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...