Integrating Mainframe Data at the Speed of Your Business. Scott Hagan Senior Product Manager

Transcription

1 Integrating Mainframe Data at the Speed of Your Business Scott Hagan Senior Product Manager 1

2 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 2

3 Will the our Batch processing complete on time???? 3

4 What problems are you facing in your job? Conflict between must and needed Not enough time in the day Lack of Expertise in domain specific areas Pressure of application availability Smarter Data Movement Lack of resources for all the work 4

5 Challenges Facing Mainframe Organizations 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 5

6 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. 6 6

7 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) Batch Trickle Feed Real-Time High-performance optimized environment 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 7

8 Integrating Mainframe Data 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 Integration with the Mainframe PowerExchange and PowerCenter 8

9 PowerExchange - Change Data Capture Creation and Detection of Business Events SOURCES Relational, mainframe, midrange databases Multiple modes Batch (for initial materialization) Net change Continuous capture PROJECTS Real Time Data Warehousing Operational data integration (ODI) Master data management (MDM) Trickle-feed data warehousing Data replication/synchronization Informatica Data Integration Platform PowerExchange CDC Option PowerCenter Real Time Edition PowerExchange 9

10 PowerExchange CDC Architecture Operating Environment Tools Mainframe ADABAS DATACOM DB2 IDMS IMS VSAM Published Interfaces Collector Change Stream OR Virtual Change Stream Listener Data Records SQL (ETL, EAI, BI) Informatica PowerCenter Informatica PowerExchange Mid-Range DB2/400 DB2/LUW Oracle SQL Server Registration Data Maps Other Tools 10

11 Change Data Capture Use Cases Business Agility Modernize Business Reduce Costs Improve Decisions Mitigate Risk Operational Efficiency Eliminate Decline Grow Legacy Retirement Data Migration Mainframe Offloading Data Replication / Synchronization, SOA Server Consolidation Data Consolidation 11

12 Informatica Case Study Mainframe Offloading Legacy transportation mainframe system PowerCenter ODS Reporting and Analytics Customer and Service Portal PowerExchange The Challenge The Solution The Benefits 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 12

13 EVERTEC installs data hub for profitability analysis, customer segmentation, and cross/up-sell ref123 KEY BUSINESS IMPERATIVE IT INITIATIVE BPO/SaaS DATA INTEGRATION PROJECT Data Synchronization THE CHALLENGE Outsource Non-Core Functions Provide single, consistent view of customer to all delivery channels (Internet banking, ATMs, voicerecognition phone system, agent-assisted call centers, and branches) of major bank Deliver outsourced synchronization service for major bank INFORMATICA ADVANTAGE RESULTS/BENEFITS 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 Support for customercentric ODS data hub Highly scalable and available data integration infrastructure Exceptional ease of use Reduced development time 70% Greatly improved customer satisfaction Created reusable integration platform across multiple service engagements 13

14 Virgin Media Consolidates Post Merger Customer Data for Profitable Synergy KEY BUSINESS IMPERATIVE Merger & Acquisition IT INITIATIVE Application Consolidation DATA INTEGRATION PROJECT Data Consolidation 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 Consolidate 20 billing and customer data systems on AS/400 Extremely aggressive go-live timeline INFORMATICA ADVANTAGE Near-universal data access Cost-effective scalability Proven track record with Telewest on reporting project RESULTS/BENEFITS Reduced customer data sources from 20 to 1 Delivered 1.5bn NPV (projected by 2009) Implemented in a rapid 7 months 14

15 Addressing the Problems Business Demands for Timely Data Real Time Connectivity to Mainframe Source Data Delivery tailorable based on Business Requirements Capture Data Once, Read Many Supports Varying Requirements Innovation or Keep the Wheels Turning 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 Data transaction volumes increasing 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 15

16 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 16

17 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 17

18 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? 18

19 Don t Lose Any More Sleep! The answer to your 24 hour batch window is Change Data Capture More information in Maximize the ROI of Your Mainframe Data White Paper Change Data Capture: Driving Results with Event Driven Data White Paper 19

20 Q & A 20

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