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...