Analytics Automated

Analytics Automated (A_A) is a framework for automating long running distributed computation principally focused on executing on-demand Data Science tasks for an audience of distributed users.

Today it is trivially easy for Scientists, Researchers, Data Scientists and Analysts to build statistical and predictive models. More often than not these don't get turned in to useful and usable services; frequently becoming reports on work which does not get actioned. In short, organisations often have trouble operationalising the models and insights which emerge from complex statistical research and data science

Analytics automated is targeted at streamlining the process for turning your predictive software into usable and maintainable services.

With A_A Researchers and data scientists can build models in the modelling tool of their choice and then, with trivial configuration, Analytics Automated will turn these models in to an easy to use API for integration in to websites and other tools.

The other principal benefit of this system is to reduce technology lock-in. Statistical modelling and Data Science expertise is now spread across a wide range of technologies (Hadoop, SAS, R and more) and such technological proliferation shows no sign of slowing down. Picking a single modeling technology greatly reduces the pool of possible employees for your organisation and backing the "wrong horse" means if you have to change it can be very costly in terms of time, staffing and money.

A_A is agnostic to the modeling software and technologies you choose to build your group around.