1. Ensure data is properly catalogued and easily discoverable and establish simple easy to follow methods to ensure your users are part of the governance process.
2. You need a clear sense of who the key stakeholders/decision makers are.
3. Businesses need to ensure that a committed business owner is identified. Make it transparent. Keep senior management involved.
4. IT processes should adapt to support the needs of big data technology (and big data users).
5. Include formal content management for unstructured data.
6. A good data governance implementation identifies key integration points with strategic initiatives that have a well defined value proposition. This helps to engage middle management interested in real deliverables.
7. There should be established a quality- or precision-classification for all levels of data maturity: from exploratory data that supports early decisions up to production grade data that supports financial reporting.
8. Be Purely Practical, help the business and I/T resources learn how to make governance work as a natural extension of their current work.
9. Establish an agile method for ‘promoting’ your data development efforts to usable decision-support.
10. Over time, the need to add Meta data and data quality metrics will arise. Develop a simple set scorecard that is easy to report on to senior leadership.
Original article: information-management.com (c) AVI KALDERON