When it comes to privacy, big data analysts have a responsibility to users to be transparent about data collection and usage. Here are ways to allay users' concerns about privacy and big data.

A measurement error will undermine the good efforts of your data science team and exacerbate quality problems. Learn how to eliminate or reduce these errors.

An agile project can be fun, exciting, and wildly successful -- as long as the stakeholders don't drive you crazy in the process. These expert tips should help.