These six machine-learning techniques are worth getting to know.
- By David Loshin
- March 16, 2016
SAS, IBM, KNIME, RapidMiner, and Microsoft posted strong showings in Gartner’s February 2016 Magic Quadrant for Advanced Analytics Platforms report, though Microsoft fell short of market leadership.
- By Steve Swoyer
- March 15, 2016
How can we include new technologies with our existing DW environment? We present a new architecture that combines the stability and reliability of the older BI architectures while embracing the new and innovative technologies and techniques now available.
- By Claudia Imhoff
- March 15, 2016
Organizations have embraced analytics with gusto. They've cleared away a good bit of the low-hanging fruit, but what's higher up on the tree is going to be much more difficult to get.
- By Steve Swoyer
- March 14, 2016
The outlook for general-purpose IT spending is mixed and uncertain. One thing that isn't mixed or uncertain, however, is demand for analytical products and services.
- By Steve Swoyer
- March 11, 2016
If 80% of BI projects fail, how do you become part of the 20% that succeeds? Plus unlocking the secrets of unstructured data and why data integration requires a special focus.
- By Quint Turner
- March 11, 2016
Can a robot perform analytics on big data, plus using modern tools to manage unstructured big data and data analytics vs. consumer privacy.
- By Quint Turner
- March 10, 2016
Data scientist is a wildly popular job title, but a good data scientist needs more than strong analytics skills. Knowing the business is crucial.
- By Mike Schiff
- March 10, 2016