We’ve seen it over and over again: predictive models that don’t work. Maybe they’re making false predictions. Or they’re accurately predicting something quite irrelevant. Or, sometimes, models can be very accurate – and so very complex that people don’t use them. Models that don’t work for users are not useful. And nobody wants to waste time and money developing a non-usable model. So, what can you do to ensure your model a) works correctly and b) meets your company or client’s needs? Listen to this webcast by Dr. Sudeep Haldar, SVP of Growth Analytics and AI Solutions and Dr. Anil Kaul, CEO at Absolutdata Analytics who share 7 tested tips for building a better, accurate and useful model. Tune in now!
