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Integrating Mainframe Data at the Speed of Your Business

Scott Hagan

Senior Product Manager

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Agenda

• What keeps you awake and distracted

• Challenges faced by mainframe organizations

• Why do Real Time Data Integration

• How customers doing it

• How to get there

• Things to look for in a solution

• Q&A

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Will the our Batch processing

complete on time????

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What problems are you facing in your job?

Conflict

between “must”

and “needed”

Pressure of

application

availability

Lack of Expertise in

domain specific

areas

Not enough time in

the day

Smarter Data

Movement

Lack of

resources for

all the work

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• Data transaction volumes

increasing

• New apps/workloads driving

MIPS growth

• Business demands for timely

data

• Batch windows are nearly non

existent

• IT budgets shrinking

• Innovation or Keep the Wheels

Turning

• Real Time data is a top priority

with 92% of those surveyed

saying they’ll be there within 3

years

Challenges Facing Mainframe Organizations

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Why the rush to real-time data processing?

• It’s a foundation for time-sensitive

business practices:

• Operational business intelligence (OpBI)

• On-demand management dashboards

• Real-time alerts to managers

• Feed federated data marts from EDW

• Just-in-time inventory

• Facility monitoring and analysis

• Self-service information portals

“Time is money.”

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Increasing Business Agility with Near Real Time Mainframe Data Integration Single Platform to Process Information at Any Latency

• Single, scalable execution engine for any latency

• Right-time information availability

• Batch

• Near real-time/Trickle-feed/CDC

• Real-time (WS, MOM)

• High-performance optimized environment

Trickle Feed Batch Real-Time

“Informatica PowerExchange Change

Data Capture enables our customer

data store to evolve incrementally in

real time to ensure that we always

have access to timely and accurate

customer data.“– WBMI

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Integrating Mainframe Data

Integration with

the Mainframe

PowerExchange

PowerCenter

• PowerExchange unlocks complex mainframe

data

• Codeless extraction without legacy expertise

• Simplifies integration of incompatible files & structures

• PowerExchange makes data available at the

“right time”

• CDC allows real-time or incremental delta integration

• PowerExchange provides enterprise performance

• PowerCenter

• Simplifies transformation of data

• zLinux option for mainframe-centric shops

and

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PowerExchange - Change Data Capture Creation and Detection of Business Events

PROJECTS

• Real Time Data Warehousing

• Operational data integration (ODI)

• Master data management (MDM)

• Trickle-feed data warehousing

• Data replication/synchronization

SOURCES

• Relational, mainframe, midrange

databases

• Multiple modes

• Batch (for initial

materialization)

• Net change

• Continuous capture

Informatica Data Integration Platform

PowerExchange

CDC Option PowerExchange

PowerCenter

Real Time Edition

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Tools

(ETL, EAI, BI)

PowerExchange CDC Architecture

Registration Data Maps

Change Stream OR

Virtual Change Stream

Informatica PowerCenter

Informatica PowerExchange

Other Tools

Data Records C

ollecto

r

Listen

er SQL Published Interfaces

Mainframe

ADABAS

DATACOM

DB2

IDMS

IMS

VSAM

Mid-Range

DB2/400

DB2/LUW

Oracle

SQL Server

Operating Environment

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Change Data Capture Use Cases

Eliminate

Legacy Retirement

Data Migration

Decline

Mainframe Offloading

Data Replication /

Synchronization, SOA

Grow

Server Consolidation

Data Consolidation

Reduce

Costs

Business

Agility Modernize

Business

Improve

Decisions

Operational

Efficiency

Mitigate

Risk

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Informatica Case Study Mainframe Offloading

• Inability to synchronize real

time customer information

• Reliance on expensive custom

coded interfaces to mainframe

• Lack of scalable framework for

leveraging data

• Non-invasive mainframe

access without coding

• Change data capture

• Scalability to handle current

and future data volumes

• Decreased latency in capturing

50 million data changes daily

• Reduced mainframe CPU costs

and improved performance

• Control mainframe outsourcing

fees by avoiding extraneous

mainframe cycles

The Challenge The Solution The Benefits

Reporting and

Analytics

Legacy transportation mainframe system

ODS PowerCenter

PowerExchange

Customer and

Service Portal

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• Support for customer-

centric ODS data hub

• Highly scalable and

available data integration

infrastructure

• Exceptional ease of use

Outsource Non-Core Functions

KEY BUSINESS IMPERATIVE

INFORMATICA ADVANTAGE RESULTS/BENEFITS

• Provide single, consistent view of customer to all

delivery channels (Internet banking, ATMs, voice-

recognition phone system, agent-assisted call

centers, and branches) of major bank

• Deliver outsourced synchronization service for major

bank THE CHALLENGE

IT INITIATIVE

BPO/SaaS

EVERTEC installs data hub for profitability analysis, customer segmentation, and cross/up-sell

• Project to channel data

from 14 legacy apps on

IBM VSAM and DB2 to

operational data store

• Need for single view of

customer in real time

• 3M records a day to be

synchronized

• Reduced development

time 70%

• Greatly improved

customer satisfaction

• Created reusable

integration platform

across multiple service

engagements

DATA INTEGRATION PROJECT

Data Synchronization

ref123

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• Near-universal data

access

• Cost-effective scalability

• Proven track record with

Telewest on reporting

project

Merger & Acquisition

KEY BUSINESS IMPERATIVE

INFORMATICA ADVANTAGE RESULTS/BENEFITS

• Consolidate customer data management systems

following mergers of ntl (4M customers), Telewest

(1.6M customers), and Virgin Mobile (2M customers)

• Leverage immediate advantages of M&A

THE CHALLENGE

IT INITIATIVE

Application Consolidation

Virgin Media Consolidates Post Merger Customer Data for Profitable Synergy

• Consolidate 20 billing

and customer data

systems on AS/400

• Extremely aggressive

go-live timeline

• Reduced customer data

sources from 20 to 1

• Delivered £1.5bn NPV (projected by 2009)

• Implemented in a rapid 7

months

DATA INTEGRATION PROJECT

Data Consolidation

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Addressing the Problems

• Real Time Connectivity to Mainframe Source Data

• Delivery tailorable based on Business Requirements

• Capture Data Once, Read Many Supports Varying Requirements

• Innovate by providing abilities above and beyond the Business Owners Requirements

• Position yourself for the ability to adapt quickly to an ever changing landscape

• Add support for new Apps or sources quickly

• Real Time moves the Data in a trickle mode, no large batches to accumulate

• As you grow the feed has room to grow with you

• Can separate the processes to optimize throughput

Data

transaction

volumes

increasing

Innovation

or Keep the

Wheels

Turning

Business

Demands for

Timely Data

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Surpassing Expectations

Enhance business agility

• Improve system uptime by eliminating batch update windows

• Reduce costs by lowering MIPS usage

Enhance the ability to cost effectively scale

• Quick and easy deployment

• Accelerate development cycles

Ensure reliability and reduce risk

• Secure native real time access

• Mitigate programming errors

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How Do We Get There???

• Understand your requirements

• Latency needs

• Which sources need to be real-time

• Interview the Business Owners

• Determine which existing components can be reused

• Transformations

• Logic

• Targets

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Things to Look for in a Solution

Integrating mainframe data into your business decision-making applications

isn’t optional, but it doesn’t have to be painful. To make the process as

smooth and simple as possible, you need to choose the right integration

method and soluti0n set.

• Does it provide standard native connections to each data source?

• Is the data delivery consistent across each source?

• Does the toolset provide access to all the major sources on the

mainframe?

• Does the tool support most of the typical mainframe data stores (DB2,

VSAM, IMS, IDMS, etc.)?

• Does the tool require proprietary communication protocols or does it use

standard TCP/IP?

• Does the toolset furnish the most critical latency options?

• What are the performance characteristics of the toolset?

• Does the toolset supply an end-to-end restart/recovery facility?

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Don’t Lose Any More Sleep!

The answer to your 24 hour batch window is

Change Data Capture

More information in www.informatica.com

• Maximize the ROI of Your Mainframe Data – White Paper

• Change Data Capture: Driving Results with Event Driven Data – White Paper

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Q & A

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