There are many factors that go into making an enterprise analytics and data science program a success. At IIA, the application of our Analytics Maturity Assessment methodology to hundreds of companies over the past several years has allowed us to identify some important and intriguing patterns. Here, I’ll walk through a few of the patterns IIA has identified that can appear counter-intuitive at first but make perfect sense upon reflection. Capability Without Awareness & Adoption = Failure!Many analytics and data science organizations have made the mistake of focusing purely on the technical aspects of progress. What is often neglected is the ongoing communication and internal marketing of that progress to stakeholders throughout the enterprise. Those involved in a major project will be acutely aware of its potential and progress, but without expanding that awareness to the eventual users and beneficiaries, progress will not be subjectively perceived and recognized.It would be terrific if successfully implementing world class analytical platforms, tools, and talent led directly to success. Unfortunately, such efforts are necessary but not sufficient. Success is not only dependent on objective increases in capability, but also on subjective awareness of and excitement about that progress. Further, real success requires the business ...
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