Applied Analytics

Applied analytics is a powerful methodology which harnesses raw data, complex statistical analysis and internal SME’s to provide factual insights which enable informed management action in areas as diverse as maintenance optimisation, investment risk and customer churn.

Setting out to improve your business can be a bit like a treasure hunt. You draw clues from the data and expertise at your disposal and plot your course as well as you can. But the clues are often vague, contradictory and the journey frustrating.

There are many reasons for this. The reports you use represent a dilution or interpretation (or even a corruption) of the underlying data. And many potentially important data sources have no reports at all. The experts you most depend on have deep subject knowledge, but a narrow focus. Canvassing multiple experts provides multiple perspectives – but not the broad, cohesive view you really need. There is a better way.

Applied Analytics helps an organisation anticipate change so that it can plan and carry out strategies that improve business outcomes. At its heart is a powerful suite of statistical analysis and modelling tools – but the process disciplines and real-world pragmatism that support it are just as important to its success. Using data that already exists; an organisation can uncover unexpected patterns and associations and develop models to guide front-line interactions. Applications include prediction of churn, assessment of investment risk, optimisation of maintenance activity and unnecessary spend reduction.

For more information about our Applied Analytics capacity, please contact us.