Advertisement

How to Not Get Overrun by Your Data Overrides

Click to learn more about author Richard Mohrmann. Large-scale enterprises rely heavily on market and consumer data sourced from outside vendors, but that information comes at a cost. In addition to intermittent issues with the data quality itself, consumers of vendor data can face timeliness problems, non-standard formats, coverage gaps, and lags in technical support. […]

To Silo or not to Silo Your Data?

Click to learn more about author Jill Shuman. Content can be stored in numerous places throughout an organization, which sometimes makes it a challenge to find. Most companies create internal content – guidelines, templates, and job instructions – while also having external licensed content – such as scientific journals and databases – as a part of […]

The Benefits of Master Data

Click to learn more about video blogger Scott Taylor. The Data Rants video blog series continues with host Scott Taylor “The Data Whisperer.”  The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, and so much more. […]

Solving Knowledge Graph Data Prep with Standards

Click to learn more about author Dr. Jans Aasman. There’s a general consensus throughout the data ecosystem that Data Preparation is the most substantial barrier to capitalizing on data-driven processes. Whether organizations are embarking on Data Science initiatives or simply feeding any assortment of enterprise applications, the cleansing, classifying, mapping, modeling, transforming, and integrating of data […]

Data Quality: Naughty or Nice?

Click to learn more about author Kevin W. McCarthy. Just in time for the holidays, I put together my first annual “Data Quality: Naughty or Nice” list. For your average person, Data Quality can be a really dry topic. When you start talking about consolidating customer records (checking that Jon Smith and J Smith are […]