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© 2014 IBM Corporation
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Agenda
Big data challenges
Why consolidate and retire applications?
The payoff from doing it right
The requirements
The IBM solution
© 2014 IBM Corporation
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Data is growing at a rate of 40-50% YTY
as much data and content
over coming decade44x Volume
12 terabytes
of Tweets created daily
350 billion
meter readings per annum
100’s of video
feeds
from surveillance cameras
80% data
growth
in images, video,
documents…
5 million
trade events per second
500 million
call detail records per day
Variety
Velocity
Variety
2009800,000 petabytes
20134 zettabytes
2020
35 zettabytes
Velocity
Volume
© 2014 IBM Corporation
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Most organizations spend
of their budgets
just keeping the lights onIDC: Application Provisioning: Application Portfolio Rationalization — Consolidation and Retirement StrategiesNov 2013
© 2014 IBM Corporation
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Streamlining Application Infrastructure Frees Budget and Resources for New Initiatives
BIG DATA &
ANALYTICS
SOCIAL BUSINESS
ENTERPRISE
MOBILITY
CLOUD COMPUTING
€ €¥ ¥
© 2014 IBM Corporation
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IT D
rivers
Busin
ess D
riversCompetitive
Initiatives
New Applications,
Mergers & Acquisitions
Operational
Efficiency
Customer
Acquisition
Productivity:
‘Go-live’ Acceleration
Infrastructure
Simplification
Data Retention
Regulations
Data Center
Consolidation
Multiple Drivers Contribute to Increase in Migration and Retirement
© 2014 IBM Corporation
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Migration, Consolidation, Retirement: Plan To Do It Right
Application Plan
Failure to follow best practices can lead to: Project delays, population of
new apps with bad data and compliance failures
Monitor & maintain it
Modernize it
Replace it
Retire it
Application migration, consolidation or retirement
Classic data management
Source: Forrester Research November 2012
Key Considerations
How are you managing your data retention policies?
Is your new application replacing a number of heterogeneous
legacy systems?
Have you had data quality issues in your legacy environment?
How will you protect the test data for your new application?
How will you access important information once it has been retired?
© 2014 IBM Corporation
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Best Practices Include Five Key Steps
Legacy
ERPs
Departmental
ERP
1. Discover
& assess“As-is” “To-be”
2. Retain
the valuable &
dispose of the old
3. Cleanse
data
4. Transform
& deliver
data
5. Manage
& optimize
test data
LOB
applications
© 2014 IBM Corporation
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Discover and Assess Data
Distributed Data Landscape
A. Understand where data lives
B. Discover data and define relationships
C. Determine data retention policies
D. Define a common vocabulary
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?
© 2014 IBM Corporation
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Retain Valuable Data and Dispose of Old DataUse intelligent archiving for your data
D. Ensure universal access to data
A. Ensure comprehensive application coverage
B. Extract the complete “business object”
C. Support information lifecycle management (ILM) strategies
© 2014 IBM Corporation
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Cleanse Your Data and Manage Quality
Make sure data quality ownership
AND management sponsorship are defined.
A. Create reusable quality rules and cleanse data
B. Actively manage and monitor data
C. Remediate any inconsistencies
© 2014 IBM Corporation
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Transform and Deliver Data, Consolidating Into Targeted Applications
Transformation & Delivery Requirements
Handle any volume of information, including big data volumes
Leverage built-in functions to reduce costs
Support governance efforts using metadata
Pick the optimum delivery approach to meet your requirements
Mainframe, Databases
Complex files, XML
Legacy
Enterprise
Apps
(ERP, CRM)
Strategic
App
© 2014 IBM Corporation
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Create targeted, right-sized test environments
Substitute sensitive data with fictionalized yet contextually accurate data
Easily refresh, reset and maintain test environments
Compare data to pinpoint and resolve defects faster
Accelerate release schedules
Production or Production Clone
Development
Unit Test
Training
Integration Test
Subset
MaskRelational subset Compare
Refresh
Manage and Optimize Test Data: For Confidence in Your Newly Consolidated Applications
© 2014 IBM Corporation
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IBM Capabilities Enable Best Practices
Manage & optimize test dataInfoSphere
Optim Test Data
Management
InfoSphere Optim
Archive
InfoSphere Information Server
… and InfoSphere Information Server Ready to
Launch for SAP
Market-leading, enterprise-class InfoSphere platform:
Legacy
ERPs
Departmental
ERP
1. Discover
& assess“As-is” “To-be”
2. Retain
the valuable &
dispose of the old
3. Cleanse
data
4. Transform
& deliver
data
5. Manage
& optimize
test data
LOB
applications
© 2014 IBM Corporation
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Derive Maximum Benefit from InfoSphere Platform for Consolidating and Retiring Applications
$68M savings, 1,000+ apps retired
30% time savings vs. manual data migration
Improved annual profits by US $7M
Reducecost and risk
Passed SOX audit with financial record retention
Rule-based archiving and accelerated batch processes
Enhance application quality
Reduced upgrade time by 89%, from 18
weeks to 2 weeks
Reduced data analysis time by 98%
Speedtime to value
Benefit Examples
© 2014 IBM Corporation
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Learn More About Application Consolidation and Retirement from IBM
http://www.ibm.com/software/data/information-integration-governance/use-cases/consolidate-retire.html
http://www.ibm.com/software/data/optim/
http://www.ibm.com/software/data/integration/