Coinciding with the ongoing growth in data, organizations have begun ramping up their data science and data analytics efforts. Investing in data science and data analytics looks different to each organization, but for most, it comes down to bringing on new tools, new people, or a combination of the two. We’ll talk about tools a bit later in the article; first let’s discuss people. 

PwC predicts that by 2020 alone, there will be 2.7 million job postings for data science and analytics roles. Filling those positions, however, is a big concern. In a recent KPMG CIO survey, nearly half (46%) of CIOs said they are already suffering from a skilled shortage in big data and analytics. This mostly comes down to data scientists, one of the most sought-after roles, who are both expensive to find and expensive to hire. But data scientists aren’t the only ones who can tell us what’s in our data. Increasingly, organizations are leveraging a higher number of data and business analysts (often found within the organization) to drive data analytics initiatives and supplement data science efforts. 

This new rise in data workers has been buoyed by the growing variety and accessibility of data analytics tools and data analysis software available on the market. With user-friendly analytics tools, organizations have the opportunity to leverage more of their existing workforce, causing a welcome ripple effect of increased data analytics initiatives across the organization.