1. Enhance real-time data processing capabilities. Banks have completed the construction of big data platforms, but the platform capacity is biased towards batch processing, in order to further access the real-time value of data, banks give full play to the advantages of resources, and actively carry out the construction of real-time data processing capacity.
2. Strengthen the means of data collection. National big data industry development plan mentioned in the large volume aggregation capacity is based on the Internet of Things, but the Internet of Things in the bank application is not wide enough, and the business characteristics of the bank, after all, the bank can not directly for business reasons to the customer site to engage in the Internet of Things. Large banks need to ecological approach, with the supply chain core business *** with the construction of data collection means.
3, constantly generating demand for high-quality data. Data application is a long-term construction capacity, business depth involvement. Large banks should be market-oriented, demand-driven, to tap into business scenarios, to train data product managers for the business, to cultivate the feeling of using data, combined with the business rational design of data services, so that the business capacity and technical capabilities to form a positive interaction of growth.
4. Strengthen data governance. Large banks should play a leading role in the industry and take the lead in promoting industry-level data standards and data asset definitions. The construction of data standardization in large banks cannot be separated from a comprehensive data inventory, definition, and data modeling work can promote each other.