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How Big Data Analytics Is Useful For Organizations

Learn how big data analytics can revolutionize decision-making through advanced techniques like predictive analytics, data mining, and statistics. Explore the potential of untapped data sources to gain valuable insights. Click to view the full presentation on PowerShow.com!

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How Big Data Analytics Is Useful For Organizations

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  1. How Big Data Analytics Is Useful For Organizations

  2. Big Data • A term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. • Following are the characteristics: • High volume • High velocity • High variety • Big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media • Much of it generated in real time and in a very large scale.

  3. Big Data Analytics • It is the use of advanced analytic techniques against very large, diverse data sets. • It allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable. • Using advanced analytics tools like: • Predictive analytics • Data mining • Statistics • Natural language processing • Businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights resulting faster decisions.

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