Enterprises' desire to access real-time data spreads quickly once the right use cases are found.
Choose the right cloud model, staff a great data quality team, and ensure that your big data project will create positive ROI.
- By Quint Turner
- November 17, 2016
A long-time expert in legal investigations discusses the growth of emojis and the need for tools to separate emojis from messages for analysis.
- By Linda L. Briggs
- November 16, 2016
The founder of Practico Analytics spoke with Upside about the people skills that analysts need in order to create reports that will truly help their colleagues succeed.
- By James E. Powell
- November 14, 2016
If you're starting out as an analyst, be prepared to embrace the "Wild West" of data.
- By James E. Powell
- November 10, 2016
A new survey from Jinfonet shows that the gap between the supply and demand for analytics insights for commercial customers presents a huge opportunity for companies.
- By Dean Yao
- November 10, 2016
Lead data scientist Alejandro Correa Bahnsen develops machine learning algorithms for fraud detection. He described for Upside the basic skills and personality traits he believes are necessary to succeed in data science.
- By James E. Powell
- November 9, 2016
Part 1 of this series showed that data needs the context of information to be useful. Here we explain why information alone is still insufficient.
- By Barry Devlin
- November 8, 2016