What trends should data analysts be paying attention to this year? From mobile and cloud to visualization and the Internet of things, the CEO and founder of a firm specializing in analytics gives us his list of the five most important movements to watch.
With exclusive survey data and case studies, well-known analyst Cindi Howson shows how highly successful companies are deploying BI for competitive advantage.
- By Linda L. Briggs
- 1.28.2014
If IDC's forecast pans out, sales of analytic and big data software will be one of the few bright spots in an otherwise slumping global market for enterprise software.
- By Stephen Swoyer
- 1.21.2014
Watson may give a boost to business intelligence solution developers.
Lyndsay Wise of WiseAnalytics explains the connection between two important business intelligence technologies.
- By James E. Powell
- 1.21.2014
Is the news of SQL's demise greatly exaggerated or should we be preparing for a post-SQL world?
Anomaly detection algorithms use machine learning, statistical analysis, and human insight to classify and solve problems hidden within terabytes of data. The challenge: to react and respond to critical events in real time.