Topic "Data Quality"

Data Quality: Self-Service Advancements for a Hybrid World

Last week, my colleagues and I joined together to give you a sneak-peek at the latest updates to Data Quality, PowerCenter, and Data Integration Hub with version 10.2. If you missed the webinar, I’d encourage you to take a moment and watch the replay. We showcased the latest advancements and how they will help you with some... more

Consistent, Curated Data Though Hub-based Data Quality and Enrichment

Data fragmentation and poor quality data are significant challenges for large organizations around the world.  The old computing adage of “garbage in, garbage out” is as true now as it has ever been and inconsistencies between data processing done in separate, parallel point-to-point integrations feeding different systems done on a project basis over time can... more

When Tragedy Strikes, and then Strikes Again. A Tale of Bad Data.

Imagine the relief you must feel when you step forth from the rubble, look around, and realize that in spite of your entire town being demolished by a tornado, that your home has miraculously made it. In disbelief you must stand there and take it all in. Everything around you, flattened to the ground but... more

Quickly Become Data Driven and Increase Efficiency

“We need to be more efficient.” “We need to be more nimble.” “We need to show results.” Phrases like these are commonly heard at meetings every hour of the day all over the world. The drive for internal efficiency has been growing faster and faster, with the pace of technology racing in parallel. Regardless of... more

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