Learn about the latest market trends and technology innovations in supply chain from Lora Cecere, CEO and founder, Supply Chain Insights, and glean lessons learned and key takeaways from practitioner Elliott Wolf, director of analytics at Lineage Logistics.

1. 1© Cloudera, Inc. All rights reserved.
Rethinking Supply Chain
Analytics
March 2016

2. 2© Cloudera, Inc. All rights reserved.
Speakers
Lora Cecere
CEO and Founder –
Supply Chain
Insights
Elliott Wolf
Director, Analytics–
Lineage Logistics
Dave Shuman
Industry Leader,
Retail &
Manufacturing–
Cloudera

3. 3© Cloudera, Inc. All rights reserved.
Agenda
• Redefining the supply chain opportunity – industry prespective
• Lineage Logistics – analytics to warehouse design
• How Cloudera helps redefine supply chain analytics
• Q&A

4. Redefining the Supply
Chain Opportunity

5. Supply Chain Insights LLC Copyright © 2016, p. 5
The Supply Chain Gap

6. Supply Chain Insights LLC Copyright © 2016, p. 6
Who Has a Supply Chain That Is Working Well?

7. Supply Chain Insights LLC Copyright © 2016, p. 7
Evolution of Analytics

8. Supply Chain Insights LLC Copyright © 2016, p. 8
Technology Evolution
ERP
SRM
APS
PLM
CRM
Operational Investments Workforce ProductivityAnalytics

9. Supply Chain Insights LLC Copyright © 2016, p. 9
Big Data Supply Chains are Evolving
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

10. Supply Chain Insights LLC Copyright © 2016, p. 10
Data Types

11. Supply Chain Insights LLC Copyright © 2016, p. 11
Confluence of Technologies

12. Supply Chain Insights LLC Copyright © 2016, p. 12
Recommendations
• We must learn from the
past to unlearn, and then
rethink supply chain
processes.
• The starting point is
rewiring our brains. Only
2% of Supply Chain
Leaders are Testing
Hadoop.
• The opportunity is with data
variety and velocity.

13. 13© Cloudera, Inc. All rights reserved.
Analytics for Warehouse Design
Elliott Wolf | Director of Analytics, Lineage Logistics

14. 14© Cloudera, Inc. All rights reserved.

15. 15© Cloudera, Inc. All rights reserved.

16. 16© Cloudera, Inc. All rights reserved.

17. 17© Cloudera, Inc. All rights reserved.

18. 18© Cloudera, Inc. All rights reserved.

19. 19© Cloudera, Inc. All rights reserved.

20. 20© Cloudera, Inc. All rights reserved.

21. 21© Cloudera, Inc. All rights reserved.

22. 22© Cloudera, Inc. All rights reserved.

23. 23© Cloudera, Inc. All rights reserved.

24. 24© Cloudera, Inc. All rights reserved.

25. 25© Cloudera, Inc. All rights reserved.

26. 26© Cloudera, Inc. All rights reserved.

27. 27© Cloudera, Inc. All rights reserved.

28. 28© Cloudera, Inc. All rights reserved.

29. 29© Cloudera, Inc. All rights reserved.
Distribution of Rich Products' Inventory
>24 in 36 in 50 in 56 in 60 in 64 in 68 in 72 in 78 in 86 in 92 in 97 in
0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 1 10 0 0 0 0 0 0 0 0 0 1 10 0 0 0 0 0 0 0 0 0 1 10 0 0 0 0 0 0 0 0 0 1 10 0 0 0 0 0 0 0 0 0 1 10 0 0 0 0 0 0 0 0 0 1 10 0 0 0 0 0 0 0 0 1 1 10 0 0 0 0 0 0 0 0 1 1 10 0 0 0 0 0 0 0 0 1 1 10 0 0 0 0 0 0 0 0 1 1 10 0 0 0 0 0 0 0 0 1 1 10 0 0 0 0 0 0 0 0 1 1 10 0 0 0 0 0 0 0 0 1 1 10 0 0 0 0 0 0 0 0 1 1 10 0 0 0 0 0 0 0 1 1 1 10 0 0 0 0 0 0 0 1 1 1 10 0 0 0 0 0 0 0 1 1 1 10 0 0 0 0 0 0 0 1 1 1 10 0 0 0 0 0 0 0 1 1 1 10 0 0 0 0 0 0 0 1 1 1 10 0 0 0 0 0 0 1 1 1 1 10 0 0 0 0 0 0 1 1 1 1 10 0 0 0 0 0 0 1 1 1 1 10 0 0 0 0 0 0 1 1 1 1 10 0 0 0 0 0 1 1 1 1 1 10 0 0 0 0 0 1 1 1 1 1 10 0 0 0 0 0 1 1 1 1 1 10 0 0 0 0 0 1 1 1 1 1 10 0 0 0 0 1 1 1 1 1 1 10 0 0 0 0 1 1 1 1 1 1 10 0 0 0 0 1 1 1 1 1 1 10 0 0 0 0 1 1 1 1 1 1 10 0 0 0 1 1 1 1 1 1 1 10 0 0 0 1 1 1 1 1 1 1 10 0 0 0 1 1 1 1 1 1 1 10 0 0 0 1 1 1 1 1 1 1 10 0 0 1 1 1 1 1 1 1 1 10 0 0 1 1 1 1 1 1 1 1 10 0 0 1 1 1 1 1 1 1 1 10 0 0 1 1 1 1 1 1 1 1 10 0 0 1 1 1 1 1 1 1 1 10 0 0 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 0 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 10 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 1
260x 163x 289x 897x 1,285x 838x 777x 1,328x 1,068x 1,887x 1,426x 414x
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
24 36 50 56 60 64 68 72 78 86 92 97

30. 30© Cloudera, Inc. All rights reserved.
Stable?

31. 31© Cloudera, Inc. All rights reserved.
Bin-Packing
for solving bin packing and cut t ing st ock prob-
lems including mult i-const raint var iant s.
I I. Bin Packing/ Cut t ing St ock
x2
x4
x5
x3
Objective: Pack a set of items into as few bins as possible
Items SolutionBins
I I I. p-dimensional V ect or packing
I B in packing wit h mult iple const raint s
I Pack n items of m di↵erent types, represented by p-
sible cutting patterns j . The element aj
i represe
number of items of type i in pattern j . Let xj be
sion variable for the number of times pattern j
min
X
j 2 J
xj
s.t.
X
j 2 J
aj
i xj ≥ bi , i = 1..m,
xj ≥ 0, integer, 8j 2 J,
where J is the set of valid cutting patterns that
mX
i = 1
aj
i wk
i Wk
, k = 1..p, aj
i 2 N0.
⌅ Very flexible
⌅ St rong linear relaxat ion
⌅ Exponent ial number of variables
V I. Val ´er io de Car val ho’s mo
Consider decision variables xi j corresponding
number of items of size j − i placed in any
a distance of i units from the beginning of t
0 1 2 3 4 5x01 x12 x23 x34 x45
x02 x13 x24 x35 x
x03 x14 x25 x36
x05 x16
One-dimensional packing problems can be solv
• GMA pallet is 40”x48”, so we’re
packing in 1 dimension
• Each rack (from floor-to-ceiling)
is a “bin”
• Packing into as few “bins” as
possible minimizes the floor area
necessary to store the product

32. 32© Cloudera, Inc. All rights reserved.
84x 124x 84x 248x 40x 40x 292x 248x 420x 52x
A B C D E F G H I J
5 high 6 high 6 high 6 high 5 high 5 high 5 high 5 high 5 high 5 high
8.9% 11.0% 10.7% 10.7% 9.7% 8.9% 9.8% 9.2% 9.2% 8.9%# 2 2 2 2 2 2 2 2 2 2 2 2# 2 2 2 2 2 2 2 2 2 2 2 2# 2 2 2 2 2 2 2 2 2 2 2 2# 2 2 2 2 2 2 2 2 2 2 2 2# 2 2 2 2 2 2 2 2 2 2 2 2# 2 2 2 2 2 2 2 2 2 2 2 2# 2 2 2 2 2 2 2 2 2 2 2 2# 2 2 2 2 2 2 2 2 2 2 2 2# 3 2 2 3 2 3 2 3 2 3# 3 2 3 3 2 3 2 3 3 3# 3 3 3 3 2 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 1 1 3 3 3 3 1 3 3# 3 1 1 1 1 3 1 1 3 3# 3 1 1 1 1 3 1 1 1 3# 3 1 1 1 1 3 1 1 1 3# 3 1 1 1 1 3 1 1 1 3# 3 2 2 1 1 3 1 2 1 3# 1 2 2 1 1 3 1 2 1 3# 1 2 2 2 2 3 2 2 2 3# 1 2 2 2 2 3 2 2 2 3# 1 2 2 2 2 3 2 2 2 3# 1 2 2 2 2 3 2 2 2 3# 2 2 2 2 2 1 2 2 2 3# 2 3 3 2 2 1 2 3 2 3# 2 3 3 2 2 1 2 3 2 3# 2 3 3 3 3 1 3 3 3 3# 2 3 3 3 3 1 3 3 3 3# 2 3 3 3 3 1 3 3 3 3# 2 3 3 3 3 2 3 3 3 3# 3 3 3 3 3 2 3 3 3 3# 3 3 3 3 3 2 3 3 3 3# 3 3 3 3 3 2 3 3 3 3# 3 3 3 3 3 2 3 3 3 1# 3 3 3 3 3 2 3 3 3 1# 3 3 3 3 3 2 3 3 3 1# 3 3 3 3 3 3 3 3 3 1# 3 3 3 3 3 3 3 3 3 1# 3 3 3 3 3 3 3 3 3 1# 3 3 3 3 3 3 3 3 3 2# 3 3 3 3 3 3 3 3 3 2# 3 3 3 3 3 3 3 3 3 2# 3 3 3 3 3 3 3 3 3 2# 3 3 3 3 3 3 3 3 3 2# 3 3 3 3 3 3 3 3 3 2# 3 3 3 3 3 3 3 3 3 2# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 1 3 3 3 3 3 3 3 3 3# 1 1 3 3 3 3 3 3 3 3# 1 1 3 3 3 3 3 3 3 3# 1 1 3 3 3 3 3 3 3 3# 1 1 3 3 3 3 3 3 3 3# 3 1 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 3 1 3 1 3 3 3 3 3# 3 3 1 3 1 3 3 3 3 3# 3 3 1 3 1 3 3 3 3 3# 3 3 1 3 1 3 3 3 3 3# 3 3 2 3 1 3 3 3 3 3# 3 3 2 3 1 3 3 3 3 3# 3 3 2 1 2 3 3 3 3 3# 3 3 2 1 2 3 3 3 3 3# 3 3 2 1 2 3 3 3 3 3# 3 3 2 1 2 3 3 3 3 3# 1 3 2 1 2 1 1 3 3 3# 1 3 3 1 2 1 1 3 3 3# 1 3 3 2 2 1 1 3 3 3# 1 3 3 2 3 1 1 3 3 3# 1 3 3 2 3 1 1 1 3 3# 1 3 3 2 3 1 1 1 3 3# 2 3 3 2 3 2 2 1 3 3# 2 3 3 2 3 2 2 1 3 3# 2 3 3 2 3 2 2 1 3 3# 2 3 3 3 3 2 2 1 3 3# 2 3 3 3 3 2 2 2 3 3# 2 3 3 3 3 2 2 2 3 3# 2 3 3 3 3 2 2 2 1 3# 3 3 3 3 3 3 3 2 1 3# 3 3 3 3 3 3 3 2 1 3# 3 3 3 3 3 3 3 2 1 3# 3 3 3 3 3 3 3 2 1 3# 3 3 3 3 3 3 3 3 1 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 1 3 3 3 3 3 3 3 3# 3 1 3 3 3 3 3 3 3 3# 3 1 3 3 3 3 3 3 3 3# 3 1 3 3 3 3 3 3 3 3# 3 1 1 3 3 3 3 3 3 3# 3 1 1 3 3 3 3 3 3 3# 3 2 1 3 3 3 3 3 3 3# 3 2 1 3 3 3 3 3 3 3# 3 2 1 3 3 3 3 3 3 3# 3 2 1 3 3 3 3 3 3 3# 3 2 2 3 3 3 3 3 3 3# 3 2 2 3 3 3 3 3 3 3# 3 2 2 3 3 3 3 3 3 3# 3 3 2 3 3 3 3 3 3 3# 3 3 2 3 3 3 3 3 3 1# 3 3 2 3 3 3 3 3 3 1# 3 3 2 3 3 3 3 3 3 1# 3 3 3 3 3 3 3 3 3 1# 3 3 3 1 3 3 3 3 3 1# 3 3 3 1 3 3 3 3 3 1# 3 3 3 1 3 3 3 3 3 2# 3 3 3 1 3 3 3 3 3 2# 3 3 3 1 3 3 3 3 3 2# 3 3 3 1 3 1 3 3 3 2# 3 3 3 2 3 1 3 3 3 2# 3 3 3 2 3 1 3 3 3 2# 3 3 3 2 3 1 3 3 3 2# 3 3 3 2 3 1 3 3 3 3# 3 3 3 2 1 2 3 3 3 3# 3 3 3 2 1 2 3 3 3 3# 3 3 3 2 1 2 3 3 3 3# 3 3 3 3 1 2 3 3 3 3# 3 3 3 3 1 2 3 3 3 3# 3 3 3 3 1 2 3 3 3 3# 3 3 3 3 2 2 3 3 3 3# 3 3 3 3 2 3 3 3 3 3# 3 3 3 3 2 3 3 3 3 3# 3 3 3 3 2 3 3 1 3 3# 1 3 3 3 2 3 1 1 3 3# 1 3 3 3 2 3 1 1 3 3# 1 3 3 3 2 3 1 1 3 3# 1 3 3 3 3 3 1 1 3 3# 1 3 3 3 3 3 1 2 3 3# 1 1 3 3 3 3 1 2 3 3# 2 1 3 3 3 3 2 2 3 3# 2 1 3 3 3 3 2 2 3 3# 2 1 3 3 3 3 2 2 3 3# 2 1 3 3 3 3 2 2 3 3# 2 3 3 3 3 3 2 2 3 3# 2 3 3 3 3 3 2 3 3 3# 2 3 3 3 3 3 2 3 1 3# 3 3 3 3 3 3 3 3 1 3# 3 3 3 3 3 3 3 3 1 3# 3 3 3 3 3 3 3 3 1 3# 3 3 3 3 3 3 3 3 1 3# 3 3 3 3 3 3 3 3 1 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 2 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 3 1 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 2 2 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 3 3 3 3 3 3 3# 3 2 3 1 3 3 3 3 3 3# 3 3 3 1 3 3 3 3 3 3# 3 3 3 1 3 3 3 3 3 3# 3 3 3 1 3 3 3 3 3 3# 3 3 3 1 3 3 3 3 3 3# 3 3 3 1 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 1 3 3 3 3 3 3 3 3 1# 1 3 3 3 3 3 3 3 3 1# 1 3 3 3 3 3 3 3 3 1# 1 3 3 3 3 3 3 3 3 1# 1 3 3 3 1 1 3 3 3 1# 1 3 3 3 1 1 3 3 3 1# 2 3 3 3 1 1 3 3 3 2# 2 3 3 3 1 1 3 3 3 2# 2 3 3 3 1 1 3 3 3 2# 2 3 3 3 1 1 3 3 3 2# 2 3 3 3 2 2 3 1 3 2# 2 3 3 3 2 2 3 1 3 2# 2 3 3 3 2 2 1 1 3 2# 3 3 3 3 2 2 1 1 3 3# 3 3 3 3 2 2 1 1 3 3# 3 3 3 3 2 2 1 1 3 3# 3 3 3 3 2 2 1 2 3 3# 3 3 3 3 3 3 1 2 3 3# 3 3 3 3 3 3 2 2 1 3# 3 3 3 3 3 3 2 2 1 3# 3 3 3 3 3 3 2 2 1 3# 3 3 3 3 3 3 2 2 1 3# 3 3 3 3 3 3 2 2 1 3# 3 3 3 3 3 3 2 3 1 3# 3 3 1 3 3 3 2 3 2 3# 3 3 1 3 3 3 3 3 2 3# 3 3 1 3 3 3 3 3 2 3# 3 3 1 3 3 3 3 3 2 3# 3 3 1 3 3 3 3 3 2 3# 3 3 1 3 3 3 3 3 2 3# 3 1 2 3 3 3 3 3 2 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 1 2 3 3 3 3 3 3 3# 3 2 2 1 3 3 3 3 3 3# 3 2 3 1 3 3 3 3 3 3# 3 2 3 1 3 3 3 3 3 3# 3 2 3 1 3 3 3 3 3 3# 3 2 3 1 3 3 3 3 3 3# 3 2 3 1 3 3 3 3 3 3# 3 2 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 2 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 3 3 3 3 3 3 3 3 3 3# 1 1 1 1 1 1 1 1 1 1# 1 1 1 1 1 1 1 1 1 1# 1 1 1 1 1 1 1 1 1 1# 1 1 1 1 1 1 1 1 1 1# 1 1 1 1 1 1 1 1 1 1# 1 1 1 1 1 1 1 1 1 19 2 2 2 2 2 2 2 2 2 2 28 2 2 2 2 2 2 2 2 2 2 2

33. 33© Cloudera, Inc. All rights reserved.

34. 34© Cloudera, Inc. All rights reserved.

35. 35© Cloudera, Inc. All rights reserved.35

36. 36© Cloudera, Inc. All rights reserved.
Under Construction

37. 37© Cloudera, Inc. All rights reserved.Before

38. 38© Cloudera, Inc. All rights reserved.
After

39. 39© Cloudera, Inc. All rights reserved.
Pallet Positions 10,739 14,156
Increase 1,080 1,961 376 3,417
Density Increase 10.1% 18.3% 3.5% 31.8%
Cost $861,000 $145,000 $0 $1,006,000
Savings v. New $759,000 $2,796,500 $564,000 $4,119,500
10,739
- - -
14,156
-
1,080
1,961 376
-
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
10,000
11,000
12,000
13,000
14,000
15,000
Original Conv. 3-Deep Bin-Packing Double Stacking Final
Pallet Pallet Posi on Increases

40. 40© Cloudera, Inc. All rights reserved.
How Cloudera helps Redefine
Supply Chain Analytics

41. 41© Cloudera, Inc. All rights reserved.
Supply chain
processes are evolving
from inside-out to
outside-in with a
focus on sensing and
adaption

42. 42© Cloudera, Inc. All rights reserved.
The ground has shifted, from “Storage + Compute” to:
Merging real-time &
archived data
Structured with
unstructured
External and internal
sources
Data stays where it’s born
Not all can be in the cloud
Partnerships with Amazon,
Microsoft & Google
Native Encryption
Access Control
Data Governance
Regulatory Compliance
Advanced Analytics Hybrid Cloud Data SecurityMulti-Workload
Batch Computation
Interactive SQL
Machine Learning
Stream Processing
Search
In-memory

43. 43© Cloudera, Inc. All rights reserved.
Supply Chain Enterprise Data Hub
Keep all the data, whether its
people generated, machine
generated or external.
Statistical and machine learning
analyses using advanced
analytic tools on all the data.
Access to all the data from the
enterprise and manufacturing at
your fingertips, consolidate
silos, and enable self-service.
Keep all the data Advanced Analytics on the data Leverage all the data

44. 44© Cloudera, Inc. All rights reserved.
Where Is the Manufacturing Data?
Mapping and Consolidation Are the Tip of the Iceberg for Big Data
Devices &
Sensors
• aRFID / pRFID / sensors
• Software Logs
• Environmental
Interactions
• Vehicle Telemetry
• R&D
• Quality / Testing
Plant &
Operations
• MES
• Sensors
• Video / Surveillance
• Line Productivity
• Machines
• Staffing / Scheduling
• Quality data
• Forecasting Models
• Reparable Inventory /
Schedule
Supply Chain &
Inventory
• ERP
• Supplier / Manufacturer
• Orders / Receivables
• Commodity Supplies /
Prices
• Chargebacks
• Scorecards
• Delivery Metrics
• Forecasting Models
• Stock Transfer Orders
• Manifests
Marketing
& CRM
• Transactions
• Accounts
• Warranties /
Aftermarket
• Customer Service Logs
• Campaigns /
Promotions
• Website / SEO
• Affiliates / Merchants
• Surveys
• Competitive
Intelligence
Public & Trade
• Market Intelligence
• Policy / Regulation
• Demographic / Census
• Psychographic
• Inflation / Macroeconomic
• Gas Prices
• Labor Statistics
• Social / Search
• Public Health Data
• Clinical Studies
• Store Schematics
• Journals / Editorial
• Seismic / Speculation

45. 45© Cloudera, Inc. All rights reserved.
The IoT Ecosystem
Consumer
Industrial
IoT Gateway
Data Center
Data Analytics
Sensors/ Things
Data Characteristics
• Un-structured
• Intermittent
• Volume & Variety
Gateway
• Data Routing
• Edge-Processing
• Edge-Storage
Sensors/ Things
•To grow by 50X
•Drop in prices by
70% in last 5 years
Data Storage, Processing & Analytics
IOT Data Characteristics
• More processing in the
cloud
• Analytics on the cloud
IOT Data Analytics
• Key to Value Creation
• Combine data from multiple
sources & types
• Drive business insights
IOT Data Characteristics
• Distributed Data
Processing
• Cloud & On-Premise
Cloud

46. 46© Cloudera, Inc. All rights reserved.
OPERATIONS
DATA
MANAGEMENT
BATCH REAL-TIME
PROCESS, ANALYZE, SERVE
UNIFIED SERVICES
RESOURCE MANAGEMENT SECURITY
FILESYSTEM RELATIONAL NoSQL
STORE
INTEGRATE
BATCH STREAM SQL SEARCH SDK
Cloudera Enterprise
Making Hadoop Fast, Easy, and Secure
Hadoop is a new kind
of data platform.
• One place for unlimited data
• Unified data access
Cloudera makes it:
• Fast for business
• Easy to manage
• Secure without compromise

47. 47© Cloudera, Inc. All rights reserved.
Adopt an Agile Approach
Successful projects start small, fail often
and iterate to success
Get Data
Explore
and Analyze
Deploy
1. Get data you already have, or
create new data.
2. Explore and analyze, quickly.
3. Deploy your application.
…and repeat. Add:
More data, more users, more use cases,
more complex analytics; go real-time!

48. 48© Cloudera, Inc. All rights reserved.
Getting Started is Easy
① ②
Download or Deploy
in the Cloud
Signup for Training Contact us or a Partner
to Start a POC
③

49. 49© Cloudera, Inc. All rights reserved.
Questions?

50. 50© Cloudera, Inc. All rights reserved.
Thank you

51. 51© Cloudera, Inc. All rights reserved.
About Lora Cecere
• Founder of Supply Chain Insights
• “LinkedIn Influencer”
• Guest blog for Forbes
• Author of 4 books: Bricks Matter (2012), Shaman’s Journal (2014),
Supply Chain Metrics That Matter (2014), Shaman’s Journal (2015)
• 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 (15,000 pageviews/month)
• Forbes: www.forbes.com/sites/loracecere
• Twitter: twitter.com/lcecere (6,800 followers)
• LinkedIn: www.linkedin.com/in/loracecere (66,724 followers)
• LinkedIn Influencer: www.linkedin.com/today/author/446631