For a data closed-loop of business digitalization, data assetization, asset servitization, and service businessization, Daas can provide a one-stop data middle office solution to welcome the digital era by relying on five core capabilities from the data middle office: collection, storage, connection, management, and usage to support and empower enterprise digital transformation and business innovation.
Business Challenges
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Chaotic product matrix management and delayed data service response
Due to limited service capacity, enterprise data platform lacks timely response. Chaotic response management leads to delayed data service and poor service experience, which affects the data usage experience and business development of the business side.
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Chimney construction of data platform incurrs a lot of resource waste
Lacking overall planning of data product systems, the government and enterprise departments have independent procurement or self-built business systems, leading to many internal "isolated data islands". Without data sharing and exchange, duplicate construction leads to waste of resources.
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Huge amount of business data and high data governance costs
When data platform develops to a certain scale, gradually the enterprise will form data assets with loads of data accumulated. The costs will be too high for collecting, storing and processing such a huge amount of data.
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Significantly increased demand for data valorization
Although most customers already have a certain data base, they have not formed a closed-loop of the whole data life cycle. Since the proportion of data valorization is low, they cannot provide effective data services, which becomes a barrier for their digital transformation.
The Data Middle Office integrates the business wisdom of Ping An Finance, and empowers enterprises to realize comprehensive digital intelligence operation.
The Data Middle Office integrates the business wisdom of Ping An Finance, and empowers enterprises to realize comprehensive digital intelligence operation;
Three types of data management tools: open service platform, data application platform and data asset management platform capture the underlying data, effectively combine data and business with applications and refine data value;
One decision center: meets the needs of enterprise operational analysis, explores data in real time by combining with business applications and provides visual reports/board analysis functions, customers' business strategies can be made through the drag and drop in the process canvas function;
Product functions empower businesses to realize the whole process of data management of "data access > data integration > data development > data application > data governance > data analysis", providing unified, modular and standardized service capability management and output, and realizing accurate satisfaction and efficient response to the data needs of the business end.
Offline indicator analysis process
Offline indicator collection, definition, management, indicator analysis process
Real time customer business strategy analysis process
Real time calculation, event management, customer business strategy analysis process
Customer Cases
- Solution Overview
- Business Challenges
- Product Solutions
- Product Strengths
- Customer Cases
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