Read predictions for analytics in 2017, how human knowledge may prevent automation errors, and how knowing the right context provides value in big data.
- By Quint Turner
- December 14, 2016
These visualizations explore employment across different sectors, factors that affect job satisfaction, and the most common jobs across the U.S.
- By Lindsay Stares
- December 14, 2016
Why it's important to understand your data in the context of its usage.
- By Jill Dyché
- December 12, 2016
How much unrefined data may start costing enterprises, why a disruptive business strategy requires data security, and why some enterprises are still unwilling to let go of departmental data silos.
- By Quint Turner
- December 12, 2016
A recent survey report states that access to self-service is rising, but adoption is falling. However, their findings imply that overall use is relatively steady.
- By Lindsay Stares
- December 9, 2016
An expert in nonprofit management discusses how nonprofits of all sizes can benefit from the strategic use of analytics.
- By Linda L. Briggs
- December 9, 2016
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
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