Gartner Research

Principles for a New Era in Enterprise Analytics

Published: 04 January 2018

ID: G00351348

Analyst(s): CIO Research Team

Summary

New digital business opportunities involve many new sources of and uses for data across the organization. Stakeholders using this data too often focus on the data itself—the supply—and not on the opportunities driving its collection. Traditional approaches to information management emphasize changes in data volume, the underlying infrastructure that supports it, and management roles. But this approach overlooks what’s really changing in digital business.

Table Of Contents

I. Foster, Don’t Fight, Business-Led Analytics

Principle 1: Nurture Distributed Analytics Teams

What Does It Mean?

Why Are Organizations Doing This?

Lessons from Practitioners

Take Action

Principle 2: Prioritize Collaborative Workflows Over Data Ownership

What Does It Mean?

Why Are Organizations Doing This?

Lessons from Practitioners

Take Action

Principle 3: Bolster Analytical Acumen

What Does It Mean?

Why Are Organizations Doing This?

Lessons from Practitioners

Take Action

II. Lead with Business Opportunities

Principle 4: Prioritize Data According to Business Criteria

What Does It Mean?

Why Are Organizations Doing This?

Lessons from Practitioners

Take Action

Principle 5: Multisource the Analysis but Own the Key Questions

What Does It Mean?

Why Are Organizations Doing This?

Lessons from Practitioners

Take Action

Principle 6: Aim for Adequate, Not Perfect, Data

III. Design for Data’s New Consumers

Principle 7: Track and Reduce Barriers to Data Access

Principle 8: Develop Governance Iteratively

Principle 9: Enable Pragmatic Flexibility of Tools

Conclusion

Recommended by the Authors

About This Research

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