contained within an application, portal, etc.) X X X
Ability to write to transactional applications X
X
Ad-hoc query X X X
Advanced visualization X X X
Big data (e.g., Hadoop) support X X Collaborative support for group-based
analysis X
X
Complex event processing (CEP) X
Data integration/data quality tools / ETL X X X
Data mining and advanced algorithms X X
Data visualization X X X
End-user "self service" X X X
End-user data "blending" or "mashups" X X X
In-memory support X X X
Interactive analysis X X X
Location intelligence / analytics X
X
Personalized dashboards X X X
Pre-packaged vertical/functional analytical applications
X
Production reporting X X X
Search-based interface X
X
Social media analysis (Social BI) X X X
Text analytics X
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Traditional Platform Support - Vendors (Q-S)
Capability Qlik SAP
"Embedded" BI (contained within an application, portal, etc.) X X
Ability to write to transactional applications X X
Ad-hoc query X X
Advanced visualization X X
Big data (e.g., Hadoop) support X X
Collaborative support for group-based analysis X X
Complex event processing (CEP)
X
Data integration/data quality tools / ETL X X
Data mining and advanced algorithms
X
Data visualization X X
End-user "self service" X X
End-user data "blending" or "mashups" X X
In-memory support X X
Interactive analysis X X
Location intelligence / analytics X X
Personalized dashboards X X
Pre-packaged vertical/functional analytical applications
X
Production reporting X X
Search-based interface X X
Social media analysis (Social BI) X X
Text analytics
X
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Traditional Platform Support - Vendors (T)
Capability Tableau Targit Tibco
"Embedded" BI (contained within an application, portal, etc.) X X X
Ability to write to transactional applications
X X
Ad-hoc query X X X
Advanced visualization X X X
Big data (e.g., Hadoop) support X X X
Collaborative support for group-based analysis X X X
Complex event processing (CEP)
X X
Data integration/data quality tools / ETL X X X
Data mining and advanced algorithms X X X
Data visualization X X X
End-user "self service" X X X
End-user data "blending" or "mashups" X X X
In-memory support X X X
Interactive analysis X X X
Location intelligence / analytics X X X
Personalized dashboards X X X
Pre-packaged vertical/functional analytical applications
X X
Production reporting
X
Search-based interface X X X
Social media analysis (Social BI) X X X
Text analytics X X X
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Cloud Platform Support - Vendors (A–D)
Capability Actuate Adaptive Insights Birst
Dimensional Insight
"Embedded" BI (contained within an application, portal, etc.) X X X X
Ability to write to transactional applications
X
Ad-hoc query X X X X
Advanced visualization X
X X
Big data (e.g., Hadoop) support X
X Collaborative support for group-based
analysis X X X X
Complex event processing (CEP) X
Data integration/data quality tools / ETL X X X
Data mining and advanced algorithms X
X
Data visualization X X X X
End-user "self service" X X X X
End-user data "blending" or "mashups" X
X X
In-memory support X X X X
Interactive analysis X X X X
Location intelligence / analytics X
X X
Personalized dashboards X X X X
Pre-packaged vertical/functional analytical applications X X X X
Production reporting X X X X
Search-based interface X X X X
Social media analysis (Social BI) X
X
Text analytics X
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Cloud Platform Support - Vendors (G -I)
Capability Good Data IBM
Information Builders
"Embedded" BI (contained within an application, portal, etc.) X X X
Ability to write to transactional applications X X X
Ad-hoc query X X X
Advanced visualization X X X
Big data (e.g., Hadoop) support X X X
Collaborative support for group-based analysis X X X
Complex event processing (CEP) X X X
Data integration/data quality tools / ETL X X X
Data mining and advanced algorithms
X
Data visualization X X X
End-user "self service" X X X
End-user data "blending" or "mashups" X X X
In-memory support X X X
Interactive analysis X X X
Location intelligence / analytics X
X
Personalized dashboards X X X
Pre-packaged vertical/functional analytical applications X X X
Production reporting X X X
Search-based interface X X X
Social media analysis (Social BI) X X X
Text analytics X X X
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Cloud Platform Support - Vendors (J-L)
Capability Jaspersoft Jedox Jinfonet
Klipfolio Logi Analytics
"Embedded" BI (contained within an application, portal, etc.) X X X X X
Ability to write to transactional applications
X X
X
Ad-hoc query X X X
X
Advanced visualization
X X X X
Big data (e.g., Hadoop) support X
X
X
Collaborative support for group-based analysis
X X X
Complex event processing (CEP)
X
Data integration/data quality tools / ETL X X
X X
Data mining and advanced algorithms
X
X
Data visualization X X X X X
End-user "self service" X X X X X
End-user data "blending" or "mashups"
X X X X
In-memory support X X X X X
Interactive analysis X X X X X
Location intelligence / analytics
X X
X
Personalized dashboards X X X X X
Pre-packaged vertical/functional analytical applications
X X
Production reporting X X X
X
Search-based interface
X X
X
Social media analysis (Social BI)
X X
Text analytics
X
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Cloud Platform Support - Vendors (M-P)
Capability Microsoft Pentaho Phocas
"Embedded" BI (contained within an application, portal, etc.)
X X
Ability to write to transactional applications
X
Ad-hoc query X
X
Advanced visualization X
X
Big data (e.g., Hadoop) support X X Collaborative support for group-based
analysis X
X
Complex event processing (CEP)
Data integration/data quality tools / ETL X
Data mining and advanced algorithms
Data visualization X
X
End-user "self service" X
X
End-user data "blending" or "mashups" X
X
In-memory support X
X
Interactive analysis X X X
Location intelligence / analytics X
X
Personalized dashboards X X X
Pre-packaged vertical/functional analytical applications
X
Production reporting X X X
Search-based interface X
X
Social media analysis (Social BI) X
X
Text analytics
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Cloud Platform Support - Vendors (Q-T)
Capability Qlik SAP Tableau Targit Tibco
"Embedded" BI (contained within an application, portal, etc.) X X X X X
Ability to write to transactional applications X
X
Ad-hoc query X X X X X
Advanced visualization X X X X X
Big data (e.g., Hadoop) support
X X X X
Collaborative support for group-based analysis X X X X X
Complex event processing (CEP)
X X
Data integration/data quality tools / ETL X X X X X
Data mining and advanced algorithms
X X X X
Data visualization X X X X X
End-user "self service" X X X X X
End-user data "blending" or "mashups" X
X
X
In-memory support X X X X X
Interactive analysis X X X X X
Location intelligence / analytics X X X X X
Personalized dashboards X X X X X
Pre-packaged vertical/functional analytical applications
X
X X
Production reporting X X
X
Search-based interface X X X X X
Social media analysis (Social BI) X X X X X
Text analytics
X X X X
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Mobile Platform Support - Vendors (A-D)
Capability Actuate Adaptive Insights Birst
Dimensional Insight Dundas
"Embedded" BI (contained within an application, portal, etc.)
X X X X X
Ability to write to transactional applications
X
Ad-hoc query X X X X X
Advanced visualization
X
X
X
Big data (e.g., Hadoop) support
X
X X
Collaborative support for group-based analysis
X
X
Complex event processing (CEP)
Data integration/data quality tools / ETL
X
Data mining and advanced algorithms
X
X
Data visualization X X X
X
End-user "self service" X X X X X
End-user data "blending" or "mashups"
X
X
In-memory support
X X
X
Interactive analysis X X X X X
Location intelligence / analytics X
X
Personalized dashboards
X X X
X
Pre-packaged vertical/functional analytical applications
X
X X
Production reporting
X X
Search-based interface X
X
Social media analysis (Social BI)
X
X
Text analytics
X
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Mobile Platform Support - Vendors (I)
Capability IBM Information Builders
"Embedded" BI (contained within an application, portal, etc.)
X
Ability to write to transactional applications
X
Ad-hoc query X X
Advanced visualization
X X
Big data (e.g., Hadoop) support
X
Collaborative support for group-based analysis
Complex event processing (CEP)
Data integration/data quality tools / ETL
Data mining and advanced algorithms
Data visualization X X
End-user "self service" X X
End-user data "blending" or "mashups"
In-memory support
X
Interactive analysis X X
Location intelligence / analytics
X
Personalized dashboards
X X
Pre-packaged vertical/functional analytical applications
X
Production reporting X X
Search-based interface
X
Social media analysis (Social BI)
X
Text analytics
X
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Mobile Platform Support - Vendors (J-L)
Capability Jaspersoft Jedox Jinfonet
Klipfolio Logi Analytics
"Embedded" BI (contained within an application, portal, etc.)
X
X X
Ability to write to transactional applications
X
X
Ad-hoc query X X X X
Advanced visualization
X X X X
Big data (e.g., Hadoop) support
X
X X
Collaborative support for group-based analysis
Complex event processing (CEP)
X
Data integration/data quality tools / ETL
X
X X
Data mining and advanced algorithms
X
Data visualization X X X X X
End-user "self service" X X X X X
End-user data "blending" or "mashups"
X X X X
In-memory support
X X X X X
Interactive analysis X X X X X
Location intelligence / analytics
X
X
Personalized dashboards
X X X X X
Pre-packaged vertical/functional analytical applications
X
Production reporting X
X X
Search-based interface
X X X
Social media analysis (Social BI)
X X
Text analytics
X
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Mobile Platform Support - Vendors (M-P)
Capability Microsoft Pentaho Phocas
"Embedded" BI (contained within an application, portal, etc.)
X X
Ability to write to transactional applications
X
Ad-hoc query
X X
Advanced visualization
X X X
Big data (e.g., Hadoop) support
X
Collaborative support for group-based analysis
X
Complex event processing (CEP)
Data integration/data quality tools / ETL
Data mining and advanced algorithms
X
Data visualization X X X
End-user "self service" X X X
End-user data "blending" or "mashups"
X
In-memory support
X X X
Interactive analysis
X X
Location intelligence / analytics X
X
Personalized dashboards
X X X
Pre-packaged vertical/functional analytical applications
X
Production reporting
X X
Search-based interface
X
Social media analysis (Social BI)
X X
Text analytics
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Mobile Platform Support - Vendors (Q-T)
Capability Qlik SAP Tableau Targit Tibco
"Embedded" BI (contained within an application, portal, etc.)
X X X
Ability to write to transactional applications X X
X
Ad-hoc query X X X
X
Advanced visualization
X X X X X
Big data (e.g., Hadoop) support
X X X X X
Collaborative support for group-based analysis
X X X
X
Complex event processing (CEP)
X X
Data integration/data quality tools / ETL
X
X
X
Data mining and advanced algorithms
X
X
Data visualization X X X X X
End-user "self service" X X X X X
End-user data "blending" or "mashups"
X
In-memory support
X X X
X
Interactive analysis X X X X X
Location intelligence / analytics X X X X X
Personalized dashboards
X X X X X
Pre-packaged vertical/functional analytical applications
X
Production reporting X X
X X
Search-based interface X X X
Social media analysis (Social BI)
X X X
X
Text analytics
X X
X
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Appendix - The 2014 Wisdom of Crowds® Business Intelligence Market
Survey Instrument
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