InfoSphere Information Serverpublic.dhe.ibm.com/software/dw/spaces/collateral/fedsoa/Events/Da… · Data Integration Best Practices Methodology and Industry-Leading Solution Gregory

© 2008 IBM Corporation

InfoSphere Information Server Data Integration Best Practices Methodology and Industry-Leading Solution

Gregory J. VaughanInformation on Demand: Solutions [email protected]

2 © 2008 IBM Corporation

Information Management Software

Agenda and Discussion Points• Short historical perspective…

• What are the problems we solve…

• Data integration within IBM’s Information Management portfolio

• The context of Information as a Service within an SOA

• The Importance of a comprehensive Data Integration solution…risk

and risk mitigation

• Introduce IBM's methodology, processes, and supporting

technologies for data integration…Information Server

• IBM's approach to Data Governance and Metadata Management

• Identification & discussion of key differentiators

• SAP specific capabilities (as appropriate)

• High-level Architecture overview on whiteboard



BusinessValue

Maturity ofInformation Use

Accelerate to the Next Level Unlocking the Business Value of Information for Competitive Advantage



Unlocking the Business Value of Information

Customer & ProductProfitability

Multi-channelMarketing

Workforce Optimization

Dynamic Supply Chain

Financial Risk Insight

Flexible Architecture



• Business - Operational Impact• Risk reduction and cost avoidance in initiatives that require a

comprehensive solution for data integration

• Problems and Challenges Solved with Information Server:• Application consolidation• Data integration• Enterprise integration• Data Governance & Metadata Management• Merger & Acquisition assimilation• Data quality and standardization challenges• Implementations of EDW, BI, ERP, CRM, SCM, HCM, PLM, etc.• MDM enablement• Information as a Service in an SOA Environment• Compliance and government regulations • SAP implementations



A Critical Component of the SOA ArchitectureThe Heart of Information On Demand



Major Business Initiatives• Why do enterprises deploy IT systems?

• Competitive advantage• Innovation/Information Agenda• Safety/Readiness reporting• Corporate performance• Regulatory Compliance• Streamline business processes• Better understand the market• Share information across the enterprise• Increase revenue/better funds management• Bring new products/services to market faster• Improve Customer/Constituency/Warfighter Services• Better understand what the enterprise is doing- Governance

What is theCritical Success

factor?



#1 Risk to Successful Business Initiatives

X…n Source Systems

SourcesTargets

How do I get clean, consistent, accurate

trustworthy data from my source systems to where it needs to be?

# 1 RISK =Data

Integration

Increased costs

Slide in Schedule Decreased

ROI

Negative impact on business

Operations

Poor Reporting

Lost confidence

Project Failure +80%*

* Standish Group

EDW

CRM

SCM

PLM

•BI

ERP

HCM

FIN

System X

MDM



The Fundamental Information Challenge

What data do I already have?

Where is my data?

What condition is it in?

How do I get it when I need it?

What does it mean?

Can I trust it?

How do I get it in the form I need?

How do I get it where it needs to go?



Disparate Data Integration Layer…Lessons Learned


Sources Targets

Tool for Profiling

Tool for ETL

Tool for Cleansing

Tool for Metadata capture

Data validation

Hand-Coding

EDW

CRM

SCM

PLM

•BI

ERP

HCM

FIN

System X

MDM



Solving the data integration challenge…

UNIFIED METADATA Design & Operational Data

INFORMATION SERVER - UNIFIED PLATFORM

Understand Cleanse Transform Deliver


SourcesTargets

EDW

CRM

SCM

PLM

•BI

ERP

HCM

FIN

System X

MDM



IBM’s Data Integration Standard Practice Delivering information you can trust

Understand Cleanse Transform Deliver

IBM Master Data Integration

Discover, model, and govern information

structure and content

Standardize, merge,and correct information

Combine and restructure information

for new uses

Synchronize, virtualize and move information

for in-line delivery

Platform ServicesParallel

ProcessingServices

ConnectivityServices

MetadataServices

DeploymentServices

AdministrationServices



Best Practices Capabilities & Differentiators• Single data integration platform with multiple components

• Consistent and repeatable methodology for mitigating risks

• Industry leading Probabilistic Matching Engine for data

standardization jobs

• Native Parallel Processing Engine for scalability

• Shared GUI Interface between major components of the platform

• Centralized repository of critical metadata shared across the

platform

• Data integration enablement in an SOA environment



Gregory J. VaughanIOD Architect

Whiteboard

Solution Discussion



Gregory J. VaughanIOD Architect

Documents

InfoSphere Information Serverpublic.dhe.ibm.com/software/dw/spaces/collateral/fedsoa/Events/Da… · Data Integration Best Practices Methodology and Industry-Leading Solution Gregory