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Industry SolutionsJoint-Stock Bank: Enterprise Data Middle Platform Enhancing Data Asset Value
China’s digital transformation is entering a new phase—from digitalization to ecosystem-level intelligence. As a foundational component, enterprise data middle platforms are in high demand, with market growth exceeding 60% CAGR.
A joint-stock bank (referred to as D) had already established a data warehouse and big data platform and had made progress in data governance and service delivery. However, siloed processes, decentralized management, and limited automation constrained the ability to unlock the full value of its data assets. To address this, the bank launched a data middle platform project aimed at integrating data development, governance, and service functions—elevating enterprise-wide data asset value and accessibility.
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01Inefficient Data Interchange
Data exchange across platforms involved complex processes and lacked timeliness.
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02Limited Data Comprehensibility
Inconsistent data models and diverse technical implementations reduced usability.
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03Poor Standard Enforcement
Existing standards were not embedded into system development, leading to weak execution.
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04Fragmented Development Management
Varying toolchains and inconsistent rules across platforms complicated management.
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05Low Resource Efficiency
Redundant data storage led to wasted resources.
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06High Maintenance Costs
Disparate tools increased maintenance effort and operational costs.
The bank established a unified enterprise-level data middle platform comprising six key layers: development, definitions, models, governance, services, and monitoring. ORIGIEN’s integrated development and governance modules enabled full-lifecycle data project management—standardizing development, systematizing asset management, and simplifying service delivery.
Standardized, Online Data Delivery: Integrated demand management, script generation, deployment, and governance processes created an automated data development pipeline.
Systematic Asset Management: A visualized, end-to-end data asset framework with tiered classifications enabled tracking at the table, field, and metric levels.
Streamlined Data Services: A centralized platform met data requests across departments, improving access and service efficiency.
Integrated Development & Governance: Over 50 systems were integrated into the governance process, applying 500+ quality rules and analyzing more than 1,600 reports.
Shared Data Asset Visibility: A 360-degree asset view supported over 1,000 standardized metrics with full lineage tracking and result distribution to target systems.
Efficient Service Delivery: The unified platform supported data demands across the bank, delivering 10 major service modules and serving more than 1,000 users.
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