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  2. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data in marketing is a highly lucrative tool that can be used for large corporations, its value being as a result of the possibility of predicting significant trends, interests, or statistical outcomes in a consumer-based manner. [115] There are three significant factors in the use of big data in marketing:

  3. Behavioral analytics - Wikipedia

    en.wikipedia.org/wiki/Behavioral_analytics

    Behavioral analytics is also used by Target to suggest products to customers in their retail stores, while political campaigns use it to determine how potential voters should be approached. In addition to retail and political applications, behavioral analytics is also used by banks and manufacturing firms to prioritize leads generated by their ...

  4. Big data maturity model - Wikipedia

    en.wikipedia.org/wiki/Big_Data_Maturity_Model

    The TDWI big data maturity model is a model in the current big data maturity area and therefore consists of a significant body of knowledge. [6] Maturity stages. The different stages of maturity in the TDWI BDMM can be summarized as follows: Stage 1: Nascent. The nascent stage as a pre–big data environment. During this stage:

  5. Customer analytics - Wikipedia

    en.wikipedia.org/wiki/Customer_analytics

    As retail technologies become more data driven, use of customer analytics use has raised criticisms specifically in how they affect the retail worker. Data driven staffing algorithms can lead to irregular working schedules because they can change on short notice to adapt to predicted traffic. Data driven assessment of sales can also be ...

  6. Lesara - Wikipedia

    en.wikipedia.org/wiki/Lesara

    Lesara was one of the first companies that used the concept of agile retail within the fashion industry. [9] Agile retail is a direct-to-consumer retail model that uses big data to try to predict trends, manage efficient production cycles, and optimize turnaround on emerging styles. [10]

  7. Retail - Wikipedia

    en.wikipedia.org/wiki/Retail

    When discussing the impact of technology on shopping and retail, e-commerce is often the first thing that comes to mind for retailers. However, technologies such as big data, artificial intelligence, computer vision and the Internet of Things have used data to transform every part of the shopping experience, from browsing to checkout. [76]

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