Data Governance is an important component of successful management of data.The best word to describe is governance is context . Context should be the central component to your data governance approach.
We look at your approach to personal identifier information(PII) data.
Whether you are new to Data Quality or you currently run thousands of rules, we assess your needs for critical data elements.
Data definitions, data lineage, business logic, and business roles should all be part of your meta-model. We will assess your artifacts.
Who is authorized and who makes changes to data logic, calculations, and values? We will map what is happening.
Standards and policies are essential to a scalable and sustainable data environment. We review effectiveness.