Early Education Presentation Guidelines

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IBM Information Agenda
Title text
Franko Buneta
INFuture 2009
November 04, 2009
© 2009 IBM Corporation
Our world is becoming
INSTRUMENTED
Our world is becoming
INTERCONNECTED
Virtually all things, processes and ways
of working are becoming
INTELLIGENT
© 2009 IBM Corporation
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© 2009 IBM Corporation
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An opportunity to think and act in new ways economically, socially and technically.
© 2009 IBM Corporation
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© 2009 IBM Corporation
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IBM's Four Key Initiatives
“Our resources are limited”
I need efficiency
Green & Beyond
“Data is exploding
and it’s in silos”
I need Insight
“My infrastructure is
inflexible and costly”
I need to respond quickly
Dynamic
Infrastructure
New Intelligence
“New business & process demands”
I need to work smart
© 2009 IBM Corporation
© 2009 IBM Corporation
Smart Work
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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
© 2009 IBM Corporation
components versus build it yourself, most firms now consider their
buy alternatives as advantageous.
© 2009 IBM Corporation
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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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© 2009 IBM Corporation
© 2009 IBM Corporation
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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
© 2009 IBM Corporation
© 2009 IBM Corporation
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Data Governance
Proven
Approach
Common Entry Point
Data Governance
Data Governance is… “a process”
• Helps organizations recognize, design
and manage activities
• Appropriately protects and maximizes
the inherent value of data assets
Requirements for Success
• Helps organizations recognize, design
and manage activities
• Appropriately protects and maximizes
the inherent value of data assets
Data
Stewardship
Organization
Business
Processes
Cost Savings
Data
Management
Organization
Benefits
Information
Technology
Processes
Reusable
Component-driven
Development
Process
Active,
Committed
Champions
Faster Development Time
Accurate Reporting
…Governance must span both Business and Information
Technology in order to successfully manage data
© 2009 IBM Corporation
© 2009 IBM Corporation
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The Difficulty Implementing Data Governance
Programs
“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:
• Silver Bullet Syndrome
• Ivory Tower Syndrome
• Culture Shock: Lack of Change Management
© 2009 IBM Corporation
© 2009 IBM Corporation
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Bridging the Gap
Becoming an Information Based Enterprise
Business
Value
Unlock the business value
of information …
Optimized Business
Performance
Real-Time Single
View of the Truth
Information in
Context
Basic
Information
Interaction
Data
Processing
and Analysis
Information to
Enable
Innovation
Information Based
Enterprise
…an enterprise
with an
Information
agenda
Data to Run the
Business
© 2009 IBM Corporation
© 2009 IBM Corporation
Information
Management
Flexible
Information
Architecture
Information as a
Strategic Asset
Maturity of
Information Use
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Information Agenda
A Proven Approach to Smarter Business Outcomes
Proven
Approach
Establish end-to-end vision &
business-driven value
Align people,
process & information
Discover & design trusted
information with unified tools
and expertise to sustain
competitive advantage over
time…
Establish an informationdriven strategy & objectives
to enable business
priorities…
Accelerate
projects for short
& long-term ROI
Accelerate informationintensive projects aligned with
the strategy to speed both
short-term & long-term return
on investments…
Architect an extensible
information infrastructure
© 2009 IBM Corporation
Deploy open and agile technology and leverage
existing information assets for speed and flexibility…
© 2009 IBM Corporation
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IBM History of Information Management Acquisitions
Date
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 2004
Trigo
Technologies
WebSphere Product Center
InfoSphere 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
Entity Analytic Solutions
(SRD)
IBM Entity Analytic Solutions
- IBM Identity Resolution
- IBM Relationship Resolution
- IBM Anonymous Resolution
Identity resolution software
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
March 2005
Ascential
IBM Information Server
- Webphere DataStage
- WebSphere Quality Stage
- WebSphere Information Analyzer
- WebSphere Business Glossary
- WebSphere Information Services Director
- WebSphere Federation Server
August 2005
DWL
WebSphere Customer Center
InfoSphere MDM Server
Customer data integration software
November 2005
iPhrase
Technologies
WebSphere Information Integrator OmniFind
IBM OmniFind
Context-aware search and content management
software
March 2005
Language
Analysis Systems
IBM Global Name Recognition
InfoSphere Global Name Recognition
Multicultural name-recognition and analysis
software
October 2006
FileNet
FileNet P8
IBM FileNet P8
Enterprise content management and business
process management solutions
September 2007
DataMirror
DataMirror Transformation Server
InfoSphere Change Data Capture
Identification and capture of changed data to
ensure use of trusted, accurate data
September 2007
Princeton Softech
Optim
IBM Optim
Data archiving, test data management, data
privacy and data classification software
January 2008
Cognos
Cognos
IBM Cognos
Business intelligence and performance
management software
January 2008
Solid Information
Technology
solidDB
IBM solidDB
In-memory database software for real-time
information access
© 2009 IBM Corporation
© 2009 IBM Corporation
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Information Maturity Assessment
• 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
“unified” strategy for managing
information?
© 2009 IBM Corporation
© 2009 IBM Corporation
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Smarter Business Outcomes
Information Agenda Strategy Roadmaps
Proven
Approach
Across
17 Industries
Industry Guides
 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
© 2009 IBM Corporation
© 2009 IBM Corporation
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Information Agenda Roadmaps
Industry Guides
Proven
Approach
Strategic Imperatives
The 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 Objectives
The processes and
activities that can be
optimized through more
effective use of
information in support of
the strategic imperatives
© 2009 IBM
Corporation
* IBM Information
Agenda
Guide for Government
© 2009 IBM Corporation
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IBM Unified Information Management
“IBM can claim what is arguably the industry’s
broadest portfolio of unified information
management software, services – and
industry-specific solutions”
Business
Optimization
Ovum Technologies, August 2008
© 2009 IBM Corporation
© 2009 IBM Corporation
Common infrastructure for
enterprise-wide business optimization
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Smart Analytics System
IBM Smart Analytics System
Installed & Configured
Business Intelligence Capabilities
Professional Reports
Interactive Analysis
Entitled
Predictive Analytics
Dashboards
Smart Analytics System Business Intelligence Module (Cognos)
Consumer Modes
Web | Office
Broad User Capabilities
Consume Reports | Ad-Hoc Query | Reporting | Analysis | Dashboards | System Administration
Modeling & Management
Framework Manager | Transformer
Smart Analytics System Data Mining & Text Analytics Module
Data Mining
Smart Analytics System Cubing Services Module
Text Analytics
Cubing Services
Smart Analytics System Foundation
Workload Management
© 2009 IBM Corporation
© 2009 IBM Corporation
Tivoli System Automation
InfoSphere Warehouse
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Thanks for your time!
© 2009 IBM Corporation
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2009 IBM Corporation
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