We’ve heard the terms data governance and analytics governance thrown around in meetings and wonder, “Aren’t they the same thing?” While they’re definitely related, these two concepts have distinct roles in the world of data and analytics. Tech Target brought this important topic to our attention in their article, “You need analytics governance.”
Data governance is like the rulebook for your data. It’s all about ensuring that the data your organization collects, stores and uses is accurate, consistent, and secure. Think of it as setting up the guardrails that keep your data on the right track. Data governance involves defining who owns the data, who has access to it and how it should be managed throughout its lifecycle—from creation to deletion.
Analytics governance steps in when you want to make sense of that data. It’s more about how you use the data to generate insights and make decisions. While data governance focuses on the “what” and the “how” of data, analytics governance focuses on the “why” and the “what next.” In other words, analytics governance is about ensuring that the analytics processes are consistent, transparent and aligned with your business goals
You need both data governance and analytics governance to make sure your organization is not just managing its data well but also using it effectively. Without data governance, you might end up with messy, unreliable data. Without analytics governance, you could make decisions based on flawed analyses or misaligned priorities.
At the end of the day, content needs to be findable, and that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts, to help you find the information you need when you need it.
Melody K. Smith
Sponsored by Access Innovations, uniquely positioned to help you in your AI journey.