One, data-driven business

Through data products, data mining models to achieve the intelligence of enterprise products and operations, thereby greatly improving the overall effectiveness of the enterprise output. The most common application areas include precision marketing services based on personalized recommendation technology, advertising services, and model algorithm-based wind control and anti-fraud services, credit services, and so on.

Second, the data external cash

Through the data carefully packaged, external data services, so as to obtain cash income. More common in the market are major data companies use their own mastery of big data, to provide wind control queries, verification, anti-fraud services, to provide customer guidance, infusion, precision marketing services, to provide data open platform services.

Three, data-assisted decision-making

Provide basic data statistical report analysis services for enterprises. Analysts can easily access data to produce analysis reports to guide products and operations, product managers can improve product functionality and user experience through statistical data, operations staff can identify operational issues and determine operational strategy and direction through data, and management can grasp the company's business operations through data to make some strategic decisions.

About what is the core value of big data analytics platform, Qingteng Xiaobo will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.