According to the research analyzing how companies use big data, businesses do believe in a sweet 'big data & advanced analytics' couple
"Judge for yourselves: in 2015-2017, companies named data warehouse optimization as #1 big data use case, while in 2018, the focus shifted to advanced analytics. Another stat proves this trend: 84% of enterprises invest in advanced analytics to support improved business decision-making.
Naturally, a question arises: what is so special about the alliance of big data and advanced analytics in business practice? To answer this question, let's consider a couple of practical examples where customer and operational big data is complemented with different advanced analytics techniques, for example, machine learning and its subset - neural networks..." - insideBIGDATA
While the tools may change, the mistakes stay the same. Here are four common issues that IT leaders should be aware of when managing data science teams
"In 2019, companies looking to gain an edge on competitors and insight into customers and trends have come to rely more heavily on data scientists to inform their business decisions," reports Xin Heng in Information Week
"A good data scientist is invaluable to a company with any online presence. They will assess and interpret complex information and build out machine learning algorithms..."