The current world is powered entirely by big data. These data are generating from every step of an individual’s online activity, be it browsing the internet or the use of advanced connected devices, particularly IoT devices. This surge in data has given the rise of big data analytics. It is the complex process of analyzing big data to discover information such as concealed patterns, market trends, customer preferences, and others. This will substantially help organizations to make informed data-driven business decisions. As big data analytics enables businesses to harness their data and use it to identify new opportunities, it leads to smarter business moves with efficient operations and higher ROI.
Today, people as well as businesses generate data from millions of sources at an unprecedented rate. These data sources are present everywhere in the world; social channels are the largest sources of data available out there. Thus, harnessing the power of truly big data analytics tools and techniques at a broader scale, they provide a means to examine data sets and derive actionable insights.
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Big Data Analytics: What It is and Why is So Important? Big data analytics allow data analysts, data scientists, and other data analyts to assess voluminous amounts of structured and unstructured data, with other data forms that are often left untapped by conventional BI and analytics programs.