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Big Data & Information Management Channel Manager
1. Information Management & Business Analytics April 3rd 2014
Big Data/Information Management
Mark Chandler
Big Data & Information Management Channel Manager
Email: mark.chandler@uk.ibm.com
Mobile: 07738 310900
2. Information Management & Business Analytics April 3rd 2014
Agenda
 Where do you go to for information?
 Business Analytics & DB2
 Netezza & Business Analytics
 InfoSphere portfolio & Business Analytics
 Cognos Data Manager
3. Information Management & Business Analytics April 3rd 2014
The Right Tools
IM Exclusive BP Portal
Business Partner
Locator Tool
PartnerPlan & SVP
Readiness Dashboard
Web Content
Syndication
Ready to Execute
Campaigns
Software Briefing Center
IBM Market Insights
(Comp)
All labels are hyperlinked on this page in Slide Show mode
Financing a
Smarter Planet
Getting Started with
Social Media
IBM Global Financing
7. Information Management & Business Analytics April 3rd 2014
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Dynamic In-Memory
In-memory columnar processing with
dynamic movement of data from storage
Actionable Compression
Patented compression technique that preserves order
so data can be used without decompressing
Parallel Vector Processing
Multi-core and SIMD parallelism
(Single Instruction Multiple Data)
Data Skipping
Skips unnecessary processing of irrelevant data
Encoded
“A query that takes hours on a 120 node Teradata system
runs in seconds on DB2 with BLU Acceleration on a 24 core system.”
Beta Test Client
Why is DB2 with BLU Acceleration Different
10. Information Management & Business Analytics April 3rd 2014
UK Examples of Netezza and Cognos customers
 Greene King
 Ace Insurance
 Coventry Building Society
11. Information Management & Business Analytics April 3rd 2014
11
 Lots of data: 250 GB– 1.000 TB
 New data mart project in
development
 Lots of complex and ad hoc queries
 Encountering performance
challenges
 Price sensitive
 Old technology installations: e.g.
Sybase, HP NeoView and Red Brick
customers (end-of-life concerns)
 Mid-range Oracle customers:
Exadata and all Oracle DW BI
projects
 Limited IT-resources – need for
simplicity
 Industry focus:
 Digital Media
 Born-on-the-Web
 Data Aggregators
 Retailers
 Financial Services
 Life Sciences
 Management unable to answer
important questions from existing
data warehouse
 Exploiting information for
competitive advantage
 Users want answers in seconds
and minutes (SLA’s)
 Business needs to analyze up-to-
date data all the time
Netezza buying indicators
Technology side Business side
12. Information Management & Business Analytics April 3rd 2014
InfoSphere portfolio and Cognos
 Value proposition - InfoSphere & Cognos:
– Ensure highest quality data for trusted Cognos reports (Data Quality
solution)
– Know what information is on your reports and where it came from
(Business Information Exchange solution)
– Make decisions based on up-to-date information (Data Replication
solution)
– Expand support for broader enterprise data access (Data Integration)
13. Information Management & Business Analytics April 3rd 2014
Cognos Data Manager
 The Cognos Data Manager (DM) product
– low cost, simple to deploy and use ETL tool
– developed to fulfil the needs of feeding data to the Cognos cubes and schemas
 It has worked well but is not as comprehensive as the InfoSphere Portfolio
 There will be clients who need a more powerful solution
 Chance for Cognos and IM partners to work together to identify
opportunities
14. Information Management & Business Analytics April 3rd 2014
Big Data/Information Management
Mark Chandler
Big Data & Information Management Channel Manager
Email: mark.chandler@uk.ibm.com
Mobile: 07738 310900