end of data scientists

We don't have a crystal ball at CMSWire — but we're curious about the future. So we’ve collected predictions from some our favorite analytics firms like Tableau, Splunk, Alteryx, Alpine Data Labs and SAP, as well as insights from the Music Industry Association and Ad Age.

We’re sharing a few of them with you. For the record, these prophesies do not belong to us, nor do we necessarily agree with them.

2014 is the Year

Data scientists lose their sex appeal:

  • Tableau says that the technological advances made in 2014 will enable ordinary workers to become capable of generating the same kind of insights as data scientists are known for. The company adds that data analysis will become a skill that business users possess vs. only experts with “analyst” in their titles.
  • Alteryx echoes Tableau’s sentiment: “Analysts will matter more than data scientists,” they say. “Empowering analysts in business departments with big data and analytics will become more important than filling the perceived need for millions of data scientists.”
  • SAP KXEN’s VP of Marketing, Andy Savitz, says that his company’s  product InfiniteInsight, revolutionizes forecasting in two ways; first, it empowers business analysts with data scientist-like capabilities by automating much of their hard, messy and time-consuming work; and second, through the same automation, it can build more models with more variables (thousands versus hundreds) faster than large armies of data scientists.
  • Splunk’s big data director Brett Sheppard says that line-of-business employees will soon be able to leverage technology to ask and answer their questions using raw, unstructured data from disparate sources. “They won't need to rely on specialists to unlock the value of big data,” he says, adding that they'll soon be able to use data to help make decisions that they previously might have made on gut-feel alone.

Big data goes to the cloud:

  • Analyst Ovum says that BI in the cloud will continue as a growing trend among enterprises looking to reduce the cost and complexity of deployment. Tableau says that Cloud-based data warehouses like Amazon Redshift and Google BigQuery can reduce the time it takes to build a data warehouse from months to days. This will enable rapid prototyping and a level of flexibility that previously was not possible.
  • Last week Cloudera announced that its Enterprise Data Platform is now certified and available for deployment on the Amazon Web Services (AWS) cloud. In 2014 companies of all sizes, with a variety of economic means and resources will have greater opportunity to benefit from big data.
  • Steve Levy, president, SAP Platform Solutions at SAP, says that an increasing concern about the cost of storing massive data sets, and a continued lack of expert resources with NoSQL technologies like Hadoop, will drive a new emphasis on the cloud friendly solutions.