JT on EDM, James Taylor, July 21, 2011
Modern Analytics was founded in 2001 by a team that originally met building analytical capabilities for a major European bank. They wanted to see if they could make it easier to deliver the kind of analytic infrastructure they had developed for the bank. Since then, they have worked in many industries and have developed this infrastructure, for which they hold a number of patents. They see themselves as having two key competencies:
- Data handling.
They have developed an automated ETL infrastructure to build analytical data sets. This process handles the transformations and manipulations, as well as master data management for very large volumes of analytic data. The aim is for complete process automation of this analytical data preparation. They routinely handle very large datasets (such as one with 56B rows and 50,000 attributes - 700TB) from which thousands of derived attributes must be created for modeling.
They have been doing this for a long time and make use of best of breed algorithms of every type. Their "Model Factory" product has some of its own algorithms, as well as using many from other vendors. These algorithms cover the whole spectrum; including Regression, Neural Networks, Bayesian Classifiers, Optimization of Genetic Algorithms, forecasting and fuzzy logic. The models they build cover propensity to buy, probability of default, fraud, optimizing marketing spend, forecasting and more.