Tag Archives: quality

We return to a topic that has interested us lately, which is how organizations might be able to use generative artificial intelligence, or GenAI, to supplement their analytics efforts. Particularly...

Is the effort to implement data governance and data intelligence worth it? The answer to this question is yes. With the implementation of data governance and data intelligence, the organization will...

In recent months we have read a number of articles and blog posts arguing that organizations really need to get their data quality in order prior to exposing data to generative artificial...

Keep in mind that data governance and data intelligence is not only about technology and information but also about staff. Make it easy for the staff at your organization to follow data-related...

It’s football season, and if you watch games, you’ve probably seen something like this. It’s fourth down, deep in your opponent's territory. Should you go for it? Should you attempt a field goal? How...

We recently recorded a few webinars focused on data quality, specifically how data quality management--whatever that looks like at your organization--fits into data intelligence activities and a data...

When we introduced the Data Cookbook, one of our goals was to help clients solve a problem they all had with requesting and providing data. We observed that users who wanted data would describe the...

Recently we discussed the concept of data sprawl. We find ourselves very much in the era of data sprawl, with so much data available for capture, so many specialized tools for its collection and...

As data practitioners, we assume that even the most skilled user can and will make mistakes, and we have a number of safeguards in place to prevent or remediate them. When users are entering an...

We have a great deal of resources (blog posts, videos, and recorded webinars)  related to a variety of topics and components in data governance (or what we call data intelligence).

Topics include: ...

Last week we presented a webinar in our Data Governance--Best Practices series on data quality. Among the recommended practices were identifying the specific type of data quality issue (or issues)...

One of the reasons we got into this business was a desire to help organizations make better use of data. Over the years we have worked with hundreds of organizations to introduce data into the...

Over the past few months, we have explored the concept of data literacy in an individual and organizational capacity. Organizations are being pushed to be more data-centric just to keep up with the...

It is important for an organization to resolve data quality issues quickly so that information can be trusted and used. For this to happen, individuals that use data must understand the data quality...

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...

When we speak with new or prospective clients, the topic of their organization's data quality often comes up. And it's frequently our experience that when someone who is not data-savvy thinks their...

An important component of data governance (also known as data intelligence) is data quality. But there are many parts to data quality including sources of data quality, issues, their impact, people...

A data quality program can be any size. Whether large or small, the key thing is to have a plan and to use processes that are predictable and repeatable. A haphazard or unpredictable approach will...

A data quality program can be any size. Whether large or small, the key thing is to have a plan and to use processes that are predictable and repeatable. A haphazard or unpredictable approach will...

Building a culture that fosters data quality is the job of everyone in your organization (such as a higher education institution), from front line staff in various functional departments such as...

Data quality can be improved at any organization including higher education institutions. And it is a team effort with thoughts from many. To do this, we suggest getting individuals into a room...

Internal communication is a key process in the success of a data quality program at an organization. To build trust in your data you want to be as transparent as possible regarding data quality. If...

Data quality is an important piece to data governance (data intelligence) and thus important for organizations including higher education institution. During our various webinars and blog posts we...

Data quality is an important component of data governance and data intelligence at higher education institutions and organizations. Data quality includes people, processes and content. This blog post...