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

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