Data governance: Best practices for your data architecture
Data governance is difficult. Those involved with data governance are much like the IT staff that run internal capabilities. When everything is working, they’re taken for granted - but once a problem emerges, they’re criticized by everyone throughout the organization.
In data governance, this means that data programs need to have well-established policies and procedures, competent staff, and exceptional execution.
This white paper will focus on how an architecture of different technologies and technological capabilities supports data governance. Read on to learn why the key to a successful data architecture is bringing together various software to efficiently address data challenges.