9 data aspects managed by successful Information Governance programs

Updated: Jan 5


Information Governance
Information Governance

Information Governance


Setting up an Information Governance - a.k.a. Data Governance - program requires some effort. Thankfully, there are many frameworks around to help you, including Prodago's. But before we get into the "how," it is essential to appreciate "what" it is that we are trying to govern. With a clear understanding of the various aspects that we are trying to manage, we make clear and informed decisions about priorities and sequencing.


In subsequent posts, we will delve into the likes of our framework, best practices and organizational considerations, amongst other subjects related to data governance. In this post, we will cover nine (9) aspects of data that, if not managed, will expose your organization to data risks (more on those in a later blog post). These aspects apply to any industry.

Nine (9) aspects of data that, if not managed, will expose your organization to data risks

The aspects we manage fall into three categories:

  1. Data protection - this one is self-explanatory;

  2. Utility - this is about making sure the data itself is useful in context or a particular use case;