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Cognos LUG Meeting - Stations Data Governance Program

Cognos LUG Meeting - Stations Data Governance Program

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    Data Governace Power Point New Data Governace Power Point New Presentation Transcript

    • Data Governance Station Casinos – Pam Mc Daniel
    • What is Data Governance?
      • Station definition of Data Governance:
      • “ Data Governance is the process by which Station will manage the latency, quality, consistency, accuracy, timeliness, and security of its data.
      • Data Governance can only be implemented through an integrated team of Information Technology and Business representatives from both Corporate and Property Operations.”
    • Success Relies Heavily on Senior Management Support
      • The Task is easier with Senior Management support and commitment.
      • Mission:
        • “ To develop a set of processes and organizational structure to ensure that authority to manage data is properly delegated from the senior-most levels of Station to the appropriate parties, and that such parties are held accountable for executing governance policies and procedures. Ultimately, Station will have data that supports any need arising on which to base Business Decisions…”
    • Program Charter
        • Create Program Charter
          • Scope
            • Keep Limited and remember ‘Big Picture’
            • Goal
              • “ To establish Station Casinos as the gaming company with the most accurate, reliable, actionable, and trusted data in the industry”
            • Objectives
          • - Establish a Data Steward committee to review all data
              • - Ensure all new data collected is labeled consistently
    • Program Charter cont.
            • Goal
              • “ Increase data capture throughout enterprise”
            • Objectives
          • - Identify additional system data to be used by end users
          • - Import guest data from source systems
          • - Develop timeline for identification and implementation
            • Goal
              • “ Improve data quality throughout enterprise”
            • Objectives
          • - Establish standardization and verification of data
    • Validation ideas
    • Implement Cognos BI Tool
      • Our Detail Report
    • Management/Trending Reports
    • Drill thru from Property hyperlink to Department
    • Bottom level of drill-thru
    • Train Team Members
      • Create Data Entry Standards Team Member Workbooks for training classes.
      • Create User Guides for Team Members and Management to be E-mailed later.
      • Set up Training Schedule and implement Training
      • Implement accountability
    • In Conclusion
      • We began with an average of 500 error per property
      • Now we average 15 errors per large property and 1 sometimes 2 for small properties
      • Data Governance has been a great success at Stations!!
      • And YES we are still make changes!