IBM Data Science and Business Analytics news, articles, and insights.
February, 2020
The PMsquare Journal
Business Analytics | Technology News | Technical Articles
Welcome to the February edition of the PMsquare Journal. Included this month:
The Power of Data Module Column Dependencies
5 Ways Your AI Projects Fail, Part 5
Did You Know We're Livestreaming Cognos 11.1.5
Why the Cloud Was Made for Data and Analytics
The Bright Spot: Analyzing the Most Contentious Debate in America
The Power of Data Module Column Dependencies
By Sonya Fournier
When Cognos 11.1 was released, it introduced enough new Data Modules features that a realistic case could be made to consider moving from Framework Manager packages to data modules for metadata modeling. One of the essential pieces that was missing from earlier releases was the ability to deal with multi-grain issues. To address this issue, Cognos has recently added something called column dependencies.
The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial.
Join us on February 13th as Ryan Dolley and guest star Paul Mendelson host a Livestream of Reporting in Cognos 11.1.5 on our Youtube channel. Check out the details and
add to your calendar via the link below.
The benefits of cloud computing are widely accepted these days, but we’re still in the early stages of organizations actually moving systems to the cloud. While all sorts of workloads can benefit from cloud computing, your data and analytics systems are a great place to start—or to look at next if you’re already on the cloud journey.