The Exsilon team has supported myriad industries that leverage analytics including automotive, biotech, consumer goods, energy, financial services, healthcare, medical devices, pharmaceutical, and retail. "These industries are experiencing not only a shortage of data scientists able to use highly advanced techniques but a sufficient level of analytical literacy across their entire organization. To build a solid analytics culture, companies will need to invest not only in technology and employing highly skilled data scientists, but in developing a base level of understanding about analytics across all those who consume and use the results," Kevin shares.

One of Exsilon's core principles to their approach is to provide an authentic description of the benefits and short- comings behind every analysis without conveying a false-level of precision in the results. "For companies to effectively use data, we believe they should be aware of the specific conclusions an analysis does and doesn’t support. That includes an understanding of the uncertainty, risk, and error as well as a honest recognition of where an analysis falls short. We think this helps decision-makers accurately incorporate the results of a statistical analysis into their decisions, better compare and integrate results from different analyses, and cultivates thoughtful ideas for next steps," explains Kevin.