Big data analytics

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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

  1. 1. Big Data Analytics ParStream
  2. 2.  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. 3.  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. 4.  Detect, prevent and remediate financial fraud.  Calculate risk on large portfolios.  Execute high-value marketing campaigns.  Improve delinquent collections.
  5. 5.  BI (business intelligence) solutions  New visual resources  New data sources  Cloud solutions  Latest trends • Social intelligence • Mailing intelligence
  6. 6.  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. 7. 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. 8. To know more visit: https://www.parstream.com

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