Data Oversight

Why Read This Research

Data-driven decision-making requires access to reliable and trusted data. It becomes more challenging as administrative systems become more complex, the volume of data collected increases, and report development becomes decentralized. Institutions can meet these challenges with mature data oversight, or data governance, an institution-wide system of policies and processes that provide appropriate access to clean data. Integrated into a broader data strategy, data governance ensures consistency of reporting on actionable data on a timely basis.

Key Questions Answered

• What are the components of a successful data governance approach?
• Why might staff be resistant to data governance activities?
• How does data privacy fit into data governance planning?

Features

• Software Category in Focus: Data Governance
• Author: Sue Spies, Research Director, Enterprise Information Systems, The Tambellini Group
• Research Availability: December 2020

Table of Contents

1. Executive Summary
2. Introduction
3. Definition of Data Governance
4. Data Governance Activities
5. Limiting Factors and Their Resolution
6. Related Topics
7. Conclusion & Methodology
8. References