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An Implementation of Business Forecasting using Big Data Predictive Analysis

Author Affiliations

  • 1Department Computer Science and Engineering, S.S.G.I, Chhattisgarh Swami Vivekanand Technical University, Bhilai - 490006, CG, India
  • 2Department Computer Science and Engineering, S.S.G.I, Chhattisgarh Swami Vivekanand Technical University, Bhilai - 490006, CG, India

Res. J. Computer & IT Sci., Volume 4, Issue (5), Pages 1-4, May,20 (2016)


The Big data introduces many of the significance after the perceptions it creates when it is evaluated for finding patterns and for deriving similar words for the data, creating verdicts and eventually replying to the world with business intelligence. Many corporations are moving towards predictive analytics to build the relationship with customers, enhance processes and condense operational costs. Predictive analysis is usually used to forecast future probabilities which can arise in future for business. We can make the business strategy for the predictive models of different data present in the knowledge base in the mandate to build up a good customer’s relationship and relevant products, sales analysis and financial strategy for the company growth. Some of the common methodologies, including data mining, mathematical modelling and machine learning help to figure out some facts for the business forecasts. In this paper work, we are presenting an approach to implementing Business forecasting application which can be used as user-friendly tool for the Predictive analysis. In our approach, we are simplifying the complexities involved using Standard Advanced Predictive Analysis Tools which requires advanced skills and expertise to use in Business Forecasting.


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