Why Data Science for Business
Help create devices for automatic diagnosis of patients. Improve the transport system, making it safer. Help develop facial recognition systems on streets and indoors and much more. This is only a small part of the possibilities of using Data Science, and the number of different applications of this science is growing exponentially every year. Why Data Science for Business In addition, in any area there are the following tasks: detection of anomalies, for example, unusual customer behavior, fraud; personalized marketing - email newsletters, retargeting, recommendation systems; quantitative forecasts – performance indicators, quality of advertising campaigns and other activities; scoring systems - processing large volumes of data, helping in decision-making, for example, on granting a loan; basic interaction with the client - standard responses in chats, voice assistants, sorting letters into folders.Industries where Data Science is in demand Below are examples of industries that use Data Science to solve their problems: All areas of business, including the creation of algorithms for forecastingBenin WhatsApp Number demand and project results. Online trading and entertainment services that use recommendation systems for users. Healthcare using disease prediction and recommendations to maintain health. Logistics using planning and optimization of delivery routes. Transport companies using algorithms to develop the optimal transportation route. Digital advertising using automated content placement and targeting. Finance using scoring and fraud detection and prevention systems.
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Banks using programs to assess the solvency of clients. Industry that uses predictive analytics to plan repairs and production, as well as predict failures in the operation of production lines. Real estate using search and offer of the most suitable properties for buyers. Programming with LEGO: from simple models to complex robots Read also Programming with LEGO: from simple models to complex robots More details The IT sector uses bot programming for search algorithms and artificial intelligence systems. Public administration using employment and economic forecasting and crime control.
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