IData Insights

Organizations and communities are strengthened when there is collaboration of data. And that requires data sharing agreements (DSAs). An organization must achieve a culture of open and transparent...

Periodically, you will want to modify or remove data in your organization that is incorrect, incomplete, improperly formatted, unnecessary, or duplicated. To do this you want to clean your data....

There are six key elements (goals, roadmap, buy-in, content, process, and champions) that we say are needed for organizational data governance (and data intelligence) success.  We will cover these...

Data lineage is not easy.  But knowing where your data came from and how it has been changed is an important part of data governance and data intelligence.  In this blog post we will mention...

We have used the term Just-in-Time Data Governance in the past and over time realized that this is not the correct terminology to use. We now call it Just-in-Time Data Intelligence which is a...

A key part of data governance and data intelligence is to have an easily accessible knowledge base and a key part of this knowledge base is a data processing (report) catalog. And a key piece of...

In this blog post we will cover who might be making data-related requests at your organization and the types of requests you might be receiving. You should create a list of your data requestor...

People are an important part of data governance. They are part of the necessary framework. In this blog post we will mention educational resources (blog posts, videos, and recorded webinars) that...

We have done several webinars on best practices related to data governance and data intelligence. We thought we would briefly recap these best practices regarding business glossary, data system...

Having some of your data governance-related activities automated drives strategic decision-making and improves daily operations in the organization. Data governance automation is an incredibly...