Data science is inspired and underpinned by having thought leadership in technology and information architecture. Through data manipulation or understanding system information flows, end-to-end service functions and reporting tool outputs become powerful engines for business, brand and customer.
Data sets across business units is a fantastic asset to blend and generate insights from, but the tools are not in place to validate, montetise or cross-enrich profiles
Define an architectural strategy that provides business (not data driven) approach to answering needs. By taking an approach to validate blended snapshots 1st, investment is evolved effectively
More than simply reporting results, data science is the application of statistical science coupled with programming to answer the "why?" of data. This may include the manipulation of data through multiple mathematical or programmatic transformations, the application of techniques to large, unstructured data sets and the visualisation of the results in easy to understand methods.