Big Data Analytics in Retail Market Growth, Trends and Forecast

Big Data Analytics in Retail Market Growth, Trends and Forecast


D0773626 李秋霞


    Big data is the most closely connected truly integrated with the retail industry. Big data can subdivide customer groups, and then take unique actions to each group. Targeting a specific customer group for marketing and service has always been the target of companies. Cloud storage's massive data and big data analysis technologies make it possible for real-time and extreme segmentation of consumers to be extremely cost-effective.


    Big data Improve return on investment. It increases the achievements of big data in relevant departments, and increase the return on investment of the entire management chain and industrial chain. Departments with strong big data capabilities can share the results of big data with departments through cloud computing, the Internet, and internal search engines to help them use big data to create business value.

    The purpose of the customer management application is to deeply analyze customers and understand customers from different perspectives based on the customer's attributes, so as to attract new customers, improve customer loyalty and improve customers' consumption. Based on user preferences, to recommend various types of business or applications, and use data technology to help customers involve market consumption. For example, big data analysts collect relevant consumption information, such as what they often buy, which store to go to, how often they spend, and then accurately push information to customers.
    

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