SUNZ 2011 - Evan Stubbs - SAS democratization of analytics

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  • SUNZ 2011 - Evan Stubbs - SAS democratization of analytics

    1. 1. The Democratization of Analytics<br />Evan Stubbs<br />
    2. 2. Today’s key points<br />More than ever, analytics is strategic and valuable<br />The role of the analyst is changing<br />Everyone being able to do analytics is a good thing<br /> * As long as it’s appropriately managed<br />
    3. 3. Statisticians are sexy now<br />“I keep saying the sexy job in the next ten years will be statisticians. People think I'm joking, but who would've guessed that computer engineers would've been the sexy job of the 1990s?”<br />- Hal Varian<br />
    4. 4. Photo: Christian Holmér<br />The winds ofchange …<br />The line it is drawnThe curse it is castThe slow one nowWill later be fastAs the present nowWill later be pastThe order isRapidly fadin'.And the first one nowWill later be lastFor the times they are a-changin'.<br />- Bob Dylan<br />The world is closing inDid you ever thinkThat we could be so close, like brothersThe future's in the airI can feel it everywhereBlowing with the wind of change<br />- The Scorpions<br />
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    12. 12. The power of change<br />Change is eternal<br />Change is inevitable<br />Change is constant<br />We need to grow with this change<br />
    13. 13. Analytics is becoming a team sport.<br />
    14. 14. What is business analytics?<br />When provided with the IDC definition of business analytics software, less than one-third of respondents (32%) rated themselves as extremely or very familiar with the product category, and only 10% rated themselves extremely familiar.<br />Source: Defining Business Analytics and Its Impact on Organizational Decision-Making<br />Computerworld Customer Survey<br />
    15. 15. A simple definition …<br />Analytics:<br />“ … any data-driven process which provides insight.”<br />Business Analytics:<br />“ … leverages all forms of analytics to achieve business outcomes … through requiring:<br />Business relevancy<br />Actionable insight<br />Performance management and value measurement”<br />
    16. 16. Democratisation:Giving Access to All<br />Establish focused interfaces to support varying skills levels<br />Increase automation and “system smarts”<br />Extend model development to all parts of the organisation<br />Preserve model and process transparency<br />Ensure analytical quality control<br />
    17. 17. The perception of business analytics is changing …<br />
    18. 18. But teams still face common challenges!<br />
    19. 19. Inevitably, teams need to create value<br />The External Value Chain:<br />Value Creation<br />The Internal Value Chain:<br />Optimizing Execution<br />
    20. 20. Activities and algorithms<br />
    21. 21. Value creation for the organization<br />
    22. 22. And finally, the creation of sustainable competitive advantage<br />
    23. 23. Every tool has its place …<br />
    24. 24. The way things were<br />Advanced analytics is the domain of the specialist<br />Roles are based on technical knowledge<br />Analytics and reporting are different<br />Insight is the goal<br />
    25. 25. The way things are moving …<br />Everyone applies advanced analytics<br />Roles are based on competency and experience<br />Business analytics is about all analytics<br />Outcomes are the goal<br />
    26. 26. Why is this a good thing?<br />It reinforces competitive advantage<br />It focuses on creating value<br />It increases the importance of knowledge within the organisation<br />It more effectively manages risk<br />
    27. 27. SAS Rapid Predictive Modeler<br />Part of Enterprise Miner<br />Accessible through Enterprise Guide and the SAS Add-in for MS Office 4.3 (Excel only)<br />
    28. 28. Enabling everyone to deliver advanced insight<br />
    29. 29. Canada Post:Analytically-based competitive advantage<br />Established an analytics Center of Excellence<br />Established competencies<br />Went from 6 months of history to 30<br />Cut time to insight from 30 minutes to 15 seconds<br />Maintained profitability and revenue growth<br />
    30. 30. Bank of America:Highly scalable analytics<br />Manage risk<br />Reduced run-time from 96 hours to 4<br />Cut processing time by 90%<br />Reduced scoring time from 3 hours to 10 minutes<br />Increased accuracy of loss forecasting<br />

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