Data Governance Framework

Organizations regardless of market or mission need to manage data, minimize data risk, and meet data-focused regulatory compliance mandates. This means rules, universal agreement on rules, and rules enforcement -- in other words, a data governance framework and strategy. The larger the organization, the (usually) larger the data sets, therefore larger organizations need to lock down even more stringent rules around data governance than the average SMB.

At minimum, a data governance framework involves rules, regs, and processes for master data management, data security, data quality, data ownership, and access.

Data Governance is Worth the Time and Trouble

Without a data governance framework or strategy, organizations can run into issues with data quality (impacting decision making) and run afoul of regulatory requirements (which can be expensive and even catastrophic). An organization-wide commitment to building a data governance framework and investing in its implementation and adoption can mitigate risk and help ensure future business success.

To read more, download our ebook, 5 Steps to Successful Data Governance. Also read our case study about Snowflake and Talend data governance.