Find out why the next cyberattack might include data manipulation, best practices to make your data lake successful, and the differences between BI, data analytics, and data science
- By Quint Turner
- September 19, 2016
Tableau officials are adamant that the transition of cofounders Christian Chabot and Chris Stolte to new roles won't disrupt ongoing product development. If anything, they claim, customers should expect more from Tableau.
- By Steve Swoyer
- September 19, 2016
MyScript uses machine learning to build highly accurate handwriting recognition algorithms. The company says its technology works with 95 percent of written languages as well as mathematical equations and music.
- By Linda L. Briggs
- September 19, 2016
Machine learning is a hot topic today and businesses around the world are using it to gain a competitive advantage. It is not a magical technology, rather the application of time-tested statistical practices to common business processes.
- By Troy Hiltbrand
- September 16, 2016
Without tools to measure social influence, we can't select the right influencer for a particular effort or campaign. Start-up Hypr Brands says it brings prescriptive clarity and analytics insight to influencer marketing.
- By Steve Swoyer
- September 16, 2016
How broad access to big data increases insights, using big data to make money versus save money, and an advanced analytics overview, including techniques and tools.
- By Quint Turner
- September 15, 2016
According to new survey, data from research firm Clutch, most users of BI data analytics tools find traditional data types more valuable than new data sources. Is this really a surprise?
- By Lindsay Stares
- September 15, 2016
Today learn how geospatial data is more easily understood through visualizations, how very small businesses can manage their data effectively, and how journalists are turning to visualizations to deliver data stories.
- By Quint Turner
- September 14, 2016