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Overcoming the 5 Biggest Challenges in Data Mart Consolidation

Discussing the steps you can take now to migrate and consolidate low performing data marts – each with their own data models - onto a new high-performance platform managed by a high quality data foundation for analytics that both business and IT can use.

Watch the webinar replay at www.kalido.com/5-challenges-of-data-mart-consolidation.htm

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Overcoming the 5 Biggest Challenges in Data Mart Consolidation

  1. 1. Overcoming the 5 Biggest Challenges in Data Mart Consolidation Kalido Webcast January 31, 20121 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  2. 2. Logistics Attendees will be on mute for the call Type your questions into the Questions box Webcast is being recorded and will be available for replay Request a copy of today’s slides by sending an email to: marketing@kalido.com Join the conversation online by using the #Kalido hashtag. Follow us @kalido !2 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  3. 3. Today’s Speakers John Evans Director of Product Marketing, Kalido Patrick Mullins Master Principal Sales Consultant, Oracle Lovan Chetty Senior Manager, Product Management, Kalido3 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  4. 4. Discussion Topics Data Mart Consolidation Issues The 5 Challenges How Kalido and Oracle Exadata Enable Data Mart Consolidation Q&A4 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  5. 5. Why Data Mart Migration & Consolidation? Data marts are expensive and spread across the organization – 59% of companies maintain up to 30 data marts – $1.5 – $2 million annually to maintain a single mart – 35% – 70% of those costs are redundant Customers can improve information consistency, create more complete analytics and save moneyCIOs should be aware that data marts will emerge continuously in theorganization. They should advise the business intelligence and datawarehouse teams to plan for ongoing data mart consolidation and demandthat a strategy for accomplishing it is in place. -- Gartner, Data Warehousing Trends for the CIO, 2011-20125 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  6. 6. Traditional Warehousing Takes Too Long Business ValueTraditional Time to Deliver 6 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  7. 7. Shorten the Cycle, Maximize Business Value Business Value Kalido Business Value Benefit Time to Value BenefitTraditional Time to Deliver 7 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  8. 8. Mart Consolidation Options: Lift and Shift Migrate existing marts onto a high performance platform Same poorly- Improve query speed and constructed and end-user response time inflexible marts, just Manage increasing volumes running on a faster of existing data platform8 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  9. 9. Mart Consolidation Options: Integrate into EDW Migrate existing marts onto a high performance platform Same poorly- Improve query speed and constructed and end-user response time inflexible marts, just Manage increasing volumes running on a faster of existing data platform Use traditional tools and approach to merge marts Significant time to analyze No value delivered and re-architect for months or longer Diversity of marts can lengthen time to build9 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  10. 10. Ideal Approach to Mart Consolidation Migrate existing marts onto a high performance platform Use agile tools and approach to merge marts Consistently deliver Exploit existing assets to business value as you accelerate reverse engineering build the Focus on solving business warehouse, retiring problems, not overcoming technical hurdles marts as you go, on an Improve query speed, end- agile foundation for user response and load time future growth Manage increasing volumes of existing and new data10 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  11. 11. Top 5 Challenges Reusing existing mart assets and refactoring the model Untangling all the data integration connections Data duplication between and within marts Referential integrity Controlling costs and preparing for change The number of data migration and conversion projects is on the increase as organizations focus on IT modernization, cost optimization and merger/acquisition initiatives. -- Gartner, Risks and Challenges in Data Migrations and Conversions11 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  12. 12. New Modeling & Design Improvements Exploits your current logical and physical models and taxonomies to build a new more agile data warehouse Enables reverse engineering Converts technical names and labels to business- friendly terms – Leverages existing business glossary and abbreviations document12 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  13. 13. Demo13 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  14. 14. What You Will See Read a physical model from an existing data mart Refactor the model into a business information model Deploy the model Initial population of the model from existing data mart14 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  15. 15. Kalido Enables Delivery In 90 Days or Less Modeling Data Integration Star and Snowflake Schema Data Sourcing and Field Mapping Code Management and Lookup Testing Physical Schema Management Delta Detection Suspense and Exception Handling Built-in Integrity Checking Slowly Changing Dimensions Data Validation Currency and Units of Measure Aggregate Task Results System Key Management Contra Processing Data Mart and Aggregates Excel Integration for User reconciliation Data Export & Purging Post Processing HousekeepingData Load and Index Management Data rollback and batch reload for system test Rollup Path Awareness User Interface for data browsing & Business Information Model Driven Automation troubleshootingIncremental Summary Generation Convert Existing Logical Models Name & Label Management Release to Production Version Management BI Delivery Object level Change Management Native QlikView GenerationNative XLS Pivot Table Generation Model Migration Operations Generic Export/ Import for Data MigrationMetadata Management for COGN Task Execution & Monitoring Process AutomationMetadata Management for BOBJ Object Level Dependency Deployment and Migration Archiving for Migration VersionsMetadata Management for MSAS Restore for Model and Data Undo Loads Model Comparison ReportReport-Time Formula Management Audit and Logging Job Definition with Dependency 15 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  16. 16. Oracle Exadata Support Combines Kalido’s business-driven automation with Exadata’s extreme data warehousing performance Tuned and optimized out-of-the-box Record performance for Kalido on any platform to date – 4 to 50 times faster vs. traditional relational databases – Significantly faster than other high- performance platforms Unparalleled time-to-value for any data warehouse project16 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  17. 17. Oracle Exadata Database Machine One architecture for… • Data Warehousing • OLTP • Database Consolidation Exadata is Oracle’s strategic database platform for ALL Oracle Database workloads17 | © 2011 Oracle Corporation |
  18. 18. Exadata Architecture A complete system: compute, storage, networking • Database Cluster – Intel-based database servers – Oracle Linux or Solaris 11 – Oracle Database 11g – 10 Gig Ethernet (to data center) • Storage Grid – Intel-based storage servers – Up to 504 terabytes raw disk – 5.3 terabytes Flash storage – Exadata Storage Server Software • InfiniBand Network – Internal connectivity ( 40 Gb/sec )18 | © 2011 Oracle Corporation |
  19. 19. Exadata Innovations• Intelligent storage • Hybrid Columnar Compression – Scale-out InfiniBand storage – 10x compression for warehouses – Smart Scan query offload – 15x compression for archives uncompressed + + + Data remains compressed compress• Smart PCI Flash Cache for scans and – Accelerates random I/O up to 30x in Flash primary DB – Triples data scan rate Benefits Cascade to Copies standby dev test backup 19 | © 2011 Oracle Corporation |
  20. 20. SQL Query Throughput 75 Query Throughput Gigabytes per Second 25 11 * 50,000 1,500,000 9 IOPS IOPS (I/Os per second) 6 2.5 IBM XIV NetApp 6080 IBM DS8700 Hitachi USP V EMC VMAX Exadata Disk Exadata Flash * Undisclosed by vendor20 | © 2011 Oracle Corporation |
  21. 21. Exadata Delivers Extreme Consolidation • Large Memory – Many databases can be consolidated • Extreme Performance – OLTP, DW, data mining, batch, reporting, loading, backups, files in the database – Encryption, compression • Workload Management – Manage SLAs via Quality of Service (QoS) – CPU and I/O resource management – Instance caging Shrink data center costs, increase system utilization and promote application integration21 | © 2011 Oracle Corporation |
  22. 22. Pre-built and Optimized Out-of-the-Box 100% Custom Configuration Test & debug failure modes Performance Achievement Performance Achievement Measure, di agnose, tun e and Multi- Assemble reconfigure vendor dozens of finger components pointing Time Time (Days) (Months)22 | © 2011 Oracle Corporation |
  23. 23. The Exadata Difference Exadata DB Machine Custom Configuration  Storage scans & filters data Storage just ships blocks  Storage offloads DB* DB-unaware storage 168 CPU  Flash caches relevant data No DB-aware flash managementcores instorage  40 Gb/sec network 8 – 10 Gb/sec network  Pre-built for DB workload Assembled by customer  Redundancy built-in Build-your-own HA  Compression built-in Compression optional  Workload mgmt built-in Workload mgmt optional * Backups, compression, decryption, data mining Exadata is not a general-purpose system, it’s a Database Machine23 | © 2011 Oracle Corporation |
  24. 24. Customer Overview Mid-sized health insurance payer Faced with rising health plan costs Reduce costs through improved analysis Dramatically increase both the scale and performance Extensibility, seamless migration and compatibility with existing 11g-based data warehouse More effective data management related to members, providers and claims24 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  25. 25. Top 5 Challenges Met Reusing existing mart assets and refactoring the model Untangling all the data integration connections Data duplication between and within marts Referential integrity Controlling costs and preparing for change25 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  26. 26. Shorten the Cycle, Maximize Business Value Business Value Kalido Business Value Benefit Time to Value BenefitTraditional Time to Deliver 26 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  27. 27. Enable Faster and Easier Data Mart Migration Traditional Data Warehouse Approach Kalido Time To Value Zone Time & Money Source: customer benchmark27 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  28. 28. Key Benefits from Mart Migration/Consolidation Benefits for IT Users – Better control and governance over analytics across the organization – no “shadow IT” – Accelerates data mart consolidation – Better responsiveness to business needs – Reduces TCO Benefits for Business Users – Improved business decisions through enhanced consistency of information – Significantly improved ability for the business to respond to change – Accelerates the drive to become an agile business28 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  29. 29. Q&A29 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  30. 30. Next Steps Attendees will receive our whitepaper on “The Next Generation of Data Integration for Data Warehousing” Learn more about Kalido on Exadata at Independent Health – tune in to webcast on February 7 at 11am Eastern http://info.kalido.com/healthcare_webinar.html Download Kalido Business Information Modeler http://www.kalido.com/business-modeling-community.htm Read our blog about Kalido Information Engine http://blog.kalido.com/category/information-engine/ Contact us! +1.781.202.3200, press 130 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012
  31. 31. Thank you for attending!31 February 15, 2012 Kalido © I Kalido Confidential I February 15, 2012

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