It's time for Oracle's annual predictions in big data for the year to identify the key areas of change. This is the year the big data adoption trend will begin to make the leap from 3,000 organizations that Hadoop and Spark vendors count as paying customers with most only in development to tens of thousands of organizations in production. The industry will finally begin to shift gears into more mainstream applications, affecting thousands more businesses. We are making 10 predictions for 2016 that have three trend categories: a big expansion to the big data user base, major technology advances, and growing effects on society, politics, and business process.
The #1 out of the Top 10 Predictions: Data civilians will operate more and more like data scientists.
While complex statistics may still be limited to data scientists, data-driven decision-making shouldn’t be. In the coming year, simpler big data discovery tools will let business analysts shop for datasets in enterprise Hadoop clusters, reshape them into new mashup combinations, and even analyze them with exploratory machine learning techniques. Extending this kind of exploration to a broader audience will both improve self-service access to big data and provide richer hypotheses and experiments that drive the next level of innovation.
Oracle conducted a big data survey in August 2015 that had 633 global IT decision makers respondents to gauge top benefits and impediments. 55% of the respondents reported the biggest benefit for big data projects is to simplify access to all data, ahead of 53% for faster and better decision making and 48% for increased business and customer insight at 48%. Empowering business users to analyze their own data ranked as the top purpose of big data at with 83% of respondents in agreement slightly followed combing structured and unstructured data in a single query at 82%.
Watch Ovum's Tom Pringle and Oracle's Nick Whitehead discuss Thriving in the Age of Big Data Analytics and Self-Service
The demand for organizations to empower business managers and civilians to be as productive as data scientists for decision making is real and the self-service capabilities to find, transform, discover, explore, and share insight from big data and with any other data are available. Learn how other customers are capitalizing on big data and what analysts are saying now at oracle.com/big-data.