dcsimg

2016 Data Analytics Forecast: Top 5 Trends to Watch

  • 2016 Data Analytics Forecast: Top 5 Trends to Watch-

    Automated Machine Learning

    A shift away from presumptive analytics

    Conventional analytics require analysts to first form a hypothesis — a question — and then query the data to surface the answer to that question. In order to arrive at accurate results, this model presumes that 1) the analyst knows the right questions to ask and 2) the hypothesis and the resulting insights are free of bias. But, of course, both of these parameters are impossible to achieve: Humans can’t possibly know all the right questions and, by our very nature, those questions are loaded with bias, influenced by our presumptions, selections and what we intuitively expect to see.

    In 2016, we’ll see a strong shift from presumptive analytics — where we rely on human analysts to ask the right, bias-free questions — toward automated machine learning and smart pattern discovery techniques that objectively ask every question, eliminating bias and overcoming limitations.

1 | 2 | 3 | 4 | 5 | 6 | 7

2016 Data Analytics Forecast: Top 5 Trends to Watch

  • 1 | 2 | 3 | 4 | 5 | 6 | 7
  • 2016 Data Analytics Forecast: Top 5 Trends to Watch-2

    Automated Machine Learning

    A shift away from presumptive analytics

    Conventional analytics require analysts to first form a hypothesis — a question — and then query the data to surface the answer to that question. In order to arrive at accurate results, this model presumes that 1) the analyst knows the right questions to ask and 2) the hypothesis and the resulting insights are free of bias. But, of course, both of these parameters are impossible to achieve: Humans can’t possibly know all the right questions and, by our very nature, those questions are loaded with bias, influenced by our presumptions, selections and what we intuitively expect to see.

    In 2016, we’ll see a strong shift from presumptive analytics — where we rely on human analysts to ask the right, bias-free questions — toward automated machine learning and smart pattern discovery techniques that objectively ask every question, eliminating bias and overcoming limitations.

Big Data has become a big deal for companies of all sizes. The rush to capitalize on business intelligence to gain a competitive edge has brought forth a bevy of new analytics products, solutions and services designed to help companies make sense of, and gain insight from, an ever-widening array of data. From consumer behavior to weather trends to disease propagation, data has become a competitive differentiator in helping both B2B and B2C companies forecast and make strategic decisions to increase revenue, reduce risk and spur growth.

In 2016, self-service analytics will take center stage, putting the power of advanced, statistically sound business analytics in the hands of business users for fast, simple and sophisticated decision-making. But, along with this move to bring analytics to every desktop, a number of other key trends will drive data analytics forward in the coming year. In this slideshow, BeyondCore has identified the top data analytic trends to watch in 2016.