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This article is excerpted from Li Fudong's Big Data Operation-New Thinking of Service-oriented Enterprise Architecture 3.3.9

For enterprises, the goal of big data service can be summarized as "cost reduction and efficiency increase." Enterprises can use big data services to do precise marketing, effectively deliver their products to users who need them, and increase their revenue while creating value for customers.

Enterprises can also grasp customer preferences with the help of big data services, better provide services for customers, and improve customer perception. Although improving customer service experience does not directly bring revenue to enterprises, it enhances the image of enterprises in customers 'hearts in this way, making it more convenient and efficient for customers to obtain enterprise services. Therefore, customers prefer to buy enterprise products, thus increasing the income of enterprises.

In addition to increasing revenue, companies can also reduce costs with big data services. From the perspective of the type of expenditure, cost consumption is mainly divided into CAPAX investment belonging to investment construction and OPEX investment belonging to business operation, so enterprises can reduce these two parts of investment with the help of big data services. For example, in terms of reducing CAPAX investment, resources can be built centering on user value to avoid investment waste caused by "hypothesis" and "guess."

In terms of reducing OPEX investment, enterprises can use big data services to discover problems in enterprise processes and improve operational efficiency through process optimization, thus reducing the overall operating costs of enterprises.

(This article is excerpted from Li Fudong's Big Data Operation-New Thinking of Service-oriented Enterprise Architecture 3.3.9, forwarded with the authorization of the author, and the picture comes from the network)

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