{"id":6034,"date":"2016-02-03T07:00:45","date_gmt":"2016-02-03T15:00:45","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=6034"},"modified":"2015-12-29T07:47:39","modified_gmt":"2015-12-29T15:47:39","slug":"big-data-seven-trends-and-predictions-for-data-and-analytics-in-2016","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/big-data-seven-trends-and-predictions-for-data-and-analytics-in-2016\/","title":{"rendered":"Big Data: Seven Trends and Predictions for Data and Analytics in 2016"},"content":{"rendered":"

We’re already into the year, so without further ado, here are a set of seven predictions for Big Data and analytics markets\u00a0in\u00a02016:<\/p>\n

Cloud computing will rule.<\/strong> \u00a0The cloud is gaining strength as a strong component of any computing strategy. \u00a0The economics of the cloud will drive more companies to use the cloud or hybrid cloud\/on-premise computing to perform cost effective and scalable big data analytics.<\/p>\n

The cost of doing Big Data will drop<\/a>.<\/strong> \u00a0Computing costs are dropping dramatically every year. \u00a0In 2016 software and computing prices will drop sufficiently so\u00a0that even small businesses will be able to take advantage of the use of\u00a0sophisticated data analytics.<\/p>\n

Self-service data analytics will grow rapidly.<\/strong> \u00a0Big data tools will be designed to make self-service data exploration easier, allowing managers and executives to use data analytics with little or no support from IT staff.<\/p>\n

Improved Security<\/strong> – Security issues have been a blocker for some big data and analytics applications. \u00a0Expect analytics software to better address privacy issues and shrink any\u00a0objections to using the technology.<\/p>\n

Visual and Storytelling interpretation<\/strong> – Increasingly businesses will use data to visually explain their data. \u00a0Infographics and charts will dominate the way data is presented. \u00a0Analysts\u00a0will be expected to not just present reams of data but will need to become storytellers and be able to weave their results into a data narrative.<\/p>\n

Growth in the Internet of Things (IoT) will help push the envelope for analytics.<\/strong> \u00a0Big data applications are touching all industries. \u00a0While many businesses are already using analytics for analyzing marketing and customer data, applications like IoT will increase the scope\u00a0of Big Data to include applications like\u00a0healthcare, manufacturing and utilities.<\/p>\n

Predictive Analytics<\/strong> – Big data analytics will grow in sophistication and begin to be used to identify and predict trends and behavior patterns.<\/p>\n

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We’re already into the year, so without further ado, here are a set of seven predictions for Big Data and analytics markets\u00a0in\u00a02016: Cloud computing will rule. \u00a0The cloud is gaining strength as a strong component of any computing strategy. \u00a0The…<\/span><\/p>\n

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