DATA WISEN

As cross-functional facilitators, we are comfortable bridging the gap between business leaders and technical experts... We are also firm believers in the interpretability of the analytic models in most business domains. We believe that "why" is just as important as "what", because it's the "why" that most often drives the business decisions. If an account is classified as ‘bad' (whether it's a risky credit card applicant or electric meter suspected of energy theft), it behooves the analyst to pinpoint most likely culprit for this assessment, sometimes for regulatory reasons, but often just to avoid unconscious bias. If a preventive maintenance model indicates upcoming asset's failure, operators will want to know most likely cause, so that they can take a preventive action in a timely manner... Our 20+ years of cross-industry analytics experience allows us to transfer learnings and analytic methods between various domains. This knowledge transfer capabilities, combined with our..