Mic Sector Forecast : Big Data

Big data is big business and how will big data and analytics change over the next five years ? Marketers who make the most of analytics will prove to be the ones who gain support in the C Suite, because it will be marketers who are explaining not only what customers want. Why ? Because marketing organizations now collect an astounding amount of data about prospects and customers, and analytics are what can enable to draw meaning from that avalanche. Marketing teams will need to work together across regions and departments to unify and analyze the massive amounts of available data—to fuel innovation, customer value and better business. Data and Analytics Will Be Part of Everyone’s Job because Every company is becoming a technology company, and data is the currency upon which markets will compete – big or small, structured or unstructured, owned leased or discovered. Organizations Will Close the Analytics Skills Gap it means with the next generation of tools and technology, business analysts and business users will act like data scientists–and ‘real’ data scientists will be free to focus on heroics with big data instead of spending 90% of their time on data prep. Data Driven Decision Making, in the next five years, most businesses that are becoming data-driven now will look to use smart systems to automate processes and operational decision-making, which will shine a critical spotlight on the global workforce, and the skillset of employees. Big data will need more creative types like skilled sociologists, psychologists, communicators, economists and leaders that understand how to elicit a response from fellow humans, not simply analyze data. Combining Genomic Data With Environmental Data for Agriculture, we will start to see analytics to combine genomic data (and other biological data) in plants with environmental data like weather, soil conditions, etc. to optimize the yield of crops (increase the bushels per acre of food). More Automation, not enough Jobs it means the talent shortage in data science will only get worse and it will create significant opportunities for automation, particularly around data transformation and analytics. While this will have a profound impact on enterprise efficiency, they will not be nearly as impactful as the frameworks and platforms that synthesize these rapidly growing algorithmic libraries.

Reference : https://www.fastcompany.com/3042822/mic-sector-forecast-big-data?cid=search