Data Flux

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Data Flux

  1. 1. “The Journey to Trusted Data” Saul Cunningham DataFlux ANZ General Manager 10 March 2011
  2. 2. Welcome Saul Cunningham Managing Director, DataFlux ANZ2
  3. 3. Where are you on your data journey? 3
  4. 4. Planning is the Key 4
  5. 5. The Evolution of Data Awareness 5
  6. 6. The Current State of Data ManagementThe top four potential barriers to coordinating data management initiatives 6
  7. 7. The Data Disconnect 7
  8. 8. Understanding the GapIT Drivers for Data Management Business Drivers for Data Management•Back Office Applications •Front Office Applications•IT Infrastructure •Customer Oriented•Operational Efficiency •Revenue Generation•Proven Technologies •Leading Edge Technologies•Methodical in Approach •Process Oriented 8
  9. 9. Closing the GapIt’s a question of ownership It’s a question of sponsorship•Business owns the processes •Organisations can place a value on•IT owns the systems almost all assets (buildings, machinery, employees, bandwidth) •Data is, at its core, viewed by the business as a by-product of IT assets It’s a question of technology adoption •Traditional data management capabilities are lacking •Right technology at the right time
  10. 10. The Data Governance Maturity Model Sales Force Data Warehouse Customer MDM Business Process Automation Product MDM Automation ERP Materials MDM Database Marketing Employee MDM CRM Asset MDM MDM IT-driven Line of business IT and business Business projects influences IT projects groups collaborate requirements drive IT projects Duplicate, Little cross-functional Enterprise view of Repeatable, automated inconsistent data collaboration certain domains business processes Inability to adapt to High cost to maintain Data is a Personalized customer business changes multiple applications corporate asset relationships and optimized operations
  11. 11. Establish Repeatable Processes
  12. 12. Our MissionYour Data. Your Business. One Solution.DataFlux enables business agility and IT efficiency by providinginnovative data management technology and services thattransform data into a strategic asset.
  13. 13. DataFlux - Proven Market Leader in DataManagement• Recognised as a leading provider of data quality, data integration and MDM solutions• Over 2300 customers worldwide• Been in the leadership position within the Gartner DQ MQ since 2006• Single home grown platform providing DQ, DI and MDM capabilities• Wholly owned subsidiary of SAS
  14. 14. DataFlux – one solution with broad application acrossyour business“It’s like having a “Swiss Army knife” suite of toolsto characterise, clean, integrate and monitor thequality of BP’s data.”Ken Dunn (BP Data Architecture Manager) 14
  15. 15. Scenario 1: Business Reporting Data WarehouseBusiness Intelligence? The “classic” use of Data Quality? Access and integrate data in batch & real-time for DW / DW / analytics DM DM? Apply Data Quality business rules to ensure trusted data for reporting - improve User confidence in the Batch DQ data DataFlux DQ Platform Real-time DQ Data Data Legacy Legacy Mart Mart Systems Systems Application Systems
  16. 16. Scenario 2: Business Process ImprovementEnsuring quality information at User interface? Improve data quality at the “Point of data entry” into your Enterprise Applications? Eliminates duplicate data entering the system? Data quality management over the life of an ERP/CRM system DataFlux DataFlux Quality Quality Firewall Firewall Business Users DataFlux DQ Enterprise Enterprise Platform Applications Applications
  17. 17. Scenario 3: Reduce Risk in Data MigrationsData Migrations? Migrate cleansed and standardised legacy application data into new or upgraded Enterprise Application? Reduce risk and ensure timely delivery of application go-live? Monitor DQ issues during Data Migration process to increase confidence for key stakeholders ERP/ ERP/ CRM CRM DataFlux DQ Platform Legacy Legacy Systems Systems New Enterprise Legacy Systems Application
  18. 18. Scenario 4: Data Governance process Data Governance Enterprise Apps ? Meet compliance requirements with ability to trace and audit data ? Consolidate enterprise data to establish a single version of customer, product or employee Business Users DataFlux DQ PlatformLegacyLegacySystemsSystems Application MDM Systems
  19. 19. Questions?
  20. 20. • Improve Business User productivity with ease of use and process reuse and sharing for collaboration • Helps Users make decisions with confidence using trusted information • Flexibility to scale from small pilot projects to enterprise-wide deployments • Reduce costs and Total Cost of Ownership with a single easy-to-use product solution • Flexibility to support multiple data types and emerging technologies such as SOA and Web Services
  21. 21. Conceptual View of Master Data Management Data Profiling Apex Equipment Pty Ltd | Newcastle Apex Equipment Pty Ltd | Newcastle Metadata Discovery Apex | Newcastle, New South Wales Apex | Newcastle, New South Wales Business Rule Definition Entity Definition Bat ch | e Data Rea -Tim Call Center l - Tim |R eal Warehouse e ch Bat Apex Equipment & Construction, Pty Ltd | Newcastle NSW 2300 Apex Equipment & Construction, Pty Ltd | Newcastle NSW 2300 Bat ch me | -Ti Rea l eal - Tim SFA tch |R e ERP Ba Data Integration Data Quality Data Model Business Services Stewardship Console Business User InterfaceApex Equip & Const | Newcastle NSW Data GovernanceApex Equip & Const | Newcastle NSW Apex Construction | Newcastle NSW Apex Construction | Newcastle NSW Identity Management Reporting

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