Originally Published: Feb 04, 2015 Multiple, disconnected systems or an outdated application infrastructure can negatively impact your business and increase your costs. Consolidating applications, retiring outdated databases and modernizing systems can streamline your infrastructure and free resources to focus on important new projects.

1. © 2014 IBM Corporation
Application Consolidation and Retirement

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Agenda
Big data challenges
Why consolidate and retire applications?
The payoff from doing it right
The requirements
The IBM solution

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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
2009
800,000 petabytes
2013
4 zettabytes
2020
35 zettabytes
Velocity
Volume

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Most organizations spend
of their budgets
just keeping the lights onIDC: Application Provisioning: Application Portfolio
Rationalization — Consolidation and Retirement Strategies
Nov 2013

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Streamlining Application Infrastructure Frees Budget and Resources
for New Initiatives
BIG DATA &
ANALYTICS
SOCIAL BUSINESS
ENTERPRISE
MOBILITY
CLOUD COMPUTING
€ €
¥ ¥

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ITDrivers
BusinessDrivers
Competitive
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

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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?

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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

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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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?
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?
?
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?

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Retain Valuable Data and Dispose of Old Data
Use 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

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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

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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

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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
 Mask
Relational subset  Compare
 Refresh
Manage and Optimize Test Data: For Confidence in Your
Newly Consolidated Applications

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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

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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
Reduce
cost 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%
Speed
time to value
Benefit Examples

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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/