Predictive analytics is the practice of extracting information from existing data. It helps users determine and understand the buying patterns of customers, and predict future trends for an organization. Prescriptive analytics is another branch of advanced analytics, dedicated to obtaining the best course of action for a presented situation. Prescriptive analytics is associated with both descriptive and predictive analytics. The growing demand for consumer goods, indirectly boosts the adoption rate of predictive & prescriptive analytics tools, due to the fact that many retail organizations and online retail stores are using this software to analyze, predict, and provide a solution for any demanding situation.
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The Prescriptive Analytics Market to Grow steadily at a CAGR of +31% during the forecast period.
The report on the Global Prescriptive Analytics Market is a comprehensive overview of the market, covering various aspects such as product definition, segmentation based on various parameters, distribution channel, supply chain analysis, and the prevailing vendor landscape. It compiles exhaustive information sourced via proven research methodologies.
The information of the Prescriptive Analytics Market is accessible in a logical chapter wise format.
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Companies Profiled in this report includes, IBM Corporation, FICO, River Logic Inc., Ayata, Angoss Software, Profitect, Frontline, PanoratioTIBCO Software, NGData, and among others.
Emergence of technologies such as big data and IoT and rising attractiveness of real-time accessibility of data for business decision making are the drivers that propel the growth of the prescriptive analytics market. Among the business areas, the prescriptive analytics tool are to be applied in marketing and retail, cyber security, fraud prevention, supply chain optimization and resource optimization and other.
The Prescriptive analytics market is driven by the increasing need for real-time accessibility of structured and unstructured data to forecast outcomes for better decision making. However, the unstructured data type generated out of enterprises is expected to grow at the highest CAGR during the forecast period 2018-2023.
The competitive landscape of the Global Prescriptive Analytics Market is discussed in the report, including the market share and new orders market share by company. The report profiles some of the leading players in the global market for the purpose of an in-depth study of the challenges faced by the industry as well as the growth opportunities in the market.
The report also discusses the strategies implemented by the key companies to maintain their foothold in the industry. The business overview and financial overview of each of the companies have been analyzed.
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The report is designed to introduced Prescriptive Analytics Market and its vivid information with definition, classification, application and industry chain overview. The market report provides wide perspective and analysis of industry policy and plan, product specification manufacturing process, cost structure also it includes market condition of the main region, its product price, profit, capacity, production, capacity utilization, supply, demand and industry growth rate.
To conclude, contemplation of the noteworthy enactment of the Global Prescriptive Analytics Market is driven by various analysis tools and wide-ranging research reports. Citations are engaged to mount clear results and validate them.
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Table of Contents
Global Prescriptive Analytics Market Research Report 2018
Chapter 1 Global Prescriptive Analytics Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast
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