Big data analytics is the process of examining large data sets containing a variety of data types i.e., big data to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits. Enterprises are increasingly looking to find actionable insights into their data. Many big data projects originate from the need to answer specific business questions. With the right big data analytics platforms in place, an enterprise can boost sales, increase efficiency, and improve operations, customer service and risk management. Notably, the business area getting the most attention relates to increasing efficiencies and optimizing operations. By using big data analytics you can extract only the relevant information from terabytes, petabytes and exabytes, and analyse it to transform your business decisions for the future. Becoming proactive with big data analytics isn't a one-time endeavour, it is more of a culture change – a new way of gaining ground.
Keywords: business, analytics, exabytes, efficiency, data sets