White paper

Seven Steps to Effective Data Governance

Business Intelligence
Participating Company: 
Information Builders

Data governance is not just about technology. It’s about people taking responsibility for the information assets of their organization by looking at the processes they use to interact with information as well as how and why it’s being used.


Creating a framework to ensure the confidentiality, quality, and integrity of data – the core meaning of data governance – is essential to meet both internal and external requirements, such as financial reporting, regulatory compliance, and privacy policies. At its best, data governance roots out risk – both business and compliance risk – by increasing oversight. It enables organizations to integrate and consolidate information from vertical and horizontal lines of the business into a single source of truth, providing economies of scale and making it possible to effectively tie information policy to business strategy.


Although the need for data governance has never been greater, initiatives in many organizations have become bogged down in bureaucracy, and other organizations have not even started because they have been daunted by what can seem like an overwhelming task. The more data, applications, and people that are involved, the bigger the challenge and the need.


Taking an incremental approach using a repeatable framework is a practical, proven strategy that any size organization can implement to suit their immediate and long-term needs and budget.


This white paper provides seven steps for taking such an approach, concluding with a real world example.