1. Next Generation Analytics Donald M. Norris and Paul Lefrere, Strategic Initiatives, Inc.

2. Next Generation Analytics The Future of Analytics Solutions for Higher Education Framing Action Analytics – The Analytics Diamond Policy-relevant Analytics Internationally-competitive Analytics Data Discovery, Mash-ups, Social Networks Upgrading Analytic Methods and Insights

3. The Future of Analytics Today Tomorrow High-cost business intelligence Power users do analytics for end users and decision makers Users must wait for analytics, static format and content Centralized control of all phases of analytics Power users sole source of analytics expertise Narrow skills of front-line staff Institutional data sets Power users do most analyses Value analytics for the masses Power users perform specialized analytics, end users deploy user friendly tools Immediate results, dynamic analysis, changing parameters Enterprise-wide infrastructure and data governance, decentralized analytics and mash-ups Analytics expertise dispersed throughout the organization Broader skills of front-line staff Broader data sets, K-20 and fused work and learning data sets Differentiation across institutions, shared services

4. Solutions for Higher Education Value analytics: quick wins, sustainable advantage Embrace social networking and analytics A solutions marketplace in transition: vendor acquisitions, consolidation, and merger; the Stack and the cloud Start with what you have: Build, buy, and mashup Analytics-for-every-person tools, application integrators, desktop tools

5. 3. Framing Action Analytics

6. Policy-relevant Analytics Data from Everywhere Social networking Sense-making, Evidence- based decisions Citizen Empowerment Rising Expectations Observatories/Repositories (Track Success/Failure, Best Practice/Value)

7. Internationally-competitive Analytics Where to look, what to look for, Bologna (eg, recruiting international students who will succeed) Developing dashboards for each applicant –On track for each task facing them? –Do they have access to all the resources they will need to complete what they start? Examples from Europe

8. Data Discovery, Mash-ups, Social Networks Data Discovery, eg look for patterns that reveal students/faculty who discover “Threshold Concepts” – powerful insights into troublesome subject areas, that can transform student understanding, see eg http://www.prodait.org/learning/threshold.php http://www.prodait.org/learning/threshold.php Analytics Mash-ups, to cut across silos, save time Smarter ways to Map and Sustain Social Networks, eg, to smooth the path for under-represented groups of students (next-generation forms of help in the recruitment and retention of those students)

9. In Conclusion: What Next? Upgrade Analytic Methods to yield Affordable and Flexible ways to meet emerging needs and to anticipate new needs Program for Discovery Analytics and related Mash-ups? Instrumenting Education? Integrate Analytics in Social Networks as they evolve into Shared-Knowledge Networks?