Data Analytics is the science of examining raw data with the purpose of drawing conclusions about that information. It involves applying an algorithmic and systematic process to derive insights. For example, running through a few data sets to look for meaningful correlations between each other. It is used in few industries to allow the organizations and companies to make better decisions as well as verify and disprove existing theories or models.
Big data analytics refers to the strategy of analyzing large volumes of data, or big data. This big data is gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big Data Analytics enables enterprises to narrow their Big Data to the most relevant information and analyse it to inform critical business decisions.
This proactive approach to business is transformative, because it gives analysts and decision makers the power to move ahead with the best knowledge and insights available, often in real time. Enterprises utilizing Big Data Analytics also have the ability to boost performance and productivity, discover new revenue opportunities, improve customer service, optimize operational efficiency, reduce risk, and drive other business results.