Robert Kugel's Analyst Perspectives

IBM Advances Business Experience in Using Advanced Analytics

Posted by Robert Kugel on Jul 3, 2014 9:13:32 PM

The developed world has an embarrassment of riches when it comes to information technology. Individuals walk around with far more computing power and data storage in their pockets than was required to send men to the moon. People routinely hold on their laps what would have been considered a supercomputer a generation ago. There is a wealth of information available on the Web. And the costs of these information assets are a tiny fraction of what they were decades ago. Consumer products have been at the forefront in utilizing information technology capabilities. The list of innovations is staggering. The “smart” phone is positively brilliant. Games are now a far bigger business than motion pictures.

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Topics: Big Data, Mobile, Predictive Analytics, Social Media, Operational Performance Management (OPM), Performance, user experience, Analytics, Business Analytics, Business Collaboration, IBM, Business Performance Management (BPM), Customer Performance Management (CPM), finance, Financial Performance Management (FPM), Sales Performance Management, Sales Performance Management (SPM), Social, Financial Performance Management, SPSS

IBM Encourages Adoption of Predictive Analytics

Posted by Robert Kugel on Jun 28, 2012 12:14:01 PM

Our benchmark research on business analytics finds that just 13 percent of companies overall and 11 percent of finance departments use predictive analytics. I think advanced analytics – especially predictive analytics – should play a larger role in managing organizations. Making it easier to create and consume advanced analytics would help organizations broaden their integration in business planning and execution. This was one of the points that SPSS, an IBM subsidiary that provides analytics, addressed at IBM’s recent analyst summit.

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Topics: Performance Management, Planning, Predictive Analytics, forecasting, Marketing, Modeling, Sales Forecasting, Analytics, IBM, Uncategorized, SPSS