IBM's statements regarding future products are subject to change without notice. Performance measurements are based on controlled environments and actual user performance may vary. References to IBM products are not intended to imply availability and do not constitute guidance or legal advice. Customer examples are for illustrative purposes only and actual results may vary.

1. Please Note
• IBM’s statements regarding its plans, directions, and intent are subject to change or
withdrawal without notice at IBM’s sole discretion.
• Information regarding potential future products is intended to outline our general
product direction and it should not be relied on in making a purchasing decision.
• The information mentioned regarding potential future products is not a commitment,
promise, or legal obligation to deliver any material, code or functionality. Information
about potential future products may not be incorporated into any contract.
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for our products remains at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks
in a controlled environment. The actual throughput or performance that any user will
experience will vary depending upon many factors, including considerations such as
the amount of multiprogramming in the user’s job stream, the I/O configuration, the
storage configuration, and the workload processed. Therefore, no assurance can be
given that an individual user will achieve results similar to those stated here.
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2. Acknowledgements and Disclaimers
Availability. References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in
which IBM operates.
The workshops, sessions and materials have been prepared by IBM or the session speakers and reflect their own views. They are provided for
informational purposes only, and are neither intended to, nor shall have the effect of being, legal or other guidance or advice to any participant.
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presentation or any other materials. Nothing contained in this presentation is intended to, nor shall have the effect of, creating any warranties or
representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use
of IBM software.
All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have
achieved. Actual environmental costs and performance characteristics may vary by customer. Nothing contained in these materials is intended to,
nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other
results.
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3. Your Competitive Advantage:
The IBM Client Center for
Advanced Analytics (CCAA)
TSB-7171
CCAA Speakers:
Magesh “Max” Narayanan, Lead Solution Architect
Joe Palaia, Data Scientist
Brian Van Bibber, Business Solutions
© 2014 IBM Corporation

4. Agenda
• Introduction to the Client Center for Advanced Analytics
• Analytics and Insight – deriving business value
• Case Studies and Demo – using SPSS and BigInsights
• Data, Capabilities and Infrastructure – bringing it all together
• Getting Started with CCAA
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5. IBM Client Center for Advanced Analytics
• Established in 2011 CCAA provides
services based on client demand:
Domestic analytics services for both
advanced analytics as well as
foundational data management.
Partner to support a client analytics
journey from strategy through
implementation
Provider of products, technology and
hosting options to explore analytic
capabilities
Talent in advanced analytics,
visualization, big data, cloud and
integration
Resources for integrated and
accelerated delivery
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6. Analytics and Insight
Deriving Business Value

7. Discovering the value to the business using analytics
• The focus and understanding of a business challenge in the form
of a question; is a good way to carve out a use case and
applying analytics to answer the question.
• The questions vary across industries and even across
companies in the same industry
• How can I predict policy cancellations? What can I do
to prevent them from happening?
• How can I measure the effectiveness of my fall product
line marketing campaigns? And what can I do to make
them more effective?
• How can I improve Supply Chain for my business?
Faster movement of product? Right product? Right
location?
• What does consumer group want 5 years from now?
How will they be shopping? Should I continue to
invest in my existing platform or move to self-service?

8. Overcoming challenges to answer the business
Challenges:
• New more complex data has emerged and is being
generated at rates never seen before
• Social network data, web logs, archived data and sensor
data are all new data sources of attracting analytical
attention
• Data and analytical workload complexity is growing
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Netting it out...
Identify Use
Case(s)
Determine Business
Value Measurement
Identify the data
needed to analyze
Ingest Data Model Data Analyze
Assess
Findings
Measure
Impact and
Identify
Plan to
Scale

9. Case Studies and Demo
Using SPSS and BigInsights

10. The Engagement Lifecycle scope and duration will vary by project based on scope,
complexity and business outcome measurement. The following outlines a typical 3 phase
approach for Proof of Value Engagement.
Project Kick-off Review Point Review Point Final presentation
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Proof of Value Engagement Lifecycle
Planning Phase Analysis Modeling Phase Completion Phase
1-2 weeks 4 weeks 1-2 weeks
• Data understanding and
business case alignment
• Environment Setup (typically a
2-5 day setup depending on
the requirements)
• Data ingestion and loading
into the environments as
needed (i.e. Netezza, DB2,
BigInsights)
• Data Mapping
• Detailed analysis and
validation
• Perform detailed iterative
data analysis jointly with
Client team
• Creating of reports, models
• Populate load data list
• Conduct joint sessions to
review output and modify as
necessary
• Prepare final report
• Review final report with client
team
• Data Assessment
• Use Case Definition
• Data Dictionary for the data source
• Preliminary data analysis results
• POC Final Report
KEY DELIVERABLES
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11. Large Automotive Manufacturer expanding business
and operations required a deep assessment of how
to best apply Big Data and Analytics for optimization
and predictive maintenance.
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Business problem: Leading Automotive Manufacturer is in need of
improving maintenance and operations of the overall assembly line and
wanted to understand how can analytics and big data help identify
problematic areas and how and when to take action.
Solution: IBM conducted Business Value Assessment that resulted in 5
core areas of business that could be improved by applying analytics with a
Roadmap to address the areas beginning with PoC’s to solution roadmap
for implementation. Through CCAA the first PoC as part of the Pilot
program is underway applying SPSS and PMQ. It is a collaborative team
and is focused on the use of Predicative Monitoring and Assessment to
improve operations in General Welding.
Predictive analytics
and assessment
leveraging existing
data to predict and
prevent assembly block
and holds.
An Analytics Platform
utilizing SPSS and
Predictive Maintenance
Quality assets.
Predictive
Maintenance
and Quality

12. Leading Pharmaceutical Distributer increases profit
through a Signature Savings solution.
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Business problem: Client challenge was to improve
profitability based on non-generic and generic drugs in prep for
annual sales meeting.
Solution: The IBM team (SWG, GBS, CCAA) put a system in
place for them called Signature Savings this demonstrated a
profit increase of over $5m. We are now working on
numerous initiatives launched to address additional areas of
savings to essentially apply and replicate the model of savings.
A Signature Savings
Solution demonstrating
a profit increase of over
$5m.
A commerce platform that
will improve brand position
and drive stronger sales, as
well as improve marketing,
campaign management and
customer service and
intimacy.

13. Insurance Company can now apply statistical and
predictive models to predict cancellation behaviors
and extract business insights to increase policy holder
retention..
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Business problem: Inability to utilize existing data to apply
analytics to build at-risk customer models. Identified the need
for analytics and need to secure funding for larger IBM-driven
transformation project
Solution: CCAA and the IBM Insurance Industry SME’s guided
the customer to a pragmatic approach to utilize 9 years of mixed
historical data sets to build early warning models of customers
at risk of attrition. The client received a set of actionable models
that forecast what customers, by segment, are most at risk of
cancelling their policies.
Big Data analytics to
identify patterns of
attrition to improve
customer retention
IBM’s Big Data platform
processed a large amount of
historical data from various
sources leveraging Big
Insights w/Hadoop and
SPSS for predictive and
statistical analytics.
Big Data

14. A demonstration on analytics for client engagement
• Based on the shared client
cases the following of what is
happening behind the
scenes such as:
Data Ingestion – the
landing zone
BigInsights – Hadoop
running on Softlayer
SPSS – models and use of
IBM’s Action Clusters
Cognos – Reporting and
Visualization of insights
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15. Data, Capabilities and Hosting
Bringing it all together

16. Pulling it all together on Softlayer…
• CCAA Hosts products, technology and assets on Softlayer and
leverages traditional hosting for appliances.
Analytics on the Cloud
Traditional Hosting
IBM GTS Cloud Marketplace
IBM DST Hosted
Environments

17. Getting Started with CCAA

18. Identify the question or business
challenge that needs to be addressed
through scoping and planning
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Rapid Analytics Program
What is it?
A program provided to quickly on-board clients to
execute on analytics, two options of engagement:
One-Day Visioning Workshop: Explore the “art of the
possible”, identify and prioritize business outcomes that
Big Data and Analytics can help the client achieve.
Develop high-level Roadmap and practical next steps.
Quick Hit Analytics: Provides the opportunity to clients to
prove out the value proposition of Big Data and Analytics
using their data, along with IBM Industry Expertise and
technology and software.
What is the value?
When to use it?
How does it work?
Explore the applicability of Big Data and
identified areas of business value
Apply the technology, subject matter expertise
hosted by IBM to confirm business outcome
Support a transformational plan that includes
transition or application of Big Data and analytics
Gather and send a sample data set to
CCAA for processing and analysis
Work in collaboration with the IBM
Industry Teams and top analytic
resources in CCAA on applying IBM
technology and leveraging the IBM
environments to execute on the PoC
Review and confirm results as a team.
Ensure business goals are met and that
the strategic placement of this capability
in the enterprise is understood.

19. 19
Rapid Analytics Program - Advantages
Expertise Methodology
Leverage IBM analytics “know-how”
Agile methodology approach
Benefit from cross-industry experience to pick the
right use cases
Gain immediate access to latest technologies,
analytical techniques methods, and unique data
sources
Alleviates organizational stress and distractions for
executing analytical projects
Use the data you already have in new and innovative
ways
While you need to explain your data to us you do not
need to have to worry about schemas
Cloud and Softlayer Services
Capabilities
Data
Makes high volume data handling available as
necessary
Deep cycle computing available as needed on CPU-expensive
data preparation and/or model building
Model building in SPSS / R allow for commonly
deployed tools to catch work
Accelerated Time to Value and differentiated
outcomes
An acutely focused environment for incubating and
testing new concepts and strategies
Increased collaboration and ideation
Provides factory approach for sourcing, confirming
and supplying data for downstream consumption
Collaborative teaming to identify and grow skill and
resources to support business needs
Access to IBM Global Research teams for
innovation and unique capabilities for differentiation
Leverages SoftLayer to make environment spin up
easy and elastic to meet your needs
Creates opportunities for you to keep running
analytics on an on-going basis
Leverages IBM’s DST environment for Appliance
hosting integrated with Cloud

20. The Rapid Analytics Results Program
• Outcome based Analytics “Quick Hit” program
• 4 – 8 week duration, depending on Scope
• Utilizing
• Customer’s data
• IBM’s Existing Environment
• IBM’s Technology
• IBM’s Talent on the Ground
Which
customers
should I
target?
How do I get
my equipment
to last longer?
What is
causing my
attrition levels
to rise?
What’s the right
product mix for
maximum
profit?
How do I lower
my inventory
levels without
negative
results?
How do I
understand my
customer
better?

21. The Rapid Analytics Results Program
Send the Data
SoftLayer
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Visioning Workshop
Use Case
Selection
Use Case 1
Use Case 2
Use Case 3
Selected Use Case
Scoping Session
Analytics
Outcome
Resources
/ Env’t
Complexity
Raw Data
Statement of Work
Ranking
Complexity
• Deployment
• Skill Set
• Adoption
Value
• Cost Avoidance
• Gross Margin
• Throughput
Filter
• Executive
Sponsorship
• Level of Business
Value
• Level of Impact
The “Quick Hit”

22. Client Center for Advanced Analytics
Columbus, Ohio
After the Quick Hit
• Continuing Run Services – Analytics Foundry
• Scheduled Data Feed
• IBM Runs the Model Returns the Results
• Analytics Partnership
• The next Outcome Based Project(s) (“Quick Hits”)
• Potential Foundry Opportunity for Future Projects
• Foundational Analytics Bundles
• ETL MDM
• Warehouse Architecture Support
• Dashboarding and Visualization
Technology Tools Talent

23. We Value Your Feedback!
• Don’t forget to submit your Insight session and speaker feedback!
Your feedback is very important to us – we use it to continually
improve the conference.
• Access the Insight Conference Connect tool to quickly submit your
surveys from your smartphone, laptop or conference kiosk.
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Brian Van Bibber
Business Solutions Leader
brian.vanbibber@us.ibm.com
614-230-4193
Max Narayanan
Solution Architect
maxnarayanan@us.ibm.com
614-339-9928
Teresa Hamid
Chief Technology Officer
teresah@us.ibm.com
614.315.5976

24. Thank You

25. Color Palette
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