Taizhou Bank: Establishing Thousands of Data Standards to Create a Benchmark for Microfinance Governance

Taizhou Bank uses Dataphin to set 1,600+ data standards and 2,500+ indicator system, enabling intelligent microfinance governance.

1600+	2500+
Bank-wide basic data standards	Bank-wide indicator system

As a representative bank deeply rooted in micro and small enterprise finance, Taizhou Bank, established in 1988, has always adhered to its market positioning and provided customers with simple, convenient, and fast high-quality services. As early as the 1990s, Taizhou Bank used its then-leading risk control technology to provide convenient loan services for micro and small enterprises.

Background and Business Challenges

Entering the digital economy era, Taizhou Bank has deeply integrated financial technology and data assets into its core strategy, using the construction of a data middle platform as a key fulcrum to systematically drive business innovation and service upgrades. However, the transformation process has also been accompanied by real-world challenges: during the implementation of the middle platform, three interconnected business challenges have emerged.

● Inconsistent indicator definitions reduce the credibility of business reports and pose regulatory challenges.

● Lack of data asset inventory means data is hard to find, unclear, or inaccurate.

● The lack of data management processes and mechanisms slows down business response speed.

Unified Middleware Platform Connects the Three Major Systems, Implementing Data Management Standards

Taizhou Bank has built a unified data platform portal based on Dataphin, which includes modules such as data research and development and governance, data asset management, and intelligent analysis. It enables integration with the bank's user system, connects various product and OA system interfaces, and undertakes the implementation of data governance system standards and the full-process data management standards.

Based on Dataphin, a unified asset management module is built to manage the bank's data asset catalog, data delisting and listing, and data consumption in a unified manner, providing convenient data support and intelligent analysis for business departments and branches.

Before	After
● Lack of platform tools to support data governance ● Inadequate data management processes and responsibilities slow down business response times.	● Developed over 1600 bank-wide basic data standards, covering 10 major business areas, 14 subject areas, and over 100 business processes, including core regulatory standards such as EAST, Golden Data, and 1104. ● Online management of data asset catalog, covering 15+ systems ● Completed a bank-wide indicator system of 2500+

By partnering with Dataphin, Taizhou Bank has successfully built an intelligent data platform characterized by "unified standards, asset visibility, and closed-loop processes." This is not merely a technological upgrade, but a profound governance transformation—it unifies the bank's data language, solidifies the foundation of compliance and risk control, and transforms data from a scattered "resource" into a highly efficient "asset." Today, this robust data foundation is precisely driving agile innovation in its microfinance business, marking Taizhou Bank's transition from "experience-driven" to a new era of "intelligent operation."

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Taizhou Bank: Establishing Thousands of Data Standards to Create a Benchmark for Microfinance Governance

Background and Business Challenges

Unified Middleware Platform Connects the Three Major Systems, Implementing Data Management Standards

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