This webinar discussed turning business intelligence into actionable insights. It covered how big data and analytics can provide a competitive advantage for retailers. The webinar explored how higher levels of analytics maturity are correlated with greater success in achieving benefits from big data projects. Achieving maturity requires alignment across five key dimensions: intent, people, process, technology, and data. Retailers were encouraged to exploit all available data assets, continuously improve skills and tools, and ensure analytics insights inform management decisions and customer interactions.

1. Turning Business
Intelligence Into
Actionable Insights
#FutureofBI
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2. #FutureofBI
Welcome Webinar Attendees

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About Retail TouchPoints
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Panelists
Dustin Smith
Product Marketing & Community
Manager
Tableau Software
MODERATOR
Greg Girard
Program Director
Omni-Channel Analytics
Strategies
Alicia Fiorletta
Senior Editor
Retail TouchPoints

6. Turning Insights into Actions—
A Big Data and Analytics Perspective
Greg Girard
Program Director
Omni-Channel Retail Analytics Strategy

7. Big data is big, but not all that big a deal
© IDC Retail Insights Visit us at IDC-ri.com 7
After all, what’s data without analytics!

8. Where’s your big data?
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Sales Analysis
$ 5,000,000,000 Total Revenue
$14 $/Transaction
357,142,857 Transactions
20 Attributes/Transaction
7,142,857,143 Transaction Attributes
3 Items/Transactions
10 Attributes/Item
10,714,285,714 Item Transaction Attributes
Marketing Decisions
4,000 Products
10 Promotion Types
20 Channels/Touch Points
20 Customer Segments
16,000,000 Intersections/Promotion Event
52 Events/Year
832,000,000 Intersections/Year
Inside and outside
your enterprise!

9. Growing Evidence for the Power of
Analytics Proficiency
© IDC Visit us at IDC.com and follow us on Twitter: @IDC 9
Fact Finders
Fact Finders
Fumblers
Fumblers
0% 20% 40% 60% 80% 100%
Leaders
Laggards
Percent of Respondents
Leaders vs
Laggards4
New analysis methods
on same type of data
0%
Same analysis methods
on Same type of data
-14%
Same analysis methods
on New type of data
7%
New analysis methods
on New type of data
6%
Sources:
•1. Analytical Orientation and Competitiveness: The Difference Between Fact Finders and Fumblers, IDC #227524
•2. Strength in Numbers: How Does Data-Driven Decision making Affect Firm Performance? MIT Center for Digital Business
•3. IDC and Computerworld 2013 Business Analytics Survey
•4. Take Care of Your Quants: Focusing Data Warehousing Resources on Quantitative Analysts Matters, IDC #227524
Benefits3
 45% of organizations achieve quantifiable
benefits within 6 months
 90% of organizations value of benefits met or
exceeded expectations
Data-driven companies2
5% more productive
6% more profitable

10. © IDC Visit us at IDC.com and follow us on Twitter: @IDC 10
4 V’s of the BDA ECOSYSTEM
BUSINESS PROCESSDATA CREATION
END USERSPRODUCERS
VOLUMEVELOCITYVARIETY
VALUE

11. © IDC Visit us at IDC.com and follow us on Twitter: @IDC 11
IDC BDA ECOSYSTEM
BUSINESS PROCESSINFO PROCESSINGDATA ACQUISITIONDATA CREATION
END USERSANALYSTS / SCIENTISTSARCHITECTS / ENGINEERSPRODUCERS
Shared Nothing
Scale-out Storage + SSD
MPP + In-Memory
Compute
Hadoop
Hi-Speed / -
Resiliency
Networking
Converged
Infrastructure
Cloud
Non-relational
DWH
SYSTEMS INTEGRATION
VOLUMEVELOCITYVARIETY
OBJECTIVES
Stream Processing
Event Management
Data Exploration
Contextualized Data
Modeling / Scenarios
Forecasting
DELIVERY MODELS
Access-Anywhere
Analytics Services
Context-Aware
Business Applications
ON-DEMAND
Location-Based
Services
Alert and
Respond
PUSH
Workflow and
Interaction
Automation
Smart devices
and systems
EMBEDDED
Email and
Messaging
Mobile Apps Data
Transaction and
Usage Logs
Machine and
Sensors
Geolocation
Relationships and
Social Influence
Real-time Events
Deep Insights
VALUE

12. The Quest for Maturity
 Where are we?
 Why climb higher?
 How did they do it?
© IDC Retail Insights Visit us at IDC-ri.com 12
can we

13. While we don’t climb mountains….
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 In a broad societal and economic context retail is at the epicenter of emerging
BDA opportunities.
 Two classes of retailers are emerging, "BDA haves" and "BDA have nots",
immediately making BDA a defining basis of retail competitive advantage.
 Higher BDA maturity improves chances of achieving expected or greater-than-
expected benefits.
 Top 10 distinguishing traits of high achievers span intent, people, process,
technology, and data.

14. Dissecting BDA Maturity: “5 by 5”
Dimensions Levels
Ad Hoc Opportunistic Repeatable Managed Optimized
People
Process
Data
Technology
Intent
© IDC Retail Insights Visit us at IDC-ri.com 14

15. Dissecting BDA Maturity: “5 by 5”
Dimensions Levels
Ad Hoc Opportunistic Repeatable Managed Optimized
People
Experiment,
silos, pilots
Requirements,
off-budget
funding,
inefficient
allocation
Budgets,
documents,
stakeholders
Metrics-
informed
investment,
standards
Continuous
coordination,
process
improvement
Process
Data
Technology
Intent
© IDC Retail Insights Visit us at IDC-ri.com 15

16. Dissecting BDA Maturity: “5 by 5”
Dimensions Levels
Ad Hoc Opportunistic Repeatable Managed Optimized
People Skills, collaboration, org structure, training, culture, leadership
Process Data consolidation, analysis, dissemination, consumption, decision-making
Data Quality, relevance, availability, reliability, governance, security, accessibility
Technology Appropriateness, applicability, integration, standards, performance, architecture
Intent Strategy, budgeting, metrics, sponsorship, program/investment justification
© IDC Retail Insights Visit us at IDC-ri.com 16

17. Some have it, some not so much
© IDC Retail Insights Visit us at IDC-ri.com 17
FIGURE 1
BDA Maturity Distribution: Retail
n = 200
Source: IDC's Big Data and Analytics Maturity Benchmark Survey, 2013

18. BDA Maturity Increases Success Rates
© IDC Retail Insights Visit us at IDC-ri.com 18
n = 200
Source: IDC's Big Data and Analytics Maturity Benchmark Survey, 2013
Definitions
• Highest achievers.
Recent BDA projects met
or exceeded expectations
• Low achievers. Recent
BDA project did not meet
expectations or delivered
no benefits
*Differential =
(Repeatable + Managed + Optimized)Highest Achievers
- (Repeatable + Managed + Optimized)Low Achievers
1st
3rd
5th
2nd
4th
Skew right
Skew left

19. Keep All Five Dimensions Aligned
© IDC Retail Insights Visit us at IDC-ri.com 19

20. Essential Guidance for Retail BDA
 Intent
• Set and Manage BDA Strategy at the Enterprise Level
• Fund and Budget BDA Programs Annually with Flexibility
 Data
• Exploit Enterprise Data Assets
• Introduce New Data Types and Analytic Methods
 Technology
• Ensure Users — Especially Analysts — Are Satisfied with the Tools of Their Trade
• Complement BDA Technology with Mobility
 People
• Complement Skills and Expertise with a Culture of Collaboration
• Apply BDA Insights to Management Decision-Making and Customer Interactions
• Focus on Collaborative Governance and Closed-Loop Management across IT, LOB and
Analytics
 Process
• Start with Information Management, Application Development, and Strategy and Planning
• Finish with Information Consumption — The Last Mile of BDA Success
© IDC Retail Insights Visit us at IDC-ri.com 20

21. Contact Information
© IDC Retail Insights Visit us at IDC-ri.com 21
Greg Girard, Program Director
ggirard@idc.com
@gregorydgirard
www.idc-ri.com
https://idc-insights-community.com/retail

22. Help people see and understand
their data

23. #FutureofBI
Q & A

24. #FutureofBI
Q & A //Panelists
Dustin Smith
Product Marketing & Community
Manager
Tableau Software
MODERATOR
Greg Girard
Program Director
Omni-Channel Analytics
Strategies
Alicia Fiorletta
Senior Editor
Retail TouchPoints

25. #FutureofBI
Thanks for attending!
View and download this presentation at:
http://rtou.ch/future-of-bi