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Big Data Analytics

Big data analytics applies to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process data in a timely fashion.

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Big Data Analytics

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  1. Big Data Analytics ParStream

  2. Let Us Understand Big Data Analytics • A process of examining large amounts of data, • A variety of types to uncover hidden patterns, unknown correlations and other useful information. • That information can provide: • Advantages over rival organizations • Business benefits • Effective marketing and increased revenue

  3. Why Big Data Analytics? • Primary goal of big data analytics is : • To help companies make better business decisions: • By enabling data scientists & other users to analyze huge volumes of transaction data. • That may be left untapped by conventional business intelligence programs. • Used as part of advanced analytics disciplines such as predictive analytics and data mining. • Processing of large data sets across clustered systems.

  4. big data can benefit your business • Detect, prevent and remediate financial fraud. • Calculate risk on large portfolios. • Execute high-value marketing campaigns. • Improve delinquent collections.

  5. Big data analysis techniques can be • BI (business intelligence) solutions • New visual resources • New data sources • Cloud solutions • Latest trends • Social intelligence • Mailing intelligence

  6. Key Challenges in Big Data • IT is under pressure to tap into growing quantities of data to help the business make better, informed decisions by combining new sources of big data with existing enterprise dark data. • How will you uncover more customer and business insight and more data value? • Predictive Analytics • Behavioral Analytics • Data Interpretation

  7. CONCLUSION Big data analytics applies to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process data in a timely fashion. “The amount of data in our world has been exploding, and analyzing large data sets, so called big data will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus”

  8. To know more visit: https://www.parstream.com

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