1. InfoSphere Integration and Product Roadmap
Keith Kohl
Program Director, Product Management

2. The IBM InfoSphere Vision
An Industry Unique Information Platform
Simplify the delivery of Trusted Information
Accelerate client value
Promote collaboration
Mitigate risk
Modular but Integrated
Scalable – Project to Enterprise
IBM has assembled a portfolio specific designed to help organizations deal with the challenges of fragmented information. This portfolio, called InfoSphere, accelerates the delivery of trusted information throughout an organization. The portfolio accelerates client value and reduces risk in critical information projects.
There are four primary parts to the portfolio. At the foundation is the InfoSphere Information Server, which specializes in integrating data across a heterogeneous landscape and delivering complete and accurate information when and where it is needed. A common target of this data is InfoSphere MDM, which manages a master view of key data elements like customer, product, account, and location over time. InfoSphere Warehouse provides a foundation for enormously scalable data warehouses, with key partitioning, mining, and cubing features to maximize the value of information. And providing acceleration for all of these are the IBM Industry Models, which contain industry-centric domain knowledge to help organizations achieve better results faster.
Each part of the portfolio enjoys a market leadership position and stands alone in its value, but IBM is also investing in making the pieces work better together – helping companies who choose multiple parts to leverage deep synergies to further accelerate value.

3. Evolution of Information Projects
Reports
Dashboards
KPIs…
Scorecards
Executives
Performance Mgmt
Understand, Decide
Marts
ERP
Claims
Call Center
Supply Chain…
Applications
Real time Situational Decisions
Master
Schemas
Analysts
Spot Trends
Recommend
Analytic Applications
Warehouses
Marts
Weak Information Architecture
Heterogeneous
Systems & Information Sources 3

4. An Information Agenda One Approach to Achieving Information On Demand
Create an approach for transforming
information into a trusted strategic asset that
can be leveraged across applications, processes &
decisions for sustained competitive advantage
Create an Information
Agenda 5
Optimize Business
Performance &
Organizational Knowledge 4
Create, Manage,
Govern & Deliver
Trusted Information
Business Optimization 3
Optimize Content -based
Operational & Compliance
Related Processes 2
Manage Data
Over its Lifecycle 1
DB2, Informix, IMS… 4

5. Four Pieces… but where is the synergy?
“When aiming to optimize costs in data management and integration initiatives, it is critical to know what steps to take and where significant savings can be realized while maintaining success in these projects. In most cases, the cost of implementing the steps will be far outweighed by the savings that can be realized.”
-- Ted Friedman, Vice President and Distinguished Engineer, Gartner

6. OR The Synergy Story Models Cleansing ETL MDM Data Warehouse BI + + +

7. The Synergy Story Models Cleansing ETL MDM Data Warehouse BI + + + + +
A: You
Q: Who invests
in these
integrations?
A: IBM + + + + + + +

8. Market Leadership Data Integration Data Quality CDI PIM ETL
Customer Hubs

9. The Construction of Our Single Platform
IBM
IBM
Information
Server
Mainframe
Integration
Replication
Event Pub
(pre-2002)
Federation
Ascential
Acquisition
Content
Integration
Unstructured
Information
Mgmt
2002
2003
2004
2005
2006
Integrated Semi-structured
Data Handling
Integrated Matching
Key Point: IBM recognized this need and began building out this platform over four years ago. We are now at the point of architectural unification, providing enormous leverage and productivity for any information integration task.
Within IBM, we’ve been on this path for a long time. In fact, we began assembling the platform that Gartner is proposing over four years ago, when we integrated data quality functionality and metadata management into the core ETL platform we had in place. We have added other pieces to this over time through acquisitions and internal technology development. The good news is that we are now reaching the point where this is no longer just a set of integrated technologies. Instead, we now have a completely unified architecture, providing seamless and organic use of these information integration functions interchangeably, and providing extremely high levels of productivity and leverage to development teams.
Metadata:
4/24/2002 – Ascential announces metadata strategy – delivers MetaStage
8/18/2003 – Informatica launches SuperGlue
Data Quality & Profiling:
4/30/2002 – Ascential adds integrated data quality & profiling (Vality & Metagenix)
7/29/2003 – Informatica signs reseller agreement with FirstLogic to embed cleansing
8/16/2005 – Informatica expands reseller agreement with FirstLogic to include matching
11/10/2003 – Informatica announces integrated profiling capabilities
SOA
5/15/2002 – Ascential a founding member of the WS-I – launches SOA strategy
6/16/2003 – Ascential launches RTI SOA deployment product
11/10/2003 – Informatica launches SOA capability
11/11/2003 – Informatica joins WS-I
Grid
5/20/2003 – Ascential announces grid strategy – joins GGF
11/10/2003 – Informatica announces grid strategy
11/11/2003 – Informatica joins GGF
64-bit
10/29/2003 – Ascential announces 64-bit plans
11/10/2003 – Informatica announces 64-bit plans
Semi-structured data
10/2003 – Ascential launches DataStage TX for handling semi-structured data formats
10/25/2005 – Informatica launches semi-structured data handling capabilities
Federation
4/2005 – Ascential is acquired by IBM, a single business unit is created around information integration, including Federation
10/25/2005 – Informatica launches federation capabilities
Integrated Profiling
SOA Deployment
Architectural
Unification
Integrated Cleansing
Grid Deployment
Metadata Integration
Ascential

10. Master Data Management Construction
Ascential Acquisition - Data Cleansing, Meta Data Management, ETL
Operational MDM
Customer Center
CDI platform
WCC
MDM Platform
500+
Services
SOA Framework
Atomic Services
Trigo
Acquisition
DWL
Acquisition
1999
2002
2003
2004
2005
2006
2007
Key Point: IBM recognized this need and began building out this platform over four years ago. We are now at the point of architectural unification, providing enormous leverage and productivity for any information integration task.
Within IBM, we’ve been on this path for a long time. In fact, we began assembling the platform that Gartner is proposing over four years ago, when we integrated data quality functionality and metadata management into the core ETL platform we had in place. We have added other pieces to this over time through acquisitions and internal technology development. The good news is that we are now reaching the point where this is no longer just a set of integrated technologies. Instead, we now have a completely unified architecture, providing seamless and organic use of these information integration functions interchangeably, and providing extremely high levels of productivity and leverage to development teams.
Metadata:
4/24/2002 – Ascential announces metadata strategy – delivers MetaStage
8/18/2003 – Informatica launches SuperGlue
Data Quality & Profiling:
4/30/2002 – Ascential adds integrated data quality & profiling (Vality & Metagenix)
7/29/2003 – Informatica signs reseller agreement with FirstLogic to embed cleansing
8/16/2005 – Informatica expands reseller agreement with FirstLogic to include matching
11/10/2003 – Informatica announces integrated profiling capabilities
SOA
5/15/2002 – Ascential a founding member of the WS-I – launches SOA strategy
6/16/2003 – Ascential launches RTI SOA deployment product
11/10/2003 – Informatica launches SOA capability
11/11/2003 – Informatica joins WS-I
Grid
5/20/2003 – Ascential announces grid strategy – joins GGF
11/10/2003 – Informatica announces grid strategy
11/11/2003 – Informatica joins GGF
64-bit
10/29/2003 – Ascential announces 64-bit plans
11/10/2003 – Informatica announces 64-bit plans
Semi-structured data
10/2003 – Ascential launches DataStage TX for handling semi-structured data formats
10/25/2005 – Informatica launches semi-structured data handling capabilities
Federation
4/2005 – Ascential is acquired by IBM, a single business unit is created around information integration, including Federation
10/25/2005 – Informatica launches federation capabilities
Trading partner
Collaboration
New Product
Introduction
Collaboration
Departmental
Collaboration
PIM platform
Collaborative MDM
Product Center

11. The Synergy Facts
IBM is the only vendor in the leadership quadrants in data integration, master data management, data warehousing, and business intelligence
IBM invests $1B per year in this portfolio and the synergy points
IBM has best practices & methodologies that extend across these domains
IBM leads has the most advanced integration across these components available in the market today
Customers who implement multiple pieces from the InfoSphere portfolio reduce their risk and time to market

12. Enterprise Data Warehouse
The Big Picture
Data Warehouse Design
Business
Applications
Data Warehouse Model
Services Data Model
Business Solution Templates
Customers
Merchandizing
Sources
Enterprise Data Warehouse
Staging
Area
Data
Warehouse
Real-time
Partition
Essbase
Products
Data Analysis
& Reporting
POS
ROLAP
Data Mining
OLAP
Server *
Front Office
Predictive Modelling
MDM
Consumers
Accounting
Master Data Management
Mgt Reporting
ESB
SIF
MDM
Repository
Business
Services
ERP
Inventory
ETL/Data Quality
CRM HR
Warehouse Management & Administration
Metadata Management & Metadata Repository
Other Sources

13. Existing Integration Points for Industry Models
Fit with our business requirements…..…....85%
Savings from initial analysis phase .……....75%
Design (inc. logical & physical models) ..…65%
Estimated 6 to 12 weeks for Logical model build
 Done in 2 Days
Generate warehouse structures through RDA
BSTs provide design foundation for reports and cubes
Pre-load Information Server with a business glossary & physical model for mapping
Data and process models mapped to MDM model & business services

14. Models, Design Studio & Information Server
Fit with our business requirements…..…....85%
Savings from initial analysis phase .……....75%
Mitigated project risk..………………. …… %
Estimated 3 to 5 days to capture business metadata
 Done in Minutes
Upon import to the Information Server, relationships are automatically created between technical assets and business terms

15. Existing Integration Points for Information Server
20-25% decrease in the time spent in design
15% decrease in the time spent in the deployment
15-20% cost savings to build the warehouse
Estimated 2000 staff days for project
 Completed in 212 days
Pre-built MDM load routines & embedded cleansing & matching
High-speed parallel warehouse connectors
Direct import of terms into business glossary & physical models into DataStage & FastTrack
Metadata lineage into Cognos
End-to-end lineage traceability and impact analysis

16. Auto-generates DataStage jobs
Information Server FastTrack To Reduce Costs of Integration Projects Through Automation
“FastTrack usage can reduce the cost of ETL development in mid-size projects but 30%-40%.”…Wipro
Utilizing FastTrack will bring significant productivity gains, quality improvement, documentation, and metadata transparency of our data integration tasks. It will also greatly improve the quality of our offshore development….Danske Bank
Business analysts and IT collaborate in context to create project specification
Leverages source analysis, target models, and metadata to facilitate mapping process
Auto-generation of data transformation jobs & reports
Specification
Auto-generates DataStage jobs
Flexible Reporting

17. FastTrack FastTrack FastTrack
FastTrack Scenarios
Source
Metadata
Target
Metadata
Industry
Models
Information
Analyzer
FastTrack
Data
Warehouse
Information
Analyzer
FastTrack
SAP
Packs
SAP
Information
Analyzer
MDM
Server
Industry
Models
FastTrack
“The ability to translate this information directly into Information Server with up to 70 percent of the code completed will significantly shorten our development lifecycle” - Bank Austria

18. What does this Field Mean?
Show relationships between business terms, data model entities, and technical and report fields
Provides cross-tool mapping of business terms
Allows field meaning to be understood
Allows business term relationships to be understood

19. Where Happens if I Change this Column?
Show complete change impact in graphical or list form
Includes impact on reports in BI tools
Visually navigate through impacted objects across tools
Allows impact analysis on any object type

20. Where does a Field of Data in this Report Come From?
>50% report execs are now getting the information they want
>50% report a faster time to value (business gets reports faster)
Import & Browse Full BI Report Metadata
Navigate through report attributes
Visually navigate through data lineage across tools
Combines operational & design viewpoint
IBM Information Server
Source Tables

21. Existing Integration Points for MDM Server
Information Server and MDM Server can reduce initial load by 25%-50%, and improve quality
An MDM Rapid Deployment release can be in production in 3-4 months vs months
Pre-built MDM load routines & embedded cleansing & matching
Service integration with ESB
Direct mapping of MDM data model to the Industry Data & Process models
Pre-built integration to load InfoSphere Warehouse

22. Existing Integration Points for Warehouse
High speed parallel connectors from Information Server
Integration with Cognos through cubing services
Generation of warehouse structures from models using RDA
Pre-built integration with MDM Server

23. An Example: American Express
Challenge
No single view of merchant accounts across Amex
Needed to combine multiple data sources into a single data warehouse
Very short implementation timelines
Solution
Chose a complete InfoSphere stack:
InfoSphere Information Server
InfoSphere Warehouse
IBM Industry Models
Cognos 8 BI
Results
Rolled out their first data mart (just over 6 months)
The synergies of the InfoSphere portfolio accelerated their project
Now looking to expand into MDM

24. Bottom Line
The InfoSphere portfolio addresses the majority of requirements companies face around their information
There is no more integrated portfolio on the market
IBM has the only portfolio which also leads in each and every category
IBM invests $1B each year on this portfolio and its integration
By choosing a more complete InfoSphere solution, organizations can reduce their risk & improve time to value

25. Leading The Market In Innovation
InfoSphere Strategy & Vision
Leading The Market In Innovation
Continued Simplicity & Usability Advancements
Rule & Transformation Discovery
Automation to Optimization
Platform Analytics & Dashboards
Data Governance Tools
The IBM InfoSphere Software strategy is to continue to lead the market in innovation, further simplifying integration and management of information, and providing automated discovery of data rules and the logic needed to transform data into a useful state. IBM is investing heavily in automating development and integration tasks, and enabling the infrastructure to continuously optimize itself. IBM is also focused on providing more insight into the information integrated and managed through the InfoSphere Software portfolio, through analytics and dashboards embedded in the process – and ultimately helping organizations to more effectively govern information.
IBM will continue to invest in each part of the portfolio, and in the integration of the pieces, driving more synergy across the parts to maximize client value.

26. FastTrack : Automated Rule Discovery
Select transformation functions to discover:
Value mappings
Arithmetic functions
String functions
If/then conditions
Aggregates
Lookups
Pivots/reverse pivots
Parameters to control discovery
Confidence, support, etc.
Confidence:
Support:
Transformations: per column
90% 2
Top 3 √ √
Value mapping
Arithmetic
String
Aggregates
Pivots
Lookups
Select source and target tables and subset of columns for discovery
Select set of functions to test for (regression, pivots, aggs, mapping, etc.)
Predefined list of scalar functions supported by DataStage.
Kickoff discovery process
Discover
Save

27. Discovered Rules

28. InfoSphere DataStage Balanced Optimization Data Transformation
Developers
Architects
Provides the same job design as traditional DataStage jobs so there is no recoding required
Leverages investments in DBMS hardware by executing data integration tasks within the DBMS
Optimizes job run-time by allowing the developer to control where the entire job or various parts of the job will execute.
Transform and aggregate any volume of information in batch or real time through visually designed logic
Optimizing run time through intelligent use of DBMS hardware

29. IBM Has Invested To Meet These Requirements One Single Information Platform
Business As Usual:
Projects 10x as long with individual tooling
Unified Platform Benefits:
Decreased risk by %
Improved business alignment %
Improve time to value by %
Reduce project staffing by %
Source: Customer Case Studies, Industry Analyst Reports

30. Thank You!