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  2. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics can help underwrite these quantities by predicting the chances of illness, default, bankruptcy, etc. Predictive analytics can streamline the process of customer acquisition by predicting the future risk behavior of a customer using application level data. Predictive analytics in the form of credit scores have reduced the ...

  3. Uplift modelling - Wikipedia

    en.wikipedia.org/wiki/Uplift_modelling

    The response could be a binary variable (for example, a website visit) [1] or a continuous variable (for example, customer revenue). [2] Uplift modelling is a data mining technique that has been applied predominantly in the financial services, telecommunications and retail direct marketing industries to up-sell , cross-sell , churn and ...

  4. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    Predictive modelling uses statistics to predict outcomes. [1] Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. [2]

  5. Business analysis - Wikipedia

    en.wikipedia.org/wiki/Business_Analysis

    Business analysis is a professional discipline [1] focused on identifying business needs and determining solutions to business problems. [2] Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development.

  6. Predictive learning - Wikipedia

    en.wikipedia.org/wiki/Predictive_learning

    Predictive learning is a machine learning (ML) technique where an artificial intelligence model is fed new data to develop an understanding of its environment, capabilities, and limitations. This technique finds application in many areas, including neuroscience , business , robotics , and computer vision .

  7. Prescriptive analytics - Wikipedia

    en.wikipedia.org/wiki/Prescriptive_analytics

    Prescriptive analytics is the third and final phase of business analytics, which also includes descriptive and predictive analytics. [2] [3] Referred to as the "final frontier of analytic capabilities", [4] prescriptive analytics entails the application of mathematical and computational sciences and suggests decision options for how to take advantage of the results of descriptive and ...

  8. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Google Analytics is an example of a popular free analytics tool that marketers use for this purpose. [12] Those interactions provide web analytics information systems with the information necessary to track the referrer, search keywords, identify the IP address, [13] and track the activities of the visitor. With this information, a marketer can ...

  9. Speech analytics - Wikipedia

    en.wikipedia.org/wiki/Speech_analytics

    The process is primarily used by customer contact centers to extract information buried in client interactions with an enterprise. [1] Although speech analytics includes elements of automatic speech recognition , it is known for analyzing the topic being discussed, which is weighed against the emotional character of the speech and the amount ...