There are many reasons to get excited about data analytics and Big Data in 2017. Information is crucial for an evolving digital business—after all, analytics effect many different aspects of many different businesses. What should businesses be looking for in analytics in 2017? Jen Underwood, founder of Impact Analytix gave us a few exciting trends to look for in data analytics.
Infrastructure in an increasingly connected world is developing to the point where it is almost invisible in mature markets. According to Underwood's blog, fear of the cloud is expected to ease as more and more organizations see the successes of early adopters. “Compelling transfer of data security risks to modern cloud providers will bring executives peace of mind,” Underwood said.
Want to learn more about Big Data? Download our free Guide to Understanding Big Data here.
According to Underwood, there’s no need to worry about the change of Big Data’s importance in 2017: “This sector continues evolving from a niche market into a mainstream technology. As organizations increasingly require the ability to store and investigate oceans of data arriving in a variety of formats on divergent timetables, big data analytics capabilities will become integrated in modern business intelligence, analytics and data science tools.”
In her blog, Underwood states that conversations about the proper handling of data from legal and ethical standpoints, as well as maximizing the value of data externally will continue in 2017. High-profile, on-premises data breaches have already exposed the risks of using outdated technology, so we will also see attention given to modernization as a way of advancing data security and privacy technologies,” Underwood said.
These experiences will offer previously unimagined ways of interacting with data. Augmented and virtual reality’s capabilities were developed in 2016 and can help build innovative experiences in 2017 in many industries such as healthcare, industrial design, retail and many others.
“The years leading up to 2017 have seen an analytics-based cultural shift toward data-driven decision making. Accordingly, we have seen a growing need for bringing analytics closer to the user—in the app, when and where decisions are made. In 2017, we will see cognitive, predictive and prescriptive analytics increasingly being embedded into line-of-business apps,” Underwood said.