Keep pace with constant change through data and analytics
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Intergen Convergence 2017 - The future is here
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Keep pace with constant change through data and analytics
- 1. Keep pace with multitudes of new platforms and cloud services? Keep pace with new entrants to market? Keep pace with the expectat ions of our own staff? Keep pace with customer demands and market expectation s? Keep our data and IP safe whilst keeping pace? The Future is Here
- 2. On the edge … how is the future landing in New Zealand business?
- 4. HYPE CURVE
- 5. HEADING Creating exceptional learning experiences GREAT GRADUATES
- 8. KAURI TREE
- 14. Behavioural Indicators Attendance, Library, Student Learning System, ICT Known Indicators School, NCEA, Deprivation, First in Family, Age, etc LEARNING ANALYTICS
- 15. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 2 3 4 5 6 7 8 9 10 11 12 AverageWeeklyAttedanceRate Semester week Series1 Series2 Series3 Series4 Series5 CLUSTER: ATTENDANCE RATE
- 21. MACHINE LEARNING
- 23. LEARNING FROM AUT AI still in early stages, but the ROI is well worth the risk Transformation starts with your data estate How will this change your business model? Be playful, experiment, learn and repeat – measure always It’s not a one-off project, value comes from sustained effort
- 24. HOW WE DO STUFF Documentation No MS Word White boarding Prototype Data Dictionary/MDS Self-documenting tools TFS & Daily Standup Exception Reporting BI on BI WIP Wiki Vision Vision not a Roadmap Little Governance Leading Edge Early adopters Avoid being too risk- adverse We want all the data Maximise usage Strategy Selling + Sponsorship VC and SLT We are everywhere ‘Powered by the Data Warehouse’ Reportal TV Regular Stories Outputs that look great Paid Work Speed To get the deal Extreme Agile No Project Managers Release 2-3 Weeks BI on a separate development path Templates QA done by SME Disruptive Competition Compelling Projects Easy wins first React to the business Don’t ‘log a job’ Use what’s free It’s not just about reports Find experts Innovation Time