We don't have a big data problem. We have a big data opportunity. Our challenge is to change our mental models to embrace clouds, streams and lakes. Today, we are too encased in the world of relational database models and inside-out processes. Here I share my research on Big Data in Supply Chain and encourage the audience to participate in our 2014 study on the adoption of Big Data in Supply Chain.

1. TM
The Big Data Opportunity

2. Supply Chain Insights LLC Copyright © 2013, p. 2
Supply Chains Don’t Play by the Rules
2
But,
what if
they
could?

3. Supply Chain Insights LLC Copyright © 2013, p. 3
Could the Answer Lie in….
Clouds?
Streams?
Lakes?

4. Supply Chain Insights LLC Copyright © 2013, p. 4
Big Data Supply Chains are Evolving
4
Challenges:
• Transactional
• Time phased data
Structured
Data
• Social
• Channel
• Customer Service
• Warranty
• Temperature
• RFID
• QR codes
• GPS
• Mapping and GPS
• Video
• Voice
• Digital Images
Unstructured
Data
Sensor
Data
New
Data
Types
Volume
Velocity
Variability

5. Supply Chain Insights LLC Copyright © 2013, p. 5
Connecting the Extended Supply Chain
5
Trading Partner 1 Trading Partner 2 Trading Partner 3
Transactional
Applications
Transactional
Applications
Transactional
Applications

6. Supply Chain Insights LLC Copyright © 2013, p. 6
Evolving Supply Chain Architectures
6
Collaborative
Layer
Collaborative
Layer
Collaborative
Layer
Enterprise Data
Warehouse
Enterprise Data
Warehouse
Supplier Signal
Repository
Demand Signal
Repository
Predictive Analytics
Key:
Transactional Adapters
and Intelligent Rule Sets
Trading Partner 1 Trading Partner 2 Trading Partner 3
Transactional
Applications
Transactional
Applications
Transactional
Applications
Enterprise Data
Warehouse

7. Supply Chain Insights LLC Copyright © 2013, p. 7
Rethinking Analytics
Descriptive
Connect with reality, a single source of
the truth
Predictive
Understand the most likely future
scenario, and the business implications
Prescriptive
Recommendation of the best
alternative
Cognitive
Highly automated optimization
solutions that get smarter over time
What happened?
What will Happen?
What should we do about it?
Learning Systems

8. Supply Chain Insights LLC Copyright © 2013, p. 8
Thinking Harder about the Problem
EngineInputs Outputs
• Deterministic Optimization
• Stochastic Optimization
• Simulation
• Cognitive Learning Engines
Depth of
Analysis
Scope
• Single function within the enterprise
• Multiple functions within the enterprise
• Connection of trading partners on single functions
• Connection of trading partners on multiple functions (make,
source, and deliver)
• Single signals (single numbers)
• Time-phased outputs
• Multiple signals with time-phased outputs
• Patterns and probabilities
• Single signals (single numbers)
• Time-phased inputs
• Multiple signals with time-phased inputs
• Patterns and probabilities
The Data
Model of the
Engine

9. Supply Chain Insights LLC Copyright © 2013, p. 9
Agenda

10. Supply Chain Insights LLC Copyright © 2013, p. 10
Study Overview

11. Supply Chain Insights LLC Copyright © 2013, p. 11
Respondents Work at Companies with an
Average of 20K Employees and $4B Revenue

12. Supply Chain Insights LLC Copyright © 2013, p. 12
13% of Respondents Lead the Big Data Initiative;
7% Lead the Master Data Management Program

13. Supply Chain Insights LLC Copyright © 2013, p. 13
Agenda

14. Supply Chain Insights LLC Copyright © 2013, p. 14
Business Pain

15. Supply Chain Insights LLC Copyright © 2013, p. 15
Data Sources

16. Supply Chain Insights LLC Copyright © 2013, p. 16
The Diffences

17. Supply Chain Insights LLC Copyright © 2013, p. 17
15% Already Have a Database
That Equals a Petabyte

18. Supply Chain Insights LLC Copyright © 2013, p. 18
18% Have a ERP Live Instance That Is 6+ Terabytes;
16% Have 11+ Unique IT Systems

19. Supply Chain Insights LLC Copyright © 2013, p. 19
Agenda

20. Supply Chain Insights LLC Copyright © 2013, p. 20
Three-Quarters See Big Data as an
OPPORTUNITY

21. Supply Chain Insights LLC Copyright © 2013, p. 21
Over One-Quarter Have a Big Data Initiative
and Over One-Third Plan to Have One

22. Supply Chain Insights LLC Copyright © 2013, p. 22
Agenda

23. Supply Chain Insights LLC Copyright © 2013, p. 23
One-third Already Have a MDM Program,
with Nearly as Many Planning to Have One

24. Supply Chain Insights LLC Copyright © 2013, p. 24
Over Half Believe That Big Data Makes
Master Data Management EASIER

25. Supply Chain Insights LLC Copyright © 2013, p. 25
Big data offers new opportunities to solve
problems, but we must first challenge our
traditional paradigms.
Summary

26. Supply Chain Insights LLC Copyright © 2013, p. 26
Could the Answer Lie in….
Clouds?
Streams?
Lakes?

27. Supply Chain Insights LLC Copyright © 2013, p. 27
You Help Us. We Help You.

28. Supply Chain Insights LLC Copyright © 2013, p. 28

29. Supply Chain Insights LLC Copyright © 2013, p. 29
What’s Happening at Supply Chain Insights
www.supplychaininsights.com

30. Supply Chain Insights LLC Copyright © 2013, p. 30
About Lora Cecere
• Founder of Supply Chain Insights
• Invited to be a “LinkedIn Influencer”
• Invited to write a guest blog for Forbes
• Author of 2 books: Bricks Matter (2012) and
Metrics That Matter (to publish Fall of 2014)
• Partner at Altimeter Group (leader in open research)
• 7 years of Management Experience leading Analyst Teams at Gartner and
AMR Research
• 8 years Experience in Marketing and Selling Supply Chain Software at
Descartes Systems Group and Manugistics (now JDA)
• 15 Years Leading teams in Manufacturing and Distribution operations for
Clorox, Kraft/General Foods, Nestle/Dreyers Grand Ice Cream and
Procter & Gamble.
Contact Information:
• Email: lora.cecere@supplychaininsights.com
• Blog: www.supplychainshaman.com (6000 pageviews/month)
• Forbes: http://www.forbes.com/search/?q=lora+cecere
• Twitter: lcecere (4800 followers)
• LinkedIn: linkedin.com/pub/lora-cecere/0/196/573 (7000 in the
network)
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