Tag Archives: idata

In a recent webinar we covered tips for writing great business glossary definitions. Click here to access the recording. In this blog post we thought we would cover some principles and thoughts on...

Data governance and data intelligence helps your organization with your typical data situations. This blog post reminds you to review your various data situations (or maybe you call them use cases)...

Reference data lists are used from a data governance perspective in a variety of places including definitional, quality, reporting, integration, and standards. Previously we covered what is reference...

In this blog post we will cover what is reference data by giving some examples and some general guidelines. The most common use of reference data are code values or lookup values. The dropdown lists...

What is it that you want to track in a data system inventory? It’s a lot of information. In this blog post we cover this by discussing the ten levels of data system inventory complexity. They get...

There is a potential enormous impact when a reference data list or valid value list is changed. Some changes more than others. And you need to be prepared. But, as a rule, lots of things happen if...

We say that “Data governance is about best practices designed to help people access, understand, connect, protect, and effectively use your organization's data across all systems”. The key words are ...

Data at the beginning of the line usually changes by the time it gets to the end of the line. You need to understand the changes that occur. All organizations, including higher education...

In this blog post we will discuss the purpose of a data governance (or data intelligence) initiative assessment so that you can create a plan. First, you will need to assess your current situation...

When we talk about best practices in data governance (or data intelligence), we separate it into two main areas: framework (the how) and content (the what). This blog post will discuss these 2 areas...

What do we mean by data governance (and data intelligence) and why does data governance matter?  This blog post answers both of these questions.

There are five key elements (goals, buy-in, content, process, champions) that we say are needed for data governance (and data intelligence) success for organizations which we will cover in this blog...

We are firm believers that organizations should practice just-in-time data governance (or just-in-time data intelligence) which has an empowered committee to handle policy and vision as well as...

There is a great deal of content in data governance and data intelligence. And there needs to be agreement on what we are governing. There are 12 key areas of content which we will cover in this blog...

One of the three components of a data governance (data intelligence) framework is having a communication process which includes facilitating just-in-time data governance, supporting data governance...

One of the three components of the data governance (data intelligence) framework is having a knowledge base, a central repository, that is open to all consumers and creators. This blog post is about...

One of the three components of a data governance (data intelligence) framework is data stewardship which is defining and establishing stewardship. Stewardship involves people and these individuals...

Data governance (also called data intelligence), while beneficial, is a lot of work. And many are waiting for that large project to be done but there are many small tasks that can be done to get the...

Employees spend a great deal of time searching for information. One tool that organizations must have to save employee time is a business glossary which contains the business terms that employee...

Integration between data systems is a key part of data management. As more data systems are used in an organization, system integrations are becoming even more critical. IData’s staff is expert at...

Data governance (also called data intelligence) allows for better decision making. But there are many questions related to data governance that should be answered. Not all at once. We thought we...

Some organizations lose momentum with their data governance (data intelligence) initiative.  In this blog post, we’ll mention some of the reasons to restart your data governance initiative.

A few...

Data governance (or what we call data intelligence) consists of many components including data system inventory, data request, data stewardship, reference data, data lineage, business glossary, data...

Data stewardship is an important part of data governance (also referred to as data intelligence) and thus an important part of the success of the organization. A key part of data governance is...

To have successful data governance (or data intelligence or data management) you need to have data stewardship. And for data stewards to be successful you need to provide them with the proper...