Does IBM's new Watson Analytics offering herald the advent of a new class of quasi-intelligent machines capable of beating the best of human analysts at their own game?
- By Stephen Swoyer
- November 4, 2014
Using predictive analytics on a combination of social media and data from in-house systems can be a powerful combination. We offer insights into the potential and how to make the business case for using social media analytics.
- By Linda L. Briggs
- October 21, 2014
With statistical and data mining skills in short supply, are the right people building your models? These three safeguards can help you avoid model-building problems.
- By Fern Halper, Ph.D.
- October 21, 2014
It is time for your organization to put "achieving at or near real-time views of data" higher on its strategic priority list?
- By David Stodder
- October 21, 2014
A new survey looks at big data readiness, investment plans, and deployment approaches.
Make sure users understand their roles in the enterprise before you begin a BI project.
SAS Visual Statistics is designed to make the statistically fluent even more productive. Crucially, this is a class that includes business analysts, power users, and other non-traditional "statisticians."
- By Stephen Swoyer
- October 14, 2014
Predictive analytics can be used on social media data to better understand and react to customer behavior. Combining it with in-house data can yield deeper insights.
- By Linda L. Briggs
- October 14, 2014
BI specialists and generalists can help each other make the most of what they bring to the table, but fulfilling experiences come more often to those who take time to differentiate themselves with specializations.