Federated cloud-based big data platform in telecommunications

Deng, Chao; Qian, Ling; Xu, Meng; Du, Yujian; Luo, Zhiguo; Sun, Shaoling

doi:10.1145/2378975.2378987

Cited by 6 publications

(1 citation statement)

References 2 publications

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“…The value of big data for the insurance industry goes without saying. In the field of business innovation, how to find potential customers and find out the intrinsic requirements of customers [7], to provide the most suitable service to customers is the key to the existence and development of the insurance industry. Space-time big data platform for the insurance industry to provide data and technical support to help the insurance industry to create productcentric products and customer geographies as the center of the customer circle, and promote the development of the industry, the formation of a "two centers a basic point" of development mode.…”

Section: The Collision Between Insurance and Big Datamentioning

confidence: 99%

Big Data Platform Architecture under The Background of Financial Technology

Liu

Peng

2018

Proceedings of the 2018 International Conference on Big Data Engineering and Technology

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With the rise of the concept of financial technology, financial and technology gradually in-depth integration, scientific and technological means to become financial product innovation, improve financial efficiency and reduce financial transaction costs an important driving force. In this context, the new technology platform is from the business philosophy, business model, technical means, sales, internal management and other dimensions to re-shape the financial industry. In this paper, the existing big data platform architecture technology innovation, adding space-time data elements, combined with the insurance industry for practical analysis, put forward a meaningful product circle and customer circle. CCS CONCEPTS• Software and its engineering → Application specific development environments.

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Section: The Collision Between Insurance and Big Datamentioning

confidence: 99%