© 2009 ibm corporation franko buneta infuture 2009 november 04, 2009 ibm information agenda title...

© 2009 IBM Corporation © 2009 IBM Corporation

Franko BunetaINFuture 2009November 04, 2009

IBM Information Agenda

Title text

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© 2009 IBM Corporation


Our world is becoming

INSTRUMENTED

Our world is becoming

INTERCONNECTED

Virtually all things, processes and waysof working are becoming

INTELLIGENT

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+ + =An opportunity to think and act in new ways -

economically, socially and technically.

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“Data is exploding and it’s in silos”I need Insight

“New business & process demands” I need to work smart

“Our resources are limited”I need efficiency

“My infrastructure is inflexible and costly”

I need to respond quickly

New Intelligence

Green & Beyond

Smart Work

Dynamic Infrastructure

IBM's Four Key Initiatives

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Some issues we’ve brought on ourselves.

Issues created by internal causes:

● Reversing Sub-Optimization – for years, we’ve developed BI environments “in spite of” underperforming tools.

● Managing “Chartjunk” – Experience should have taught us by now that needless data absolutely diminishes the value of BI analytics.

● Redefining ODS – We need to view our operational data stores as a strategic asset rather than passive storage of historical data

● Buy vs. Build – Despite a lot of historical resistance to buy components versus build it yourself, most firms now consider their buy alternatives as advantageous.

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What is Data Governance?

“Data Governance is the orchestration of people, process, and technology to enable an organization to leverage data as an enterprise asset.”

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IBM Lessons Learned

The five components of Enterprise Data Governance are:

1. Metadata

2. Data Standards / Enterprise Data Dictionary

3. Data Quality

4. Enterprise Data Model

5. Data Stewardship Organizational Models

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Data Governance is… “a process”• Helps organizations recognize, design

and manage activities• Appropriately protects and maximizes

the inherent value of data assets

…Governance must span both Business and Information Technology in order to successfully manage data

Active, Committed Champions

Cost Savings

Faster Development TimeAccurate Reporting

Reusable Component-driven

DevelopmentProcess

Business Processes

Information Technology Processes

Data StewardshipOrganization

Benefits

Data ManagementOrganization

Data Governance

Data GovernanceCommon Entry Point

Proven Approach

Requirements for Success• Helps organizations recognize, design

and manage activities• Appropriately protects and maximizes

the inherent value of data assets

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• Silver Bullet Syndrome

• Ivory Tower Syndrome

• Culture Shock: Lack of Change Management

“How to ensure failure in a Data Governance Program”

Despite the many quantifiable benefits, as well as the mandatory regulatory reporting, many organizations have embarked upon Data Governance Programs with mixed results. Below are some of the common reasons for failure:

The Difficulty Implementing Data Governance Programs

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Maturity ofInformation Use

Bridging the Gap Becoming an Information Based Enterprise

Information Information ManagementManagement

BusinessValue

Data to Run the Data to Run the BusinessBusiness

Information as a Strategic Asset

Information to Enable

Innovation

Flexible Information Architecture

Information Based Enterprise

…an enterprise with an Information

agenda

Unlock the business value of information …

Real-Time Single View of the Truth

Optimized Business Performance

Information in Context

Basic Information Interaction

Data Processing

and Analysis

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Information AgendaA Proven Approach to Smarter Business OutcomesA Proven Approach to Smarter Business Outcomes

Establish end-to-end vision & Establish end-to-end vision & business-driven valuebusiness-driven value

Align people, Align people, process & informationprocess & information

AccelerateAccelerateprojects for shortprojects for short& long-term ROI& long-term ROI

Architect an extensible Architect an extensible information infrastructureinformation infrastructure

Discover & design trusted information with unified tools and expertise to sustain competitive advantage over time…

Accelerate information-intensive projects aligned with

the strategy to speed both short-term & long-term return

on investments…

Establish an information-driven strategy & objectives

to enable business priorities…

Deploy open and agile technology and leverage existing information assets for speed and flexibility…

Proven Approach

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IBM History of Information Management AcquisitionsDate Company IBM Product Name (Old) IBM Product Name (New) Technology Description

July 2001 Informix Informix Dymanic Server IBM Informix Dynamic Server (IDS) Database software for OLTP

March 2004Trigo Technologies

WebSphere Product CenterInfoSphere MDM Server for Product Information Management (PIM)

Product Information Management software

July 2004 AlphaBlox DB2 AlphaBlox (Part of InfoSphere Warehouse) Data analysis and visualization software

January 2005

Systems Research & Development (SRD)

Entity Analytic Solutions

IBM Entity Analytic Solutions- IBM Identity Resolution- IBM Relationship Resolution- IBM Anonymous Resolution

Identity resolution software

March 2005 Ascential

IBM Information Server- Webphere DataStage- WebSphere Quality Stage- WebSphere Information Analyzer- WebSphere Business Glossary- WebSphere Information Services Director- WebSphere Federation Server

InfoSphere Information Server- InfoSphere DataStage- InfoSphere Quality Stage- InfoSphere Information Analyzer- InfoSphere Business Glossary- InfoSphere Information Services Director- InfoSphere Federation Server

Comprehensive information integration platform to understand, cleanse, rationalize and transform information

August 2005 DWL WebSphere Customer Center InfoSphere MDM Server Customer data integration software

November 2005iPhrase Technologies

WebSphere Information Integrator OmniFind IBM OmniFindContext-aware search and content management software

March 2005Language Analysis Systems

IBM Global Name Recognition InfoSphere Global Name RecognitionMulticultural name-recognition and analysis software

October 2006 FileNet FileNet P8 IBM FileNet P8Enterprise content management and business process management solutions

September 2007 DataMirror DataMirror Transformation Server InfoSphere Change Data CaptureIdentification and capture of changed data to ensure use of trusted, accurate data

September 2007 Princeton Softech Optim IBM OptimData archiving, test data management, data privacy and data classification software

January 2008 Cognos Cognos IBM CognosBusiness intelligence and performance management software

January 2008Solid Information Technology

solidDB IBM solidDBIn-memory database software for real-time information access

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• At what level do you currently manage and use information within your enterprise?

• How broadly integrated is your information?

• What policies & practices do you have regarding information governance?

• How broadly do you need to provide access to information across your organization?

• Can you measure data quality and determine its variability, value & costs?

• What types of analytical capabilities are important to you and your users?

……to what degree do you have a to what degree do you have a “unified” strategy for managing “unified” strategy for managing

information?information?

Information Maturity Assessment

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Across 17 Industries

Identify the key business challenges for focus

Establish the technology requirements

Identify and prioritize projects

Provide industry specific implementation roadmaps

Harness experience from thousands of customer deployments

Industry Guides

Smarter Business OutcomesInformation Agenda Strategy RoadmapsInformation Agenda Strategy Roadmaps

Proven Approach

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* IBM Information Agenda Guide for Government* IBM Information Agenda Guide for Government

Strategic ImperativesThe key focus areas for a specific industry that are critical to improving

overall business performance

Core Management Processes

The underlying processes that are prevalent across

all areas of the company in every industry and must be

managed for improved business performance

Business ObjectivesThe processes and

activities that can be optimized through more

effective use of information in support of the strategic imperatives

Information Agenda RoadmapsIndustry GuidesIndustry Guides

Proven Approach

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“IBM can claim what is arguably the industry’s broadest portfolio of unified information management software, services – and industry-specific solutions” Ovum Technologies, August 2008

Common infrastructure for

enterprise-wide business optimization

IBM Unified Information Management

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Web | OfficeConsumer Modes

Consume Reports | Ad-Hoc Query | Reporting | Analysis | Dashboards | System AdministrationBroad User Capabilities

Framework Manager | TransformerModeling & Management

Smart Analytics System Business Intelligence Module (Cognos)

Smart Analytics System Data Mining & Text Analytics Module Smart Analytics System Cubing Services Module

Data Mining Text Analytics Cubing Services

Smart Analytics System Foundation

InfoSphere WarehouseWorkload Management Tivoli System Automation

Professional Reports Interactive Analysis Predictive Analytics Dashboards

Installed & Configured

Entitled

Smart Analytics SystemIBM Smart Analytics SystemBusiness Intelligence Capabilities

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Thanks for your time!

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© 2009 ibm corporation franko buneta infuture 2009 november 04, 2009 ibm information agenda title...

Documents

data quality

data active

needless data

data governance programs

enterprise data model

operational data stores

ibm lessons

enterprise asset