Web Seminars

Succeeding with predictive analytics isn’t rare. In fact, most organizations that report investing in this forward-looking technology report at least some valuable return for their money. Odds are, those companies employ at least some of the following best practices: 1) properly define the problem to be solved (don’t shoot in the dark); 2) identify a key target variable to predict (must be a good decision-making metric in the company); 3) determine what “good” means, success-wise (what is the baseline for success?); 4) identify the appropriate data that can aid in prediction. There’s also: 5) finding the right algorithms, but this doesn’t matter unless 1-4 are nailed. Tune in Thursday at 3 ET to hear Analyst Dean Abbott of Abbott Analytics, along with guests Simon Arkell of Predixion, Gary Angel of Semphonic, and Louis Bajuk-Yorgan of TIBCO-Spotfire.