15 Data Analytics Trends That Will Dominate 2017
2016 was a landmark year for data analytics with more organizations storing, processing, and extracting value from data of all forms and sizes. In 2017, systems that support large volumes of both structured and unstructured data will continue to rise.
- Read more: Big data 2016
- Read more: Machine Learning: Inevitable but Expensive Path for Future Business
“Analytics without application to an actionable strategy is meaningless”- Mike Grigsby
There’s always something new on the horizon, and we can’t help but wait and wonder what technological marvels are coming next. Savvycom team has outlined the predictions for what 2017 will bring data and analytics.
15-analytic-trends-in-2017
- Read more: in house vs outsourcing it
1, The emergence of the data engineer
2, Artificial intelligence (AI) is back in vogue.
3, Big data for governance or competitive advantage.
4, Companies focus on business driven applications to avoid data lakes from becoming swamps
5, Data agility separates winners and losers.
6, Blockchain transforms select financial services applications
7, Machine learning maximizes microservices impact.
8, Intelligent networks lead to the rise of data clouds.
9, Real-time machine learning and analytics at the edge.
10, More pre-emptive analytics: from post-event to real-time, pre-event analysis and action.
11, Ubiquity of connected modern data applications.
12, Data will be everyone’s product.
13, The emergence of the data engineer.
14, Security: Growth of IoT leads to blurrred lines.
15, Hybrid wins, thanks to certain enterprise-ready cloud applications.
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