Why Big data use?

Discussion RoomCategory: BigdataWhy Big data use?
Ashly asked 5 years ago

Why Big data use?

The importance of big data doesn’t revolve around what proportion data you’ve got, however what you are doing with it. you’ll be able to take data from any source and analyze it to search out answers that enable cost reductions, time reductions, new development and optimized offerings, and smart move creating.
Healthcare: Data-driven medication involves analyzing huge numbers of medical records and pictures for patterns which will facilitate spot disease early and develop new medicines.
Predicting and responding to natural and man-made disasters: Sensor data may be analyzed to predict wherever earthquakes are probably to strike next, and patterns of human behavior provide clues that facilitate organizations provide relief to survivors. big data technology is additionally used to monitor and safeguard the flow of refugees removed from war zones around the world.
Preventing crime: Police forces are increasingly adopting data-driven strategies based on their own intelligence and public data sets in order to deploy resources more efficiently and act as a deterrent where one is needed.
Big Data in communications: Gaining new subscribers, retaining customers, and expanding within current subscriber bases are top priorities for telecommunication service providers. The solutions to these challenges lie in the ability to combine and analyze the masses of customer-generated data and machine-generated data that is being created every day.
Big Data for Retail: Brick and Mortar or an online e-tailer, the answer to staying the game and being competitive is understanding the customer better to serve them. This requires the ability to analyze all the disparate data sources that companies deal with every day, including the weblogs, customer transaction data, social media, store-branded credit card data, and loyalty program data.
Thus, big data is used in a number of ways like:

  • Customer analytics
  • Compliance analytics
  • Fraud analytics
  • Operational analytics
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