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© 2014 IBM Corporation Application Consolidation and Retirement

Application Consolidation and Retirement

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© 2014 IBM Corporation

Application Consolidation and Retirement

© 2014 IBM Corporation

2

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

?

?

?

?

?

?

??

?

© 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/