Reseña

I have been working for years in the art of developing and analyzing metrics. But my interest has focused not only in constructing them, but in analyzing them through time-series data visualizations, in order to look for changes, variations and disruptions.

During my research in defining new metrics to calculate efficiency, productivity, profitability, Return Over the Investment (ROI) or impact of projects, processes and investments, I concluded that, in management, there must be a quantitative way to measure the success or fail of a project. If there is no way to measure results in a quantitative way, there could be something wrong on a project’s design. Why? Because a project should has a numeric procedure to justify itselt in front of managerial levels or decisions makers. This is the base concept of Diagnostic Analytics: analyze what happened in the past to try to explain the present and then try to predict the future in the most accurate manner possible.