Do Universities Dream of Big Data
Historically, the University of Alberta lacked a centrally managed repository for reporting data, resulting in inconsistency and disparity in access for units across campus. Meaningful and actionable reports were limited, and only focused on the interests and goals of the few units with data analysts who could synthesize the information. Over the last couple of years, the University of Alberta has undertaken major changes in how information is managed and utilized. At the forefront of this change has been an increased interest in supporting the development of analytics and supporting tools. Beginning with the implementation of a centrally managed data warehouse with self-service capabilities, and the introduction of cloud services with business process analysis tools, the University is just starting down the road of big data. This presentation explores opportunities and challenges for the University of Alberta in utilizing big data.
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Do Universities Dream of Big Data
- 4. Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it... DAN ARIELY
- 5. consensus
- 6. DATA DRIVEN ENTERPRISE UNIVERSITY DEVELOPMENTS
- 8. volume, velocity, and variety
- 9. “There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days.” ERIC SCHMIDT
- 12. culture RIGHT
- 13. 40% 43%ENTERPRISE INITIATIVE TECHNICAL INITIATIVE NOT SEEING EYE-TO-EYE EAB
- 14. where is the value?
- 15. STRATEGIC use metrics with the high level objectives and look at aggregated results with long time frames.
- 16. TACTICAL use measures focused on shorter time periods (days or weeks) and are used by managers to help meet business targets.
- 17. OPERATIONAL measures are focused on real-time or transaction data with attention on exception alerting.
- 19. highlow low high information and analytical maturity businessvalue IBM INFORMATION ENABLED ENTERPRISE HISTORICAL REPORTING SENSE AND REPORT ANTICIPATE AND SHAPE
- 24. weare here
- 26. ANALYTICS HERO
- 27. ready set DATA
- 28. EXPANDING ON 3 FRONTS AT AN INCREASING RATE mb gb tb pb real time near real time periodic batch table database photo, web, audio social, video, mobile VOLUME VELOCITY VARIETY
- 29. 2000 2005 2011 2013 2014 PEOPLESOFT MOODLE EDRMS GOOGLE DATA WAREHOUSE future
- 30. V olume
- 31. VELOCITY
- 32. reporting and analysis lead to insightful action
- 33. Data Decision Decision Support Action Decision Automation Predictive What will happen? Diagnostic Why did it happen? Prescriptive What should happen? Descriptive What happened? Business Intelligence Business Analytics Human Input Reporting or Analytics GARTNER
- 35. Strategic Analysis and Data Warehouse Office
- 36. 2012 2015 2014 data books via: website source: peoplesoft excel powerpivot via: sharepoint source: acorn tableau workbooks (student) via: tableau server source: acorn via: reporting site add: tableau workbooks (hr & financial
- 39. FALL HEADCOUNT BY NATIONAL STATUS
- 44. not all the pieces are put together.
- 45. integration
- 46. SELF SERVICE
- 48. “There are known knowns. These are things we know that we know. There are known unknowns. That is to say, there are things that we know we don't know. But there are also unknown unknowns. There are things we don't know we don't know.” DONALD RUMSFELD
- 50. DATA DRIVEN ENTERPRISE UNIVERSITY DEVELOPMENTS