Some claim business intelligence has had its day. Not according to Gartner.
- By Steve Swoyer
- March 16, 2016
Big data's effectiveness, plus fusing marketing with data science and using a citizen data scientist to find your big data footing.
- By Quint Turner
- March 16, 2016
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