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Webinar presentation on assessing and improving employees analytic capabilities
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Upping Your Analytic IQ Driving Real Time Insights through
Increased Employee Engagement
October 30, 2013 - Webinar
© 2013 SAP AG. All rights reserved. 1
Agenda
1. The Analytics Continuum & Big Data
2. Assessing Employee Analytic IQs
3. Solutions & Services for Improvement
Pat Saporito Sr. Dir., Global COE for Analytics
SAP Labs
Henner Schleibs Sr. Dir, Industry & LOB Analytics
Marketing
SAP Labs
Greta Roberts CEO
Talent Analytics
1990 2013 2000 2005 2010
ANALYTICS
(CIRCA 1980)
PREDICTIVE
ANALYTICS
(CIRCA 1980)
SEMANTICANALYTICS
(CIRCA 1980)
Analytics Trends:
Evolving towards Big Data
REAL TIME IN THE CLOUD
PERSONAL COMPUTER AND CLIENT SERVER
DATABASE
(CIRCA 1980)
WWW MOBILE
SOCIAL
B2B/
B2C
BIG DATA
REAL TIME
1,000,000+ SOLD
3,000,000 people had access to
Internet worldwide
More people have mobile phones than
electricity or safe drinking water
Facebook: 1 billion users; 600 mobile
users; more than 42 million pages and 9
million apps
YouTube: 4 billion views per day
Google+: 400 million registered users
Skype: 250 million monthly connected
users
Big Data Challenges
Staffing
and
skills
Data
Governance
Cost
Uncertainty
on Value of
Big Data
Unsure of the
Technology
Requirements
Connecting people to
information in the moment
they need it and in the
right experience (bridging
the gap)
Nucleus Research, Gartner, Fortune Magazine
Unlocking the value of “Dark Data”
10%
75%
Use Analytics
Today
Need
Analytics
by 2020
Ability to manage and
consume all data is
getting harder
Not utilizing all
the information
out there
Bottom Line: Not leveraging
the power of collective
insight
Missing new
insights
IT is not agile enough
and the business wants
to get involved
=
Analytics need to evolve to deliver Collective Insights
Raw
Data
Cleaned
Data
Standard
Reports
Ad Hoc
Reports
& OLAP
Agile
Visualization
Predictive
Modeling
Optimization
What
happened?
Why did it
happen?
What will
happen?
What is
the best that
could happen?
Us
er
En
ga
ge
me
nt
Maturity of Analytics Capabilities
Self Service BI
Generic
Predictive
Analysis
End-to-end
Easy adoption
Fast
implementation
Business focused
Enable
storytelling
Co
lle
cti
ve
In
sig
ht
What if you could turn
new signals into business value
:-) Brand Sentiment
360O Customer View
Product
Recommendation
Propensity to Churn Real-time Demand/
Supply Forecast
Predictive Maintenance
Fraud Detection
Network Optimization
Insider Threats
Risk Mitigation,
Real-time
Asset Tracking Personalized Care
Can you identify the right
profitable customers to cross
sell?
How quickly are you able to
reconcile and optimize your
financials?
Can you comply with new
finance and risk regulations?
Are you able to manage
risks and prevent fraud?
Are your employees missing new signals?
Personalized Insights
Advanced Planning and Forecasting
Sensing and Responding
Predictive Modeling
Real-time Reporting and Analysis
Connect people
with information
with new insights
anytime,
anywhere in the
right experience
Create an Information Culture
Use information as a strategic
asset in decisions
Build and tell fact-based stories
Maximize performance with
effective use of information
Nurture an Analytic Mindset and
Analytics Democratization
Connecting people
to data
“
”
The stone age was
marked by man's
clever use of crude
tools; the
information age, to
date, has been
marked by man's
crude use of clever
tools.
Anon
© 2013 SAP AG. All rights reserved. 10
Has your BI Strategy been updated for Big Data?
SAP BI Strategy Framework
Objectives Business
Needs
Business
Benefit Technology Organization
Background and
Purpose
Current State and
History
BI Objectives and
Scope
Summary of BI
needs
Envisioned To-Be
State
Priorities and
Alignment
Value Proposition
of BI
Expected Benefits
– Future State KPI
Business Case
Information
Categories
Architecture and
Standards
BI Applications
Governance
Structure
Program
Management
Roadmap and
Milestones
Measurement
Education /
Training
Support
User Engagement and Change Management are
critical success factors. BI Competency Centers
are key to driving adoption and culture shift
© 2013 SAP AG. All rights reserved. 11
Best Practices for Improving Your Analytic IQ
Step 1: Conduct raw talent inventory, compare with industry
benchmarks
Step 2: Define skills needed based on goals
Step 3: Assess where you are and identify gaps
Step 4: Develop a personal development plan
Step 5: Evaluate progress and ongoing development
© 2013 SAP AG. All rights reserved. 12
Agenda
1. Big Data & the Analytics Continuum
2. Assessing Employee Analytic IQ
3. Solutions & Services for Improvement
© 2013 SAP AG. All rights reserved. 13
Why Assess Analytic Talent IQ? Strategic Initiatives Needs the Right Building Blocks to Ensure Success
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 14
Analytic Talent IQ Levels
Functional Level
Individual Level
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 15
Analytics Functions
Analysis Design
Data Acquisition and Collection
Data Preparation
Data Analytics
Data Mining
Visualization
Programming
Interpretation
Presentation
Administration
Managing Other Analysts
©2013 Talent Analytics, Corp
Hours / Week Spent in Analytics Workflow (Functions)
© 2013 SAP AG. All rights reserved. 16
Data Preparation
Data acquisition, preparation, analytics
Programmer
Programming, some analytics
Manager Management, Admin, Presentation, Interpretation, Design
Generalist
Little bit of everything
Analytics Functions “Cluster” “Functional Clusters”
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 17
Time Spent in Analytics Workflow By “Functional Cluster”
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 18
Why Assess an Individual’s Analytic Talent IQ?
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 19
Quantitative Study:
Raw Talent Mindset of Analytics Professionals
• Analytics professionals have definitive mindset
• Easily measured
• Study resulted in an industry benchmark to measure analytics IQ of
employees and candidates
• Available for businesses to compare their analytical
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 20
Standardized, Individual Raw Talent Measures
MEASURE SCORE 1 - 100
Approach
to:
Problem Solving Collaborative Independent
Working with people Task People
Project Pacing No Process Process
Protocol & Details Low Detail High Detail
Deep Desire
for:
Achieving Goals
Helping Others
Intellectually Curious
Discipline and Rigor
Advancing & Competing
Creative Assignments
Unique Projects
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 21
MEASURE SCORE 1 - 100
Approach
to:
Problem Solving Collaborative Independent
Working with people Task People
Project Pacing No Process Process
Protocol & Details Low Detail High Detail
Deep Desire
for:
Achieving Goals
Helping Others
Intellectually Curious
Discipline and Rigor
Advancing & Competing
Creative Assignments
Unique Projects
Standardized, Individual Raw Talent Measures
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 22
All Clusters are “Intellectually Curious”
Level of Intellectual CURIOSITY (The further right, the more Curious.)
All Clusters Skew High. Clearly Curiosity is a
“must” regardless of function in analytics role
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 23
All Clusters are “Creative”
Level of CREATIVITY (The further right, the more Creative.)
Creativity Skews High
in all Clusters
©2013 Talent Analytics, Corp
© 2013 SAP AG. All rights reserved. 24
©2013 Talent Analytics, Corp
How does your talent compare to the industry benchmark?
© 2013 SAP AG. All rights reserved. 25
©2013 Talent Analytics, Corp
What is worth to ID the best talent for your analytics strategy?
© 2013 SAP AG. All rights reserved. 26
Agenda
1. Big Data & the Analytics Continuum
2. Assessing Employee Analytic IQs
3. Solutions & Services for Improvement
Analytics solutions from SAP
Agile
Visualization
Advanced
Analytics
Big Data
Mobile
Collaboration
Cloud
Enterprise
Business Intelligence
© 2013 SAP AG. All rights reserved. 28
Infuse insights into Processes, People & Things
Customers Partners
Employees Processes
BIG DATA APPS &
ANALYTICS
Agile
Visualization
Advanced
Analytics
Enterprise
Business Intelligence
© 2013 SAP AG. All rights reserved. 29
How SAP & Talent Analytics Can Help
Vision
• Vision Workshop
• Innovation Day
• Co-Innovation
Operationalize
• Design Thinking
Workshop
• BI Strategy
Assessment
• Strategic Analytic
Services
• Use quantitative
approach to hire
analytic talent
Pilot
• Pilot Focused
Innovation Workshop
• Pilot Planning &
Roadmap
• SAP Platform &
Analytic Solutions
• Employee Analytic IQ
Customer Study
Education – Technologies – Services – Industry Expertise
© 2013 SAP AG. All rights reserved. 30
Additional Information
© 2013 SAP AG. All rights reserved. 31
Questions?
Learn More about SAP
Call: 1 (888) 817-2292
Visit: www.sap.com/bigdata
Learn More about Talent Analytics
Call: 1 (617) 864-7474
Visit: www.talentanalytics.com
Learn More about Int’l. Institute for Analytics
Visit: www.iianalytics.com
Thank You!
Pat Saporito Global COE for Analytics CoE
SAP Labs
(201) 681-9671
Twitter: patsaporito
Henner Schleibs Industry & LOB Analytics Marketing
SAP Labs
@hschliebs
Twitter: @hschleibs
Greta Roberts CEO
Talent Analytics
(617) 864-7474
Twitter: @gretaroberts