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Atlan > Case Studies > Implementing Data Governance at SEA's Largest Digital P2P Lending Platform

Implementing Data Governance at SEA's Largest Digital P2P Lending Platform

Technology Category

Functional Applications - Enterprise Asset Management Systems (EAM)
Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

E-Commerce
Oil & Gas

Applicable Functions

Quality Assurance
Warehouse & Inventory Management

Use Cases

Asset Health Management (AHM)
Asset Lifecycle Management

Services

Testing & Certification

The Challenge

Funding Societies | Modalku, a licensed digital peer-to-peer (P2P) lending platform in South East Asia, faced several regulatory and compliance requirements that factored into its data strategy. As data becomes an increasingly valuable asset in the FinTech world, the company needed to ensure high-quality data and meaningful management information to identify and monitor risks and understand the performance of various business functions. The challenge was to implement a solid understanding of data governance to equip the organization with better decision-making capabilities, uniform data across the organization, increased data literacy, and improved regulatory compliance.

About The Customer

Funding Societies | Modalku is a licensed digital peer-to-peer (P2P) lending platform in South East Asia. As a financial institution, it is subject to several regulatory and compliance requirements. The company operates in the FinTech world, where data is becoming an increasingly valuable asset. It gives rise to significant competitive advantages. The company aims to ensure high-quality data and meaningful management information to identify and monitor risks and understand the performance of various business functions. The company is working towards becoming a data-centric organization.

The Solution

Funding Societies | Modalku onboarded Atlan as their Data Management Platform to implement their initial data management and governance goals. They started by exploring their data landscape and bringing in all the structured data assets into Atlan, which natively supports Postgres and Snowflake. Atlan's UI features helped discover the data assets, and its auto-generated data dictionary provided a complete profile of the data. The company worked closely with the Atlan team to create lineage down to a column-level based on their data pipeline architecture. Atlan's lineage view provided a clear picture of the entire flow of the data. The company also used Atlan to build glossaries via bulk upload or using the UI, define all data classifications based on data domains and subdomains, and automate data quality profiling. They integrated Atlan with JumpCloud for added security and customized granular access policies suited to their unique organizational needs.

Operational Impact

The implementation of Atlan as a Data Management Platform has allowed Funding Societies | Modalku to achieve their initial data management and governance goals. The platform's features have enabled the company to discover and organize their data assets effectively. The auto-generated data dictionary provides a comprehensive profile of the data, aiding in understanding and decision-making processes. The creation of lineage down to a column-level has provided a clear visual representation of the data pipeline and how data flows across different sources in the organization. This has saved significant time that would otherwise be spent on internal communication and debugging. The integration with JumpCloud has added an extra layer of security, and the customization of granular access policies has catered to the company's unique needs.