I would like to share with you two reports regarding analytics that I read recently. The first one is Intelligence for Everyone: Transforming Business Analytics Across the Enterprise is written by Irfan Khan from SAP. According to the author, big data is a big lie. The fear from the industry regarding big data is not justified. The article proposes use cases in analytics for different industry sectors.
The second paper, Data Science Revealed: A Data-Driven Glimpse into the Burgeoning New Field (EMC Data Science Community), proposes a benchmark of the data science community (understand data mining and business intelligence practitioners). The study tries to differentiate data scientists and business intelligence people. For that, about 500 practitioners have been interviewed. I find their concluding paragraph very relevant:
“Once companies have brought in the right talent, they need to create an environment conducive to effective data science. That means building high-performing, cross-functional teams that include a variety of roles, including programmers, statisticians, and graphic designers, and aligning them to directly support interested business decision makers. They should also loosen restrictions on data in the enterprise, allowing employees to more freely run data-driven experiments. Finally, data scientists should be given free access to run experiments on data, without bureaucratic obstacles, so that they can rapidly translate their own intellectual curiosity into business results.”