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