Web statistics received by companies

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The main goal is to find out the reasons and patterns of success or failure in a particular domain so that this data can be used for the most effective models. For descriptive analysis, basic mathematical functions are used. A typical example is the sociological research or  Managing Director: There are two broad categories of models for pricing decisions. The first is based on the market price of a particular product.
  
Collect and analyze the price tag data of other stores, and based on this, formulate your own prices moible number data according to certain rules. The second type of model is concerned with constructing a demand curve that reflects the quantity sold as a function of price. This is a more analytical story. Online, this mechanism is widely used, and we are transferring this technology from online to offline. Or predictive analytics ( ) helps to predict the most likely development of events based on available data.



To do this, use ready-made templates based on any object or phenomenon with a similar set of characteristics. With predictive (or predictive, predictive) analytics, for example, you can calculate stock market crashes or price changes. Or assess a potential borrower's ability to repay a loan. Prescriptive analytics is the next level of forecasting. With the help of big data and modern technologies, it is possible to identify problem points in business or any other activity and calculate how they can be avoided in the future.