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Introduction

Educational institutions are not short of data. At the same time, most are "insight poor." The challenge is to turn their data into reliable information that can be used to make sensible academic and business decisions.

Highlights

  • In recent years, several significant external trends have fundamentally changed the analytics capabilities cost-effectively available to institutions.

Features and Benefits

  • Gaining effective insights from institutional data requires a culture that supports the sharing of contextual information, not just technological solutions.
  • Converging multiple disconnected data sources into a "single source of truth" moves the debate on from the veracity of the data to addressing the underlying institutional challenge.

Key questions answered

  • What are the key trends influencing analytics for today's institutions?
  • How can higher education institutions realize the benefits of data analytics?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for institutions
  • Recommendations for vendors

The challenges facing institutions

  • A culture of academic sharing often contrasts with administrative data silos
  • Multiple systems with multiple data sets
  • Analyzing data is tough – and choice can be paralyzing
  • Students want their information shared – but only sometimes

Realizing the benefits of data analytics in higher education

  • Nurture a culture of institution-wide information sharing
  • Empower the educational domain experts
  • Use templates and guidance to reduce "paralysis of choice"
  • Make decisions "on any device, anytime, anywhere"
  • Robust data governance requires easy administration
  • Use analytics to integrate data silos
  • Using as-a-service (cloud) solutions is a "no regrets" opportunity

Appendix

  • Further reading
  • Author

Recommended Articles

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