Big data analytics is the process of collecting, organizing and analyzing large sets of data which helps uncover hidden patterns, unknown correlations, and other useful business information. According to the Gartner IT Glossary, big data is high-volume, high-velocity, and high variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. Volume refers to the total amount of data. As infrastructure improves along with storage technology, it has become easier for enterprises to store more data than ever before. Variety refers to the number of types of data. The more sources that data is collected from, the more variety will be found within data assets. Velocity refers to the speed of data processing. The faster that pace becomes, the more data can be analyzed for discovering new insights.
Big data Analytics in healthcare creates a noteworthy experience which can be utilized to foresee ailment results, design treatment conventions and for the key hierarchical arrangement. By digitizing, consolidating and adequately utilizing enormous information, human services & associations going from single specialists practice to little and expansive healing centers to national clinic systems remain to profit. Fundamentally, enormous information through big data analytics is helping associations turn out to be more gainful, effective and efficient.