Need, Impact and Scope of Prescriptive Analytics
M.Varalakshmi1, P.Pavani2, G.Ramadevi3
1M.Varalakshmi, Assistant Professor, Department of CSE, VVIT College, Guntur (A.P), India.
2P.Pavani, Assistant Professor, Department of CSE, VVIT College, Guntur (A.P), India.
3G.Ramadevi, Assistant Professor, Department of CSE, VVIT College, Guntur (A.P), India.
Manuscript received on 29 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 22 June 2019 | PP: 908-912 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C11920283S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Big data refers to significantly a wide range of large data sets that are extreme or complex for traditional data-processing. Data offers a great statistical power, where data with higher complexity (more columns or attributes) may give on to false discovery at higher rate. Statistics is a kind of science which helps to make improved decisions in business and economics and in other disciplines. Data summarization, analysis, and extracting useful inferences which lead to enhanced decisions. These improved decisions help to progress the current status of the country, department, a company or the entire economy. This paper provides a brief insight in types of analytics and understand the scope of prescriptive analytics in detail and its advantages of applying it on big data. This paper also summarizes the most trending challenges, characteristics and tools used in business analytics and also give an insight on prescriptive analysis and its importance in business analytics.
Keywords: Big Data, Analytics, Business Intelligence, Business Analytics, Prescriptive Analytics.
Scope of the Article: Big Data Analytics and Business Intelligence