Let’s face it: The corporate world is still struggling with how to best leverage its data. It’s not a new challenge we face, but the problem is only exacerbated as more data is exchanged and created at petabyte scale. The proliferation of data, and its potential value for organizations have increased demand for data science professionals.
When a company seeks to hire a data scientist, it's typically seeking someone with skills in advanced programming and statistical analysis, along with expertise in a particular industry segment. The need is great, and the skills gap is widening. However, new technology presents greater opportunities for analysts to become data scientists. A recent report by Gartner predicts that more than 40 percent of data science tasks will be automated within the next three years. This is expected to increase productivity and usage of data and analytics by citizen data scientists.
According to Gartner, “Most organizations don’t have enough data scientists consistently available throughout the business, but they do have plenty of skilled information analysts that could become citizen data scientists.” When equipped with the proper tools, analysts can perform greater in-depth analysis and create models that leverage predictive or prescriptive analytics.
According to O’Reilly’s recent Data Science Salary Survey, data scientists don’t come cheap. How can today’s organizations harness the brains behind data science to get the most out of their investment, whether in talent or technology? Here are some things to consider when building your data science team:
We know the power of data science at Boxever: Nearly 10 percent of our people are data scientists themselves. As we all innovate having the right team behind big data initiatives is essential to success. Are you confident you have the right one in place now and for the future?
Dermot O’Connor is co-founder of Boxever and vice president of product and engineering.
Jim Connolly is a versatile and experienced technology journalist who has reported on IT trends for more than two decades. As editorial director of InformationWeek and Network Computing, he oversees the day-to-day planning and editing on the site. Most recently he was editor ... View Full Bio