What's happening? What's new? How do I use Watson Analytics? What can I do? Find answers to these questions in the Watson Analytics blog.
Event - ** Featured Post **
Attend the leading event for learning how IBM Analytics can make your organization more successful, in Stockholm September 17–20 and in Miami October 2–5.
We’ve been posting regularly here about the latest advances in IBM Cognos Analytics and how they support your business intelligence (BI) functions. ...
Why read this: Find out how IBM Cognos Analytics has evolved to enable not only more efficient analysis, but a new mode of insight and exponential lea...
Data is everywhere. In your phone, your TV, your car, your house, your company’s ledgers and supply chain . . . we’re living in a world awash with...
Analytics for all - ** Featured Post **
Why read this: To understand the quality of your data and drive better decision making. The payoff: Two new expert resources from IBM Business Analyt...
Finding out "what happened?" is why we turn to business intelligence. Two executives at PMsquare, a Premier IBM Business Partner, explain why their company was an early adopter of Cognos Analytics as the solution best equipped to get them to the answer.
Analytics for all
Combine Watson Analytics and Cognos Analytics and you have smart analytics. But don't take my word for it. A recent report titled "Maximizing Insightful and Prescriptive Analytic Value for the Data-Driven Enterprise" makes a good case.
The results are in - last week, CRN released its 2017 Annual Report Card (ARC). Solution providers across North America graded their vendors based on their performance in three key categories: product innovation; support; and partnership with the hardware, services and software vendors they team up with. When the scores were tallied, the winner in the Business Analytics category was none other than IBM Cognos Analytics!
Analytics for all
In a recent report, Gartner argued that “bias is present in all analysis; it is present in all data, all models and all algorithms.” This is not a call to neutrality. On the contrary, Gartner asserts that “eliminating all bias in data, models or algorithms is not a reasonable goal.” But where does that leave analytics solutions vendors?
However, after reviewing my methods upon conclusion of the Masters, I learned some things. I think I've got a better handle on what's needed for predicting the US Open champion. So, on today, the first day of the 117th US Open, here goes.