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In general business, price analysis is the process of evaluating a proposed price independent of cost and profit. [1][2] Price analysis began in 1939 when economist Andrew Court decided to analyze prices to better understand the environmental factors that influence this practice. [3] Price analysis is dependent on the characteristics of the ...
Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).
Price Intelligence (or Competitive Price Monitoring) refers to the awareness of market-level pricing intricacies and the impact on business, typically using modern data mining techniques. It is differentiated from other pricing models by the extent and accuracy of the competitive pricing analysis. [1] The technique can be applied by companies ...
Pricing science is the application of social and business science methods to the problem of setting prices. Methods include economic modeling, statistics, econometrics, mathematical programming. This discipline had its origins in the development of yield management in the airline industry in the 1980s, and has since spread to many other sectors ...
Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts (quants). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management, investment management and other related finance occupations.
Analytics. Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.
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