Writing a chief data officer job description, using AI to follow privacy regulations, and keeping database standards useful through regular revision.
- By Lindsay Stares
- September 21, 2017
We need to be critical of analytics insights and recognize that analytics are not absolute representations of an objective business reality.
Data collection and analysis determine how players are hired, change where baseballs are hit, and show trends in who’s watching.
- By Lindsay Stares
- September 20, 2017
A chief data scientist on ad technology and mentoring, 5 ways to start with data science, and what to expect next from Hadoop.
- By Lindsay Stares
- September 19, 2017
How to encourage your entire team to think about and use data every day.
- By Jessica Barrett Halcom
- September 19, 2017
What's behind the shift to software and service-centric operating models and solutions for enterprise security?
- By Greg Ness
- September 18, 2017
Robust governance programs will always be rooted in people and process, but you also need to choose the right technology, especially when working with big data.
- By Mitesh Shah
- September 15, 2017
Connecting data science to quantum computing, using the scientific method for data science, and the costs of hidden data.
- By Lindsay Stares
- September 14, 2017
As data analysis becomes increasingly important, the debate over which tools to use also increases. However, the most important factor is the actual analytics value a tool provides to the business.
- By Mark Worthen
- September 14, 2017