Data Governance Analyst
Whenever I’ve examined data governance frameworks, I’ve found that rules and logic are different. The frameworks can vary not only from company to company but even between departments within the same company. Definitions of quality, usable, and secure data differ, depending on the priorities of leadership and each department. Communication is key to data governance.
Constantly Document and Verifying Data
A culture of constant maintenance is important. Data governance does not stop once all stakeholders approve definitions, data quality standards, etc. Data quality is constant maintenance: documentation and verification of data quality is an unending process.
Make Documentation more Accessible
Accessibility has two parts: a centralized area for documentation and easy-to-read documentation. Governed data documentation is inaccessible if users cannot find it. It is catastrophic when that documentation is written in jargon or complex language.
Office Hours: Make your analysts and data stewards available.
Your analysts, data stewards, anddata engineers must have office hours.
Data Governance is a dynamic process. It is a cycle of continuous integration and development, that evolves alongside technology changes and business direction.