New York, NY -- (SBWIRE) -- 10/18/2018 -- Prescriptive analytics is an advanced analytics format that is used to make the best decisions about how to handle a specific situation, taking into account all situations and available resources. These analyzes work with predictive analytics that are used to determine future performance based on current and historical data. Prescriptive Analytics is used to improve business decisions in the face of uncertainty and changing conditions, and helps companies determine what action to take. For example, a prescription analysis can be used to assess whether a local fire department should require residents to evacuate a particular area when a forest fire is burning in the area. By analyzing these data departments, you can make the best decisions.

 
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 Key Players:

FICO (U.S.)

 Ayata (U.S.)

 IBM Corporation (U.S.)

River Logic, Inc. (U.S.)

Angoss Software (U.S.)

 Frontline (U.S.)

 Profitect (U.S.)

 Panoratio (Germany)

 TIBCO Software   

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The prescriptive analytics market is primarily driven by the need for handling large amounts of data that is generated from the strategic production, development, and exploration of natural gas and oil. A large amount of collected data is used while creating images and key models of the structure of earth, identification of major activities all through the well development process that involves maintaining reservoir pressures and temperatures, oil flow rates, machinery performance, and depositional characteristics.

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Risk management

Operations management

Supply chain management

Workforce management

Prescriptive Analytics offers decision options on how to take advantage of future opportunities or mitigate future risks and describes the meaning of each decision option. In fact, prescriptive analytics can automatically and continuously process new data to improve the accuracy of predictions and provide better decision-making options. The development of computer speed and the development of complex mathematical algorithms have been applied to data sets to enable normative analysis. Specific techniques used in prescription analysis include optimization, simulation, game theory and decision analysis methods. Based on application, the worldwide prescriptive analytics market is classified into workforce management.

Segmentation on the basis of enterprise:

SMEs

Large scale Enterprises 

Segmentation on the basis of vertical:

BFSI

IT & Telecommunications

Government & Defense

Transportation

Manufacturing

Healthcare

Table of Contents:
Global Prescriptive Analytics  Market Research Report 2018-2025
Chapter 1: Prescriptive Analytics  Market Overview 
Chapter 2: Global Economic Impact on Industry 
Chapter 3: Prescriptive Analytics  Market Competition by Manufacturers 
Chapter 4: Global Production, Revenue (Value) by Region 
Chapter 5: Global Supply (Production), Consumption, Export, Import by Regions 
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: Prescriptive Analytics  Market Effect Factors Analysis 
Chapter 12: Global Prescriptive Analytics  Market Forecast

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