A global media conglomerate with two broadcast networks, 17 cable channels and more than 50 digital properties, continued to be challenged by industry trends of content viewership, cord cutting, the impact of digital on traditional advertising, and most importantly, the best way to measure these trends. To help measure and understand how to respond to the shift in the industry, our client was undertaking a transformation on how it collected, used and stored data. Our client’s objective was to treat data as a strategic weapon that is leveraged across its properties and increase its ability to measure their digital ad performance. They wanted to enhance their ability to access more data types (structured, semi-structured and un-structured), have faster access to data to test hypotheses, and greater data mash-up capabilities. Continue reading Case Study: How a Global Media Conglomerate Transformed their Data Management Strategy for Better Business Decisions
We are extremely pleased to announce our Silver sponsorship at the upcoming MDM & Data Governance Summit. This event, happening at the Sheraton Times Square in New York City October 5-7, is in its ninth year and is geared at helping you understand how to engage your business processes and reach beyond the IT department. Our own Chris Blotto, Informationist, will be presenting “MDM in a Big Data World” at the Industry Innovation Lunch on Monday, October 6, from 11:45am to 12:45pm. Continue reading Don’t Miss Knowledgent at the MDM & Data Governance Summit October 5-7
Depending on your perspective and what you are trying to achieve, “quality” takes on different meanings. That being said, most people would probably agree that data quality relates to some degree of “correctness”. However, data can be correct in different ways.
So, what is “quality”? Many might say that quality is having the correct information, but that is only part of the data quality story. I like to think of quality as a three-legged stool, where each “leg” or characteristic is critical in supporting the overall structure.
Continue reading 3 Main Factors for Data Quality