General Motors (GM) is in the process of constructing a single global information warehouse that will become the foundation for all business analytics and decision support across the enterprise.

1. DATA WAREHOUSE MODERNIZATION PROGRAMME
TOBY WOOLFE
BIG DATA SOLUTIONS LEADER IBM

2. © 2014 IBM Corporation
Case studies from around the world
help explain what is working in the
world of Hadoop, real time analytics
and internet connected devices.
IBM delivers a significant data
warehouse modernization programme
to General Motors
Toby Woolfe, Big Data Industrial
and Automotive Solutions
Leader, IBM Europe
Toby.woolfe@uk.ibm.com +44 7795 328 742

3. A New Era of Smart
We are on the precipice of awareness of, and adoption of, internet
connected devices far beyond the Smartphone...
Devices: 145 actuators, 70 on-board
computers, 4700 relays
and 70 sensors, including radar,
sonar, accelerometer,
camera, rain sensors.
433MB per minute
1 car year = 1TB
Plus existing enterprise data,
social media data, 3rd party
suppliers,...etc
2 © 2014 IBM Corporation

4. A New Era of Smart
But how fast does information currently get delivered?
Monthly
reporting?
Based originally on the
lunar cycle, the Julian
Calendar was
introduced by Julius
Caesar in 46BC
Quarterly reporting?
Celebrated by Druids for centuries, the
four seasons result from the yearly
revolution of the earth around the sun
and the tilt of the earth’s axis relative
to the plane of revolution.
Annual
reporting?
In temperate and
polar regions, the
seasons are marked
by changes in the
intensity of sunlight
that reaches the
Earth's surface,
variations of which
may cause animals to
go into hibernation or
to migrate, and plants
to be dormant
Weekly
reporting?
Recorded in
Babylonian
carvings dated 6th
century, the origin
of the 7 day week
was probably
based on a quarter
of the lunar cycle
(though inaccurate)
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© 2014 IBM Corporation

5. A New Era of Smart
“GM Opens New Data Center Modeled on Google,
Facebook”
CIO Randy Mott launched a new $130
million data center
Chief Executive Dan Akerson said ”If
we are going to win, we must turn IT
into a competitive advantage and not
treat it as something that is just a
utility,”
The IT Operations and Command
Center in the $130-million Enterprise
Data Center at the General Motors
Technical Center in Warren, Michigan.
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© 2014 IBM Corporation

6. A New Era of Smart
GM’s people, process and technology evolution
 GM has hired about 1,500 software developers and engineers, up from “close to
zero” just one year ago, according to Tim Cox, CIO of GM global development
services
 About 70% of the 10,000 IT staff will be focused on innovation
 Until recently, GM was using 23 different data centers. Now the company is moving
to two
 The site in Warren has the capacity to hold more than 10,000 ‘pizza box’ size
servers, as well as smaller-size servers and larger mainframes
 The data warehouse incorporates both the cutting edge IBM BigInsights for Hadoop
technology as well as more traditional Massively Parallel Processing technologies
historically used for data warehousing
Source/thanks to
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© 2014 IBM Corporation

7. A New Era of Smart
General Motors wiki
Business profile
 Global vehicle sales leader for 77 consecutive years from 1931 – 2007
 212,000 staff in 157 countries
Business problem
 GM has issued 45 recalls in 2014 involving 28 million cars worldwide
 The cost of one recall due to faulty ignition switches, which has been linked to at least 13
deaths, is $1.3 billion
IT transformation
 General Motors (GM) is in the process of constructing a single global information warehouse
that will become the foundation for all business analytics and decision support across the
enterprise.
 The business objectives are
– to reduce operating expenses for data warehouses by 25-30%
– deliver 10x the measurable business value
– double IT project capability
– and integrate existing data warehouse systems with new technology to offload
data, reduce latency, reduce costs and improve performance.
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© 2014 IBM Corporation

8. A New Era of Smart
Abstract: IBM delivers a significant data warehouse modernization
programme to General Motors
 High performance and continuously available data management environment
 329,000 users with a 10% concurrency rate
 Grow to approximately one petabyte in size over three years
 IBM proposed a centralized enterprise architecture leveraging a traditional data warehouse
matched with IBM Big Insights Hadoop technology for big data analytics
Data types:
• Inventory control of parts
• Manufacturing equipment and
assembly line data
• Warranty and services data from
dealers
• Telemetry data from vehicles
• Customer services and social
media data
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9. A New Era of Smart
Big data = disparate data!
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10. A New Era of Smart
Probabilistic matching
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11. A New Era of Smart
Analyst validation of key IBM technologies....
....and Analyst validation of IBM potential future phase technologies....
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© 2014 IBM Corporation

12. A New Era of Smart
Capabilities required
1. Efficient data protocols
2. Real time analytics
3. Capture all data to a landing zone
4. High performance analytics platform
5. Application Platform
6. Data governance & integration
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© 2014 IBM Corporation

13. A New Era of Smart
IBM conclusions applicable to enterprise data warehouse
modernisation learned from work with GM
 GM’s objectives published in WSJ:
–Reduce operating expenses for data warehouses by 25-30%
–Deliver 10x the measurable business value
–Double IT project capability
–Integrate existing data warehouse systems with new technology
to offload data, reduce latency, reduce costs and improve
performance
 Educate enterprise architecture staff on the new disruptive technology capabilities
delivered from Hadoop, and its integration into existing data architectures
 Engage in a revue of data warehouse architecture to harness the cost savings, speed
advantages and business focus that new technologies such as IBM BigInsights for
Hadoop brings to market
 Experiment with new data asset/business objective combinations with IBM’s Big Data
experts
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© 2014 IBM Corporation

14. A New Era of Smart
Case study illustrates the hidden value of machine data
For a volume
production car fleet
using telematics data,
IBM correctly predicted
warranty codes/claims
43 days out with 86%
accuracy and only 1%
false positives
For a new electric car model, IBM
predicted warranty claims 60 days out
with 96% accuracy and 1% false
positives on 619 vehicles using Big
Data and analytics technology
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© 2014 IBM Corporation

15. A New Era of Smart
Broad range of role based visualisation and analytical capabilities
Data scientist Business person
R Script support SPSS Predictive analytics Integration with Cognos BI
Spreadsheet visualisation of data 360 degree view of machine/client/location
Delivered using the
BigInsights wizard
to accelerate the
use of Hadoop data
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© 2014 IBM Corporation

16. A New Era of Smart
BigInsights visualisation examples
1 –Hadoop raw data in spreadsheet format
2 - Sort, filter etc.
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17. A New Era of Smart
...and onto many kinds of analytical capability using Cognos
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© 2014 IBM Corporation

18. A New Era of Smart
How is Big Data Being Used in Industry?
Product Development &
Engineering
 Patent Analytics
 Social Media Analytics
 Quality & Warranty Analytics
Manufacturing &
Quality
 Predictive Maintenance
 Quality Early Warning
 Operational Efficiency
 Supply Chain Analytics
Connected Vehicle
 V2V, V2C, V2I, V2X
 Automotive Telematics
 Real-time Alerts
 Geospatial Analytics
 Text Analytics
 Predictive Failsafe Analytics
 Driver Specific Predictive Analytics
 Condition Based Monitoring
Marketing & Sales
 Social Media Analytics
 Text Analytics
 Customer 360
 Actionable Customer
Intelligence
 Next Best Action
After Sales
 Fraud Analytics
 Regulatory Analytics
 Social Media Analytics
 Warranty Analytics
 Customer 360
 Next Best Action
17 © 2014 IBM Corporation

19. A New Era of Smart
Experiment with Hadoop
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© 2014 IBM Corporation

20. A New Era of Smart
Suggested next action:
Create an inventory of your structured and unstructured data and assess where
business value will be found
Internal External
Complaints
Telematic
Data
Workflow
Data
Geolocation
Txn History
Data
Machine
failure data
Financial
Data
Shipping
schedule
data
Warranty
History
Payment
History
Machine
Performance
Call
Data
Recordings
Google
Alerts
Social Media
Maintenance
records
Activities
Data
Catastrophic
Emails
Web
Traffic
Data
Structured Unstructured
MDM
Customer
Data
Relatively easy
to acquire Difficult to
acquire
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21. A New Era of Smart
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20 © 2014 IBM Corporation

22. 17TH ~ 18th NOV 2014
MADRID (SPAIN)