Vendors have taken to advanced analytics like sharks to a feeding frenzy. What's whetting their appetite is companies' need for big data and IoT services -- along with the analytics know-how to maximize the value of these technologies.
- By Steve Swoyer
- July 5, 2016
As interest in business analytics continues to grow, companies are responding by making tools easier to use -- making analytics more pervasive. In this interview, the CEO of Infogix talks about the progress and future of business analytics.
- By Linda L. Briggs
- July 5, 2016
Read how KPIs give necessary context to big data, how Koverse promises an effective data lake in 30 days, and what 5 data governance mistakes to avoid in your big data project.
- By Quint Turner
- July 1, 2016
To overcome barriers and get started with big data and Hadoop, you need the right business case, the right training, and a good starting point.
- By Philip Russom
- June 30, 2016
These articles explain what to think about when hiring analytics professionals, how to get the most out of your data science team, and why you may benefit from unconventional sources of new data.
- By Quint Turner
- June 30, 2016
Cisco Systems and IBM announced they'll collaborate on edge analytics. What is edge analytics and why does it matter?
- By Steve Swoyer
- June 30, 2016
With eight million people across five boroughs, New York City creates a lot of data to explore! Learn how people are using public data to examine police statistics, land use, and even the trees on the streets.
- By Lindsay Stares
- June 29, 2016
Today learn how American Express came to use big data in a big way, how AI applications can help with cybersecurity, and how to build new data sets for machine learning or other advanced analytics.
- By Quint Turner
- June 29, 2016