Daniel Mintz is the chief data evangelist at Looker Data Sciences. Previously, he was head of data and analytics at fast-growing media startup Upworthy, and before that he was director of analytics at MoveOn.org. Throughout his career, he has focused on how people interact with data in their everyday lives and how they can use it to get better at what they do.
Daniel has appeared in numerous media venues, including The New York Times, The Washington Post, NPR’s All Things Considered and MSNBC’s The Last Word. He has served on panels at the eMetrics Summit, the Big Data Innovation Summit, Netroots Nation, Rootscamp and Yale Law School, and he frequently leads statistics and analytics training programs.
Daniel holds a bachelor’s degree in music and political science from Rutgers University and a master’s degree in multimedia engineering from UC Santa Barbara’s Media Arts and Technology program. An avid photographer and bread baker, he lives in Brooklyn with his wife, his daughter and his giant white dog.
The opinions expressed in this blog are those of Daniel Mintz and do not necessarily represent those of IDG Communications Inc. or its parent, subsidiary or affiliated companies.
ETL is hard. And it's limiting. Unfortunately, there wasn't a better way because of the constraints of data technology. Until now
Analytic tools haven't kept up with the revolution in how software is built, especially in embedded analytics. But the tide is starting to turn
Companies too often think that getting value from data is all about the latest buzzwords: big data, machine learning, real-time. Turns out it's much simpler than that