Predicting Balance Sheet items and Cash Flow is a major challenge for today's CFOs around the world, and it became exceptionally important during a cataclysmic event like the Coronavirus pandemic. They have been struggling with such topics for years, and most of the implementations we've seen are ranging from either something very naïve like extrapolating on past data to something a bit more scientific like extrapolating and including some external variables while applying some functions on that data.
All such approaches fail to rigorously apply the right relative "weights" of those external variables. In this session I will show how to find the external variables which actually determine the end result, calculating the coefficient of determination, embed that into the Machine Learning model, and then be able to predict better results.
Mihai Tataran is the General Manager of Avaelgo, he is also a Microsoft MVP on Microsoft Azure and Microsoft Regional Director.
During the last years Mihai has been working on building Avaelgo's Managed Services business, now being an award-winning Microsoft Gold Partner on Cloud Platform. His main focus is designing products and services on top of the Cloud, helping the Sales processes and also working as a consultant on enterprise projects.
Mihai is regular speaker at international conferences: DevReach in Bulgaria, Codecamp Macedonia, Microsoft TechEd, Microsoft Summit; he is also involved in organizing ITCamp Romania.