Topic "Data Quality"

Illusion Series – Episode VI: I Tell (Horror) Stories With Data, Do You?

I recently ran into this HBR article about why and how to tell compelling stories with data.  HBR also had some interesting insights on storytelling and the use and shortcomings of analytics as well (Davenport, Tom. “10 kinds of stories to tell with data”, HBR, May 5, 2014 and Filbin, Bob and Jeff Bladt, “A... more

Illusion Series – Episode I: Everything will be OK

A consultant, a data architect and a call center manager walk into a bar in some Asian metropolis (figuratively speaking). The data architect says, “Can you help me figure out how to convince the business to invest in upgrading our data management environment?” The consultant says, “Sure, let me chat with your call center manager... more

How Bad Data Impacts Critical Stakeholders

Much has been written about the monetary impacts of poor data quality. A familiar and easy to understand illustration of this is the cost of bad postal address data: The US Postal Service (USPS) estimated in 2013 that there were approximately 6.8 billion pieces of mail that could not be delivered as addressed. Beyond the fact... more

Holistic Data Stewardship

Nine years ago when I started in the data integration and quality space, data quality was all about algorithms and cleansing technology.  Data went in, and the “best” solution was the one that could do the best job of fuzzy matching the data and cleaning more data than the other products.  Of course, not data... more