Reshaping Skillsets in the Age of Analytics

Data analytics is entering a new era, propelled by two trends in data science. First, business leaders are more frequently being moved into data roles, fueling the emergence of citizen data scientists. Second, technologies are making certain data science tasks – particularly data mining – more efficient, freeing data scientists to focus on insights.

As these two trends converge, data science teams need to reshape their skillsets to reach their full potential today. Business users increasingly charged with analytics roles While the majority of data science leaders have years of experience in analytics, math and statistics, I have been working with many companies that are placing people from the business side (like operations or sales) into insights leadership roles. Overall, this is a smart strategy, providing data teams with better direction as to what the business really needs. It also allows the business side to understand exactly how data analysis works.

Author: Rich Wagner


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