Articles discuss why more data doesn’t lead to better decisions, biometric data, embracing governance, dealing with data complexity, and Internet of Things security.
- By Quint Turner
- December 9, 2016
Data science is critically dependent on contributions from a broad spectrum of people -- from business analysts and data engineers to business domain experts and data scientists themselves.
Driven by business demands, easy-to-use tools are pushing analytics deeper into the enterprise. By stressing ease of use, vendors strive to deliver more insights and reach more users.
- By Linda L. Briggs
- December 8, 2016
Merge different data sources with customer data for smarter analytics, five persistent misconceptions about cloud computing, and the pros and cons of open source software for business use.
- By Quint Turner
- December 8, 2016
Improved user experience, application integration accelerators, data governance, security, and new deployment management top the list of new features.
Implementing an updated strategy for metadata will be critical as users move toward self-service BI and analytics.
- By David Stodder
- December 7, 2016
Today read 10 predictions for big data and IoT, a discussion of the biggest myths about big data, and the most common reasons big data and analytics initiatives fail.
- By Quint Turner
- December 7, 2016
Learn to create clearer tables, when and how to use violin plots, and why infographics might improve BI adoption.
- By Lindsay Stares
- December 7, 2016