Table of Contents · QlikView unifies data sources for a complete view. SelectHub BI Comparison Report 2019 Benefits of Business Intelligence Software performance against individual

Benefits of Business Intelligence Software ....................................................... 3

Get Valuable Insights into Your Business 4

Visualize Important Information ............... 4

Data Mining ….......................................... 5

Establish Benchmarking .......................... 5

Performance Management ...................... 6

Sales Intelligence ..................................... 6

Streamline and Trim Operations .............. 7

Eliminate Guesswork ............................... 7

Improve Inventory Management .............. 7

Get a Competitive Edge ........................... 8

Capabilities Overview ................................. 10

Advantages and Disadvantages ................ 11

Data Visualization .................................... 11

Analytics .................................................. 11

Online Analytical Processing (OLAP) ...... 12

Document Management .......................... 13

Decision Services .................................... 13

Integrations ….......................................... 14

Big Data Integrations …............................ 15

Table of Contents

Tableau Server ............................................. 17

Cost of Ownership …................................ 17

Pricing Details .......................................... 18

Product Limitations .................................. 19

QlikView ……................................................ 20


Pricing Details .......................................... 21


Microsoft Power BI ...................................... 23


Pricing Details .......................................... 24


Tableau vs QlikView vs Power BI .............. 26

Tableau vs QlikView ................................. 26

Power BI vs Tableau ................................ 27

QlikView vs Power BI ............................... 28

Advantage Summary .................................. 30

The Benefits of Business Intelligence Software

You’ve probably heard the saying, “work smarter, not harder.” That turn of phrase might as well have been invented for BI tools. Business intelligence software (BI) is comprised of a range of data analytics tools designed to analyze and manage data related to your business operations. So what are the benefits of business intelligence software? Some

business intelligence benefits include rich visualization capabilities that allow businesses to monitor sales, logistics and even productivity. It also provides extensive data analysis

using richly visualized, intuitive reports.

By presenting your data in an easy to understand format, BI software helps you to have a better understanding of your business’ strengths and weaknesses while providing

actionable insights into KPIs and other important metrics. This makes it a critical tool to ensure competitiveness and profitability.

In the next few pages we give you 10 key operational benefits of business intelligence software.

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Benefits of Business Intelligence Software

1. Get Valuable Insights into Your Business

Business intelligence software benefits and functionality constantly collect and analyze data in order to deliver actionable insights for your business. Professionals can generate reports on a variety of data sets like expenses, operations processes, staffing and customer service.

There are numerous types of reports you can create using BI tools. All BI platforms will offer pre-formatted reporting capabilities that collect data for common KPIs. Businesses can also generate customized or self-service BI reports, applying BI’s excellent visuals to unique, organization-specific data sets. If neither of these options give you what you need, users can run an ad-hoc report, which is put together entirely by users and usually focuses on a very specific KPI that can’t be targeted by other types of reports.

Another unique benefit of business intelligence reports is the relevance of information. Because reports contain relevant data collected within your business operations, businesses are better able to act based on the information contained in BI reports. Plus, you don’t have to be a data scientist to use BI tools — the data visualizations generated by these tools are easy to understand and explain. In SelectHub’s recent survey of organizations in the market for BI software, 48 percent of buyers listed reporting as a desired feature.

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2. Visualize Important Information

Operational reports can be difficult to interpret, reducing an organization’s ability to recognize and act on key metrics. One of the key benefits of BI software is that it provides excellent data visualization capabilities, allowing users to create intuitive data visuals that are easy to understand and simple to interpret.

Charts, graphs, videos, animations and infographics are more engaging ways to transmit information than blocks of numbers or spreadsheets. This is partly because the human brain is hardwired to process cognitive information — information that takes more than a glance to interpret and digest — much slower than visual information. Of those surveyed in SelectHub’s recent survey, 81 percent of respondents expected visualization features from their BI platform.

Tableau offers powerful data visualization capabilities

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3. Data Mining

BI analytics tools are exceptionally well-suited for powerful data mining. Data mining is the process of seeking patterns in data in order to identify trends and draw insights. It can be broken into five steps: collection, warehousing and storage, organization, analysis, and presentation. Some BI platforms can perform all of these steps for an organization, although others require support from business analytics tools, Big Data analytics systems or data warehousing platforms.

BI analyzes, processes and renders vast amounts of data that cannot be managed with weaker programs. It integrates with data warehousing solutions, in-house databases (e.g. SQL servers), as well as both structured and unstructured data. This allows easy access to valuable information and enhanced

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decision-making processes that businesses might otherwise miss.

Because BI software is able to instantaneously analyze incoming data, it helps companies catch fleeting opportunities that they might otherwise miss. With the customized reports produced by BI connected to a data warehouse, companies can more easily pick up on trends in company spending, staffing, operations, client development and more.

4. Establish Benchmarking

Fast thinking and effective decision-making is important in achieving success in a business endeavor. Often, those in charge of running a business don’t have the time to conduct a large-scale research project and a particular industry development or product release. Using business intelligence software is like constantly having an in-depth research project in progress that’s compiling information for groundbreaking decision-making.

Benchmarking is a valuable data analysis tool businesses use to gauge their productivity, revenue and overall success relative to that of their competitors. Organizations often struggle with benchmarking, but BI simplifies the process, providing actionable information and reports that are easily understood. That’s why benchmarking is one of the core BI requirements users look for in a BI platform.

Benchmarking reports offer accurate, timely data that allow businesses to evaluate their

QlikView unifies data sources for a complete view.

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performance against individual KPIs or trends over time, providing valuable insight into the organization’s current state. With predictive analytics capabilities, users can take these benchmarks and implement them proactively, getting ahead of their competitors instead of chasing behind them.

5. Performance Management

BI also helps track, manage and implement performance goals. With BI tools, businesses can input data-based goals such as sales goals or target delivery time, then track progress on a daily basis. This tracking mechanism is known as performance management, and it provides some of the most effective and easily implemented goal management available.

BI applications make information readily accessible that would ordinarily take hours or weeks to track down and organize. Another business intelligence benefit is that by using dashboards and real-time data, users can easily organize important information and get moment-to-moment updates. This makes for a great deal of time savings and allows you to deal with problems immediately.

With BI’s intuitive visual analytics capabilities, professionals can track goal fulfillment and use that information to gauge overall organizational productivity. When properly implemented, BI tools can boost your performance significantly.

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6. Sales Intelligence

One of the most important BI benefits is that it enhances awareness. Those who design business intelligence software know companies can’t take advantage of opportunities they’re not aware of. They therefore design software to make those fleeting opportunities noticeable and provide the details that allow companies to make the most of them.

The reports and data produced by business intelligence systems are great when you need to backup your claims with hard data when negotiating with potential clients. It can also be helpful to make quick sales decisions with real-time data and mobile BI reports. A business intelligence system might just turn out to be the most powerful tool you have when you’re trying to convince clients, vendors or suppliers of the potentials and capabilities offered by your company’s products and services

A sales analytics dashboard from Power BI

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When it comes to sales, this type of software is not only effective at supporting your arguments. It also helps you identify trends in customer preferences so you’ll be the first in your industry to know what to offer customers in order to maximize sales. Plus, nothing tops off a pitch like a beautiful visualization of data — BI has your back.

7. Streamline and Trim Operations

A lesser-praised advantage of business intelligence software is its ability to cut down waste. Anything that doesn’t add value to your company can be considered waste: this includes operational and administrative work that can be automated with a BI system. BI does the work that data entry employees or data analysts would typically get saddled with like data organization, de-duplication and other repetitive tasks.

This benefits business intelligence: first, employees can devote their time to more intensive tasks, increasing productivity. It can also save time, money and reduce human

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error. It also allows users to identify how well the organization is doing with the current staff so you can grow or downsize accordingly.

BI systems can identify waste in your overall operations as well. It does this by pinpointing pain points, bottlenecks and inefficiencies in manufacturing, operations and sales. With predictive analysis features, BI will even offer suggestions to alleviate these problem areas.

8. Eliminate Guesswork

Without business intelligence software, companies are basically forced to gamble when making many important decisions regarding management, finances, marketing efforts and more. With business intelligence software, the decisions made by company leaders are more data-driven and often result in a competitive advantage for your organization.

BI implements a data structure to encourage data-driven decision-making and helps you know the best plan — not just guess at it. This business resource will not only lead to greater profitability, but it will take a great deal of the stress and uncertainty out of running a business.

9. Improve Inventory Management

The advantages of business intelligence systems can even extend into purchasing, procurement and inventory management. Users can generate reports detailing stockroom needs to determine when to purchase new inventory. BI also tracks Tableau allows non-technical users to identify trends in data

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inventory going out, so you can better prepare for future buying trends and reduce inventory waste.

10. Get a Competitive Edge

The number of businesses utilizing BI is only increasing. According to Forbes, 53 percent of companies they interviewed use some form of BI — up from only 17 percent in 2015. It’s not unreasonable to predict that in the next 10 to 20 years BI adoption will be the norm. This is especially true as the BI market gains increasing pervasiveness and traction. The future is bright for BI.

Business intelligence gives organizations a tangible competitive edge in an ever-increasingly competitive market. Making quick decisions in the business world is part of the job, but knowing those decisions are based soundly in data-driven insights offers another level of security and confidence.

BI even offers fraud monitoring and risk management features! By tracking patterns and monitoring data behavior, BI can identify how likely it is that a transaction, person or network is fraudulent. The same data mining feature that can give sales teams insight into customer desires can be used to make risk assessments and predictions, protecting your organization.

Zero in on the best Business Intelligence systems for your company.

Unlike some ratings, SelectHub product ratings are taken from multiple sources

including top analysts and actual buyers of human resource management

software—ideal for your shortlist.

Over 100 BI systems evaluated!

View Leaderboard Report

https://app.selecthub.com/community/reports/580037b2deba89470db76486160c8f0e_9c902db7c92f95c582e2436c15d2272f



Tableauvs

QlikViewvs

Power BI“Analytics is the primary enabler to derive truth and meaning from data that drives

the business growth” – Hugo Moreno via Forbes.

Companies rely on data more than ever before, as almost all information is completely digitized. Business intelligence software makes sense of the modern data landscape. The best BI systems offer features that analyze and report data for streamlined presentation.

Some of the top tools in the industry are Tableau, QlikView and Microsoft Power BI.

If you’re evaluating Tableau vs QlikView vs Microsoft Power BI, read on. We highlight the key pros and cons of each and include a comprehensive business intelligence tools

leaderboard showing how each stacks up across key business and functional requirements.

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Capabilities Overview

Our comparison of Tableau. QlikView and Microsoft Power BI considers the

visualizations, analytics, OLAP, document management, decision services and integration features of the three systems. Tableau is the superior visualization tool and QlikView holds the advantage in analytics, but Power BI tops the competition for its decision services and integration capabilities.

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Advantages and Disadvantages

Data Visualization

Tableau leads the industry in data visualization software. The company is investing heavily in advanced data federated, clustering, segmentation and more powerful analytics functions. The user-friendly interface allows non-technical users to quickly and easily create customized dashboards to provide insight into a broad spectrum of business information. The drag-and-drop capabilities of the solution, paired with its extensive data source connections, make Tableau a front-runner in the realm of data visualizations.

Along with standard report creation features — visualization templates, customizable views, configurable graphics — QlikView’s data visualizations factor in real-time, interactive analysis as reports are made. When the system is in use, all relevant visualizations and data sets are displayed for quick reference. Qlik’s product strengths include an in-memory engine capable of visualizing patterns and producing associative analytics that isn’t achievable using SQL alone. The in-memory engine is scalable enough to integrate with many different types of data sources, creating a unified dashboard showing analytics, metrics and key performance indicators (KPIs) of interest.

Microsoft Power BI hosts one of the most user-friendly data visualization tools in the business intelligence market. The drag-and-drop functionality of the software, along with access to over 85 data

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visualization applications, provides an uncomplicated experience that results in visually appealing and informative reports. Microsoft Power BI utilizes many of the same functions available in Excel, so users with experience in the Office staple will be able to adapt to this visualization tool. Creating reports through Microsoft Power BI results in data portraits that can be shared across teams and accessed on any device.

Tableau surpasses its competitors in the category of data visualization. With its intuitive interface, customizable presentation options and real-time analytics, Tableau provides an all-inclusive and user-friendly data visualization experience.

Analytics

Tableau is committed to providing a tool to enterprises that reflects their urgent analytics requirements. This is evident in the enhancements to data federation, streamlined interfaces, advanced analytics and improvements to mobile exploration and authoring. Tableau reflects the needs of organizations that want to move beyond the data visualization aspects of their applications and get more advanced analytics work done. Support for more complex data federation workflows, making data mashups more reusable and making improvements to mobile app development to support all mobile screen sizes is available in the software.

Unlimited data sources can be combined in QlikView without the need for initial preparation. Qlik relies on sophisticated

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analytics that enables data discovery using an in-memory engine to analyze data for patterns not visible via SQL data structures or queries. The system’s Social Media Analytics function analyzes data from social channels including Twitter, Foursquare and Disqus, and QlikMaps provides location analytics. QlikView promises “speed of thought” automatic analysis and insights as users interact with their data. The software’s guided analytics features provide a path through data and point users in the direction of insights, helping employees of all skill levels perform analytics.

As stated in the aforementioned Forbes article, “Data analytics skills gaps persist across the enterprise, as 27 percent of analytics professionals surveyed cite this skills gap as a major impediment in their data initiatives.” QlikView’s guided analytics help with some of these skill gaps.

The accessibility of a familiar Microsoft platform ensures an easy-to-learn, low-cost Power BI experience. The analytics interface of Power BI closely resembles Excel, assuring recognizable functionality. Microsoft Power BI creates complex data analyses that include premise-based data sources and integration points. Data prep, data discovery and interactive dashboards are all included in the Power BI Suite and Power BI Desktop. Measurement, organizational and predictive features allow for simple data management and trend interpretation. Besides the tools for standard data analysis, Power BI hosts integration with location-based data programs 12

such as SQL Server Geospatial, BING and Esri ArcGIS.

In the comparison of QlikView vs. Tableau and Microsoft Power BI, QlikVIew has the best analytic features. The software boasts a flexible analytics platform that allows businesses to customize guided analytics applications that update during use.

Online Analytical Processing (OLAP)

Tableau can connect to OLAP cubes as a means of exploring layers of data at the deepest level. Drill-down features, along with filtering abilities and time-series auto-generation, serve as the tools needed to dive into these multidimensional datasets and access the insights they provide.

Access to online analytical processing through QlikView provides encapsulated data views. With this software, users can analyze the depths of OLAP data and relate insights back to their own findings. The QlikView OLAP Connector extracts data from large databases and data exploration features like drill-down capabilities provide access to the deepest levels of data cubes. Diverse databases provide a full view of analyses, viewing the layers of data cubes through multiple perspectives.

Microsoft Power BI connects to OLAP cubes via SQL servers for multidimensional data analysis, information extraction, pattern observation and data mining. Predictive analytics features forecast potential future trends. The software provides a list of data

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measures to display in the report. The selected dimensions are featured alongside visualization options during report creation. As a typical OLAP platform, Power BI includes drill-down and other data exploration tools.

Tableau, QlikView and Microsoft Power BI share OLAP capability; the programs all feature standard OLAP functionality on the same level.

Document Management

Tableau has included support for publishing analytics content on a variety of publishing platforms. Options available for report formatting include PDFs, spreadsheets, images and crosstabs. Users can view all stages of a report’s creation with a feature that archives all past versions to be viewed later.

QlikView users can convert reports into XLS, HTML, XML, QVX and PDF formats — with the help of a PDF Report Distribution add-on. The software supports QlikView script files (qvw) to allow for simplified tracking and comparison of binary files. QlikView’s version control tool can track fluctuations in data.

Reports generated in Microsoft Power BI can be exported as PDF, TIFF, HTML and Microsoft Office files. Power BI files include desktop files (pbix) and templates (pbit). With Microsoft as the engine behind Power BI, report exporting and document access is simple. However, Power BI does not directly support version control. 13

These three business intelligence solutions are equivalent in the category of document management. All of the programs are able to convert reports into multiple formats with ease.

Decision Services

Tableau’s consulting services provide a resource for assistance in data analysis interpretation and decision making. Fraud detection tools embedded in the software serve as a robust security measure. Included as part of this focus on broader analytics support are improvements to self-service data preparation, more control over data governance and metadata management, and additions to embedded advanced analytics.

QlikView’s financial services and banking tools provide accurate knowledge and analysis that leads to informed decision making, while security measures minimize fraud risk. Necessary regulations and policies are monitored with QlikView Governance Dashboard compliance tools. QlikView Logs provide data on CPU, RAM, Disk, Process, User, Document and Reload information. The vast range of QlikView’s BI tools can be learned quickly using their online tutorials and learning systems. The product comes bundled with numerous tutorials, how-to guides and other self-help resources, as well as a team of QlikView experts. Qlik’s consultants can assist with each step of learning the system’s capabilities, from beginner lessons to pulling data insights and creating applications.

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Microsoft Power BI can be used as a financial analysis tool with fraud protection, compliance monitoring and additional security features. Regulatory compliance is managed through a data residency model that focuses on compliance requirements, including those of the Free Trade Association and European Union. Analysis functions display trends and offer insights through consulting services. Power BI consultants give users a support system for all inquiries concerning the software’s functions. Not only serving as a guide to the software’s functions, consulting services through Microsoft Power BI offer insight into the analyses provided by the system. Additional services include financial analytics, fraud prevention and security measures, and compliance monitoring. Microsoft has also collaborated with companies like Dell, Avanade Inc. and Bismart for the Power BI partner program — a team of over 300 organizations bringing solutions and expertise to users. And with the Power BI partner search engine, businesses can use filters to find the right solution for their location, industry and company size.

When considering Power BI vs Tableau or Power BI vs QlikView, the partner companies of Microsoft Power BI place the program’s decision services above the others. Power BI partners provide an extensive source of know-how unmatched by competitors.

Integrations

Tableau includes improved support for REST APIs and JavaScript, making integration across analytics platforms more efficient and

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less reliant on customized programming. Tableau’s integration support, through the use of APIs, allows for streamlined collaboration with programs such as Google Analytics, SAP, Salesforce, Microsoft Office, enterprise resource planning software and social media channels. Security system integrations with programs such as Active Directory, Kerberos and OAuth add an extra level of protection to the software’s built-in security measures.

Qlik has one of the most advanced Application Programming Interface (API) command sets in the analytics industry and has continually been improving its functionality over the last several years. QlikView’s API provides seamless integration with other tools and the data housed within them. With many enterprises requesting API support, Qlik has also provided APIs to control functions previously accessible only through the user interface. The result has been rapid adoption of the Qlik Analytics Platform (QAP), which is being used today by developers to embed analytics queries into reporting and analytics apps. QlikView has the ability to extract data from standard open database connectivity (ODBC) and OLE connections and non-standard, unstructured sources like text files and XML files. Integration with web services, security tools, legacy systems and metadata is offered through QlikView as well. The software advertises coordination with Excel, Salesforce, SAP Netweaver and Microsoft SharePoint.

Microsoft Power BI possesses the advantage of Microsoft’s familiarity and connections to

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assorted applications. Users of Microsoft Power BI can mine data from programs such as Microsoft Excel, Google Analytics, MySQL, Oracle, Salesforce, MailChimp, Facebook and Zendesk, with new data sources added every month. The Microsoft foundation of this analytic tool ensures a smooth meshing of Power BI with the existing work base of a business. One of the more innovative features of Microsoft Power BI is the ability to use browser- and desktop-based authoring with apps and platforms that are both on-premise and in the cloud. This hybrid integration strategy is based on the Microsoft Azure Cloud APIs.

The Microsoft backing of the Power BI platform ensures simple integration with a number of external applications. Nearly every program that works with Microsoft can integrate with Power BI, offering an expansive library of possible collaboration options.

Big Data Integration

Tableau can connect to nearly any data repository, ranging from MS Excel to Hadoop clusters. The program opens up data source integration to a broad range of relational databases, Hadoop distributions and NoSQL. Additionally, support for IBM SPSS, SAS and open source R data files is included in the product. There is also a Web Connector that supports integration to Marketo, SQL and other enterprise systems.

QlikView can pull data from many sources to ensure a complete portrait of information and

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its relationships. A benefit of QlikView is that it can plug into almost any data source, making it the most versatile of the modern intelligence tool offerings. The software uses its Qlik Connectors application to pull data from various sources. The Qlik DataMarket is a resource that offers users a place to acquire external data sources. The extensive databases provided by the Qlik DataMarket open businesses to new tools for managing data.

In conjunction with other Microsoft offerings, including Azure, SQL Server Analysis, real-time data streaming and R-analytics, Power BI provides a broad analytics landscape. Connect Power BI to in-house data sources or external sources like Hadoop, Azure HDInsight and Spark for a full range of data access. Open database connectivity integration provides access to big data sources. Users can visualize, analyze, report and share data pulled from ODBC sources.

The simplicity of Microsoft Power BI’s big data integrations places the solution above Tableau and QlikView. Power BI presents databases in a menu view where users can simply select their data source of choice, connect to the data and begin the process of analysis and reporting. If big data integration is one of your key business intelligence requirements, consider this when evaluating Tableau vs Power BI or Power BI vs QlikView.

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Tableau Server

Tableau server empowers everyone in your organization to see and understand their data. It is at the centre of your business intelligence. It ensures a user can explore and share data in a trusted and secure environment that scales to meet your organization's demands. It naturally fits within the fabric of your business to provide the governance, your business needs, this means your team can connect to and manage data on-premises or in the cloud from spreadsheets databases, big data and cloud applications

It also enables to analyze in Tableau desktop and securely share your results to Tableau Server in seconds, create beautiful visualizations to highlight opportunities in your business, empower everyone to drag and drop and explore data to see patterns and quickly spot trends without limiting them to predefined questions, wizards or chart types bring meaning to your data and find answers in minutes. Tableau server visual tools help you manage and monitor everything from user permissions to data source connectivity and the status of the server.

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Cost of Ownership

License/Subscription Cost Based on number of users.Subscription costs allow users to access Tableau over a set time-frame on both on-premise and cloud.

Maintenance Cost An additional cost over and above the upfront cost has to be paid for ongoing support and maintenance

Installation/Implementation Cost ● On-Premise: Typically charged over and above the license cost

● Cloud-based/SaaS: Included in the monthly subscription cost

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Tableau Server

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Cost of Ownership

Installation/Implementation Cost Custom version cannot be requested - rather users can do limited customizations on their own, such as:

● User can change the server name that appears in the browser tab, tooltips, and messages

● User can change the logos that appear in different server page contexts

● User can control the language used for the server user interface and the locale used for views

● Custom fonts can be installed for different clients● Administrators and project leaders can also add

images to projects

Data Migration Cost/Change Management/Upfront Switching Cost

Data Migration is possible in Tableau Servers and can be done with the following tools - Tabcmd Script, REST API, TabMigrate and Enterprise Deployment Tool by InterWorks

Training Cost ● Two types of training can be obtained – in-person or virtual. In-person training takes 2 days whereas Virtual classes take 4 days

● Training costs $1,400 per person for each type of training

Recurring/Renewal Costs Renewal cost is equivalent to the fees paid annually, based on the number of users

Pricing Details

Category Description Price/Details

Tableau Server On-Premise/Public Cloud

● On-premises or on public cloud with Amazon Web Services, Microsoft Azure, and Google Cloud Platform

● Centrally manage data sources and workbooks● Explore analytics from any browser or mobile

device● Author in your browser and subscribe to

workbook updates

On- premise / Cloud based –$35 per user per month

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Tableau Server

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Pricing Details


Tableau Online Fully Hosted

● SaaS form of Tableau Server with maintenance, upgrades, and security fully managed by Tableau

● Centrally manage data sources and workbooks● Explore analytics from any browser or mobile

device● Author in your browser and subscribe to

workbook updates

$42 per user per month

Deployment Options What options are available for product deployment? Cloud-based/SaaS

Pricing Model What is the pricing model? Subscription-based

Minimum Commitment Is there a minimum monthly or yearly commitment required for purchase?

Minimum commitment of one year is required

Custom Quote Is there an option of requesting custom quote? Not Available

Free Trial Does the vendor provide a free trial option? Yes

Product Limitations

Some of the product limitations include:

● Tableau Server does not support data encryption● Does not provide multi-location support● The solution is not user-friendly, especially the report-builder● Does not allow users to share datasets, and requires a separate subscription package● Requires IT support for integrations and other high-end tasks. Users cannot do this using

tutorials or self-help videos on their own

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QlikView

QlikView, a product of Qlik is rapidly growing as one of the fastest BI and data visualization software. It is gaining popularity among companies as the product can be deployed quickly, can be used and learned easily. It is known for its powerful data discovery and interactive guided analysis. The product is the leader in the market for its data discovery feature.

In the current highly competitive market, QlikView to meet the demands such as management and scalability needs of most enterprises has developed a highly advanced enterprise-class architecture. To ensure the quality of interactive data discovery, it provides a highly scalable, secure, and manageable environment. No matter where the data is located, data is file-based, on-premise, in the cloud, or in big data sources, it can access, combine and load the data from their exact location.

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Cost of Ownership

License/Subscription Cost Based on a combination of server, user, document and application-based licensing

Maintenance Cost ● For On-Premise solution, maintenance cost is over and above the upfront fee

● Standard support services are charged at 20% of the license cost

● Premium (24X7) support services are charged at 23% of the license cost

Installation/Implementation Cost Implementation services are provided by QlikView Consulting or through an implementation partner at an additional cost

Customization Cost Will vary depending on the functional requirements or services chosen


Dependent on your current software, amount of data to be migrated, availability of migration tools, complexity of data and gaps between the existing system and the new system.

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Qlikview

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Cost of Ownership

Training Cost ● E-learning or self-learn modules are available free of cost on QlikView.com

● All other trainings are charged based on volume. Live classroom training or online (virtual classroom) training is charged at $700 per person per day or $3,500 for a dedicated course (1 company) for up to 10 people

Recurring/Renewal Costs Renewal costs includes software update license and support cost

Pricing Details


QlikView Client License Pricing

● Personal Edition● Named User License● Document License● Concurrent License

● Personal Edition: Free● Named User License: $1,350

per named user● Document License: $350 per

named user, per document● Concurrent License: $15,000

per concurrent user

QlikView Server License Pricing

● Enterprise Edition Server● Small Business Edition Server (up to

25 named users)● Test Servers● QlikView Publisher● PDF Report Distribution Service● Connector to SAP NetWeaver®● Connector to Salesforce.com● Connector to Informatica

● Enterprise Edition Server: $35,000 per server

● Small Business Edition Server(up to 25 named users): $8,400 per server

● Test Servers: 50% of server license cost

● QlikView Publisher: $21,000 per server

● PDF Report Distribution Service: $21,000 per server

● Connector to SAP NetWeaver®: $22,500 per server

● Connector to Salesforce.com: Free

● Connector to Informatica: Free

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Qlikview

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Pricing Details


QlikView Extranet & Other Products

● Extranet● Extranet Server● Extranet Server Concurrent License● Other products● Information Access Server● QlikView Workbench 5● Web parts for Microsoft SharePoint

● Extranet Server: $18,000 per server

● Extranet Server Concurrent License: $3,000 per server

● Other products● Information Access Server:

$70,000● QlikView Workbench 5:

$4,200 per server● Web parts for Microsoft

SharePoint: $4,200 per server

Deployment Options What options are available for product deployment?

On Premise

Pricing Model What is the pricing model? Licensing

Minimum Commitment

Is there a minimum monthly or yearly commitment required for purchase?

Typically, a minimum commitment of 1-3 years is required for license based solutions

Custom Quote Is there an option of requesting custom quote?

Available


Product Limitations


● Does not support online analytical processing (OLAP)● Users cannot predict the profitability of projects or departments using QlikView● The solution does not help users identify patterns within data● Lacks ad hoc reporting functionality● Does not allow users to schedule receiving BI reports at specific times in a particular format

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Microsoft Power BI

MS Power BI is a business intelligence service provided by Microsoft. The BI tool can be broken down into several tools such as Power Query which is used to extract and transform data; Power Pivot is mainly used to model and analyze data and Power View and Map tool is used to visualize data. It provides interactive visualizations and self-service business intelligence capabilities which enables users to create reports and dashboards by themselves, without the support of IT or database and system administrators.

It provides a cloud-based BI service which is known as "Power BI Services", also providing a desktop based interface which is known as "Power BI Desktop". It offers data warehouse capabilities such as data preparation, data discovery and interactive dashboards. It is also popular for its ability to load custom visualizations.

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Cost of Ownership

License/Subscription Cost Based on number of users for Power BI Pro and Capacity-based pricing for Power BI Premium (refer pricing section for more details)

Maintenance Cost Included in the subscription cost

Installation/Implementation Cost Included in the subscription cost. Additional charges may apply for data migration during implementation, maintaining on-premise data sources and building dashboards and reports

Customization Cost Dependent on your current software, amount of data to be migrated, availability of migration tools, complexity of data and gaps between the existing system and the new system.


● Dependent on the type of training opted by an Organization, whether it is end-user training or group/department training or video/self-training or training the trainer.

● Self-guided trainings are available free of cost whereas self-paced and online classroom training can be charged between $175 to $300 for a Power BI course

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Microsoft Power BI

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Cost of Ownership

Recurring/Renewal Costs Renewal cost is equivalent to the fees paid monthly or annually

Pricing Details


Power BI Desktop Author

● Connect to hundreds of data sources● Clean and prepare data using visual

tools● Analyze and build stunning reports

with custom visualizations● Publish to the Power BI service● Embed in public websites

Free

Power BI Pro Share and Collaborate

● Build dashboards that deliver a 360-degree, real-time view of the business

● Keep data up-to-date automatically, including on-premises sources

● Collaborate on shared data● Audit and govern how data is

accessed and used● Package content and distribute to

users with apps

$9.99 per month per user

Power BI Premium For large deployments

● Gain dedicated capacity you allocate, scale, and control

● Distribute and embed content without purchasing per-user licenses

● Publish reports on-premises with Power BI Report Server

● Unlock more capacity and higher limits for your Pro users

● $4,995 per node per month● Approx. $24,975 per month

for 5000 users with 3 nodes (Power BI Premium cost will be $14,895 + $9,900 for 100 BI pro users)

● Power BI pro licenses need to be purchased for Power BI premium subscription for content authoring

Deployment Options What options are available for product deployment?

Cloud - based/SaaS

Pricing Model What is the pricing model? Subscription and Capacity-based

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Pricing Details


Minimum Commitment

Is there a minimum monthly or yearly commitment required for purchase?

Minimum annual commitment is required for purchase

Custom Quote Is there an option of requesting custom quote?

Available


Product Limitations


● No integration available for services like Vend POS, Shopify directly● Graphical visualization is fairly limited as compared to other BI tools● Does not support SQL queries● Comparatively difficult to work with huge data sets on Power BI● Does not let users build scheduled reports, personalized user views, personalized

notifications, personalized security views, or customizable reports

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Tableau vs Qlikview vs Power BI

Comparing Tableau vs QlikView

Qlik’s reputation for developing enterprise-level products that deliver excellent customer experiences is accelerating as QlikView continues to attract new customers to the company and extend Qlik’s market growth. Qlik Sense continues to be the company’s lead product, further strengthening their market position in the data discovery, stand-alone and embedded analytics markets. Over the year, Qlik has also grown its global partner network, which is also accelerating Qlik’s overall market adoption.

Qlik’s product strengths include an in-memory engine capable of visualizing patterns and producing associative analytics that isn’t achievable using SQL alone. The in-memory engine is scalable enough to integrate with many different types of data sources, creating a uni/ed dashboard show analytics, metrics and key performance indicators (KPIs) of interest. Many of Qlik’s enterprise customers say QlikView and Qlik Sense are easy to use and their dashboards and intuitive and easy to understand. A few are using NPrinting for reporting and have had good results.

Tableau and Qlik are comparable and share many of the same strengths and weaknesses. The following is an analysis of how each compares:

Analysis and Content Creation – Tableau excels at advanced embedded analytics, and is a solid leader in the analytics and BI market on this feature. Qlik lags behind 26

Tableau on this aspect of embedded analytics. Both Qlik and Tableau are evenly matched on their support for SmartData Discovery as well. Overall, however, Tableau dominates the analysis and content creation feature set comparison of these two companies.

Tableau’s depth of expertise and feature richness are evident in how advanced their interactive visual exploration, analytics dashboards and support for mobile-based exploration and authoring are. Analytics supported across visual exploration, dashboards and supporting with mobile authoring all reside in the cloud, providing enterprises with 6exibility in reporting and analysis.

Enterprise Data Management Components – Qlik’s architecture has been designed to support self contained ETL and data storage, making this series of features a strength versus Tableau. Both Qlik and Tableau are evenly matched on self-service data preparation, an area both companies have publicly stated they are investing a signi/cant amount of their R&D budgets in this year. Both Qlik and Tableau are also evenly matched on metadata management, an area both have designed into the core components of their applications and data platforms.

Features That Support Publishing Findings – Qlik is more advanced than Tableau at embedding analytic content, while Tableau has the edge when it comes to embedding advanced analytics content across all platforms. Qlik has a more

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streamlined approach to publishing, sharing and collaborating with data than Tableau. Qlik’s emphasis on delivering an excellent user experience is what makes them a stronger contender in this area.

Support For Infrastructure Components – regarding administrative tasks, security, and architecture, Qlik has the lead over Tableau. Qlik’s infrastructure is designed to scale in enterprises more e:ciently by providing IT with the needed support, tools and if needed, partner support, to get up and running fast. On infrastructure integration, Tableau has a slight edge given the popularity, stability and overall maturity of its APIs. Qlik also has extensive integration options and expertise, yet Tableau has been able to capitalize on their market momentum and gain more integration partners and support. Cloud BI is also a component of infrastructure, and both Tableau and Qlik are comparable on this feature.

Bottom line: Qlik and Tableau are well-matched on all aspects of analytics and BI, with Tableau having the edge on platform work integration and ease of use and visual appeal.For enterprises that rely on a wide variety of data integration points, Qlik has the edge given the depth and breadth of its options in this area.

Comparing Power BI vs Tableau

When comparing Power BI vs. Tableau, Microsoft continues to emphasize ease of use and price when competing against Tableau. Conversations with enterprise buyers indicate

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Microsoft is pricing Power BI at nearly one-third the license cost of a typical three year BI license and is also offering one of the lowest subscription pricing programs in the market today. The Power BI Suite is delivered on the Microsoft Azure Cloud platform, with the Power BI Desktop provided on-premise as a stand-alone option.

Microsoft Power BI Desktop is also popular with power users who are creating complex data analyses that include premise-based data sources and integration points. Data Prep, data discovery, and interactive dashboards are all included in the Power BI Suite and Power BI Desktop.

Tableau and Microsoft Power BI are both considered superior at intuitive design and ease of use, with Microsoft having an edge on infrastructure support and components, and Tableau being the leader on ease of use. The following is an analysis of how each compares:

Analysis and Content Creation – Tableau’s expertise in these areas of analytics and BI application development are evident in how advanced their embedded advanced analytics are relative to Power BI. Tableau is a generation ahead of many competitors in the fields of advanced embedded analytics.

Also, Tableau is superior to Microsoft Power BI when it comes to creating and keeping real-time dashboards current with real-time data integration. Microsoft Power BI and Tableau are comparable on interactive visual and mobile exploration and authoring.

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Enterprise Data Management Components – Tableau and Microsoft Power BI are comparable on the three core areas of enterprise data management. Both provide above-average self-contained ETL and data storage, and both provide self-service data preparation. Microsoft Power BI’s strength in self service data preparation is evident in how the user experience is designed to guide novice users yet provide power users with the tools they need to complete data presentation tasks quickly. Both Tableau and Microsoft Power BI are evenly matched in the area of metadata management as well.

Features That Support Publishing Findings – Microsoft Power BI’s ability to embed analytics content is superior to Tableau and is used pervasively in business analytics and BI reporting workflows across enterprises. Tableau has more effective features for publishing, sharing and collaborating with visualizations and data analysis completed.

Support For Infrastructure Components – Microsoft Power BI is superior to Tableau when it comes to data source connectivity given Microsoft’s API and Web Service expertise on Azure Cloud and on-premises integration options. Based on conversations with enterprise users, Microsoft’s Power BI Azure instance support is exceptionally fast and also considered better than Tableau’s cloud BI support.

Microsoft’s extensive administration, security and infrastructure support is also exceptional. Only Oracle, SAP, SAS and Domo meet or

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exceed the depth of support Microsoft has on these infrastructure components. Overall, Microsoft Power BI has a more dominant infrastructure platform than Tableau.

Bottom line: Tableau excels at providing a highly interactive, intuitive series of visualization tools and dashboard options that capitalize on the strong base of data connectors the company has created over the last two years. Microsoft’s leadership position on infrastructure components including administration, security, and architecture is understandable given Microsoft Power BI being offered on the Azure Cloud Platform and on-premise.

Comparing QlikView vs Power BI

Qlik continues to invest heavily in intuitive, easy-to use product features and workflows, which is a significant competitive advantage versus Microsoft Power BI. Qlik’s embedded analytics capability is superior to Microsoft Power BI as well. QlikView and Microsoft Power BI are comparable and share many of the same strengths and weaknesses. The following is an analysis of how each compares:

Analysis and Content Creation – Microsoft dominates this area of the comparison with their greatest strengths being interactive visual exploration and mobile exploration and authoring. Microsoft has a commanding lead from a feature perspective in each of these two years. Both Qlik and Microsoft Power BI also support embedded advanced analytics, with Microsoft having delivered proven results

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to enterprises with this feature in use by business analysts globally.

Microsoft Power BI also is more effective at SmartData Recovery when compared with Qlik’s products. Qlik and Microsoft Power BI are evenly matched on support for advanced analytics dashboards.

Enterprise Data Management Components – Qlik dominates the market with its self-contained ETL and data storage capabilities, outdistancing Microsoft on this aspect of data management. Qlik is one of the best vendors providing analytics and BI solutions today with SiSense being the only other vendor at this level of performance.

Qlik and Microsoft are evenly matched on self-service data preparation and embedded advanced analytics. Microsoft has more expertise delivering embedded advanced analytics, but Qlik is gaining momentum in this area due to its focus on usability and delivering greater customer experiences in their products.

Features That Support Publishing Findings – With the goals of providing the best usability possible and excelling at delivering intuitive, easy to use applications, Qlik dominates this area of features. Qlik guides users through how to embed analytic content and according to enterprise users are more intuitive to use compared to Microsoft.

Qlik is also the superior solutions for publishing, sharing and collaborating using content as well. Based on personal 29

experiences using each and from conversations with business analysts at enterprises who have adopted each, it’s clear that Qlik has a commanding lead in this area.

Support For Infrastructure Components – With Microsoft generating a signi/cant amount of revenue from infrastructure and platform platforms, it’s a reasonable assumption that Microsoft Power BI would dominate this highly competitive area of analytics and BI applications. In reality, many competitors have just as good if not better infrastructure applications and tools compared to Microsoft.

Qlik is at a competitive parity with Microsoft in the areas of administration, security, and architecture. Microsoft has a slight lead over Qlik in the area of data source connectivity, and Microsoft leads on the Cloud BI feature set due to its depth of expertise on Microsoft Azure to Power BI support to the platform level.

Bottom line: Microsoft Power BI has greater platform workflow integrations, more advanced platform support for Cloud BI due to its depth of expertise on Azxure, and has an easy to use interface. Due to these three factors, Microsoft Power BI is superior to Qlik. With a core competitive strength in usability and application design, Qlik needs to build out its platform strategy while strengthening its SmartData Discovery and Embedded Advanced Analytics feature sets.

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Advantage Summary

Tableau, QlikView and Power BI are all solid BI tools. Which one is the best fit for your company depends on your analysis needs. If connecting to existing internal databases, data warehouses and other data sources is critical to your operations, you must individually analyze these solutions against those requirements and configurations.

If visualizations are your core focus, Tableau is far and away the best answer. There is a reason the company and product are consistently top-ranked in intelligence visualizations.

QlikView is highly adaptable and provides wide-ranging deep analytics. It also provides integration with Deltek products, so if you use Deltek for time and expense or earned value management (EVM) reporting, QlikView is a natural choice. Overall, QlikView also continues to have one of the industry’s highest customer satisfaction ratings.

Microsoft’s Power BI is inexpensive and plugs in seamlessly with MS Office. It is a solid option if you need quick access to specific analytics or intensive reporting (and have personnel who are skilled in MS-based data queries). Microsoft Power BI is the only one of these three data visualization and analytics apps that have extensive R and big data-related integrations, ensuring this apps’ scalability for larger projects.

Overall, Microsoft Power BI emerges as the most comprehensive solution among these three tools. Microsoft provides integration abilities that are simply unmatched by competitors, resulting in one of the most user-friendly, data-connected business intelligence systems available.

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BI COMPETITIVE REPORT

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Table of Contents · QlikView unifies data sources for a complete view. SelectHub BI Comparison Report 2019 Benefits of Business Intelligence Software performance against individual