Technologies like Azure Machine Learning allow organisations to develop incredibly powerful predictive analytics capabilities, but the complexity of building and maintaining these models demand that we approach analytics with a thorough, rigorous approach.
The Team Data Science Process provides a tested framework for managing advanced analytics projects and delivering solutions that create sustainable value. Regardless of the discipline – from insurance risk forecasting to manufacturing process automation – data science must proceed through a formal process that allows experts to apply data and analytic technologies in a way that maximises the value of the results.
Download this white paper to find out more.