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

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	Data Governance Transformation at SEA's Largest Digital P2P Lending Platform Atlan

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

Atlan

Technology Category	Application Infrastructure & Middleware - Data Exchange & Integration Application Infrastructure & Middleware - Middleware, SDKs & Libraries
Applicable Industries	Buildings National Security & Defense
Applicable Functions	Quality Assurance Warehouse & Inventory Management
Use Cases	Inventory Management Object Detection
Services	System Integration Testing & Certification
Challenge	Funding Societies \| Modalku, a licensed digital peer-to-peer (P2P) lending platform in South East Asia, faced several challenges related to data governance due to its regulatory and compliance requirements. The company recognized the increasing value of data and its potential to provide significant competitive advantages in the FinTech world. However, without high-quality data and upward reporting of meaningful management information, the company was unable to identify and monitor risks or understand the performance of various business functions. The company faced daily operational and regulatory challenges, including understanding and classifying data, applying flexible governance and security policies, and integrating across different applications. The company also needed to ensure data was organized, accessible, and compliant. Read More
About Customer	Funding Societies \| Modalku is a licensed digital peer-to-peer (P2P) lending platform in South East Asia. The company is subject to several regulatory and compliance requirements which factor into its data strategy. The company recognizes the increasing value of data and its potential to provide significant competitive advantages in the FinTech world. However, the company also recognizes the challenges associated with data governance, including understanding and classifying data, applying flexible governance and security policies, and integrating across different applications. Read More
Solution	To address these challenges, Funding Societies \| Modalku adopted the DAMA — Data Governance Framework. The company recognized that data management and governance was not a one-time project, but a journey to become data-centric. The company started by getting buy-in from leadership and defining the policies for data governance, data classification, data loss prevention, and access control. The company then created an Information Asset Inventory, identifying the Critical System, Processes, Data, and Assets. The company also set up a domain-driven architecture, assessing the existing data warehouse (Snowflake) architecture and restructuring it to domain(data) driven layered architecture. This framework helped the company categorize the datasets and figure out how the data will be stored, processed, and managed. The company also started the process of curating a business glossary after defining the data domains and subdomains with the respective owners. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Data Exchange & Integration

Application Infrastructure & Middleware - Middleware, SDKs & Libraries

Applicable Industries

Buildings

National Security & Defense

Applicable Functions

Quality Assurance

Warehouse & Inventory Management

Use Cases

Inventory Management

Object Detection

Services

System Integration

Testing & Certification

Challenge

Funding Societies | Modalku, a licensed digital peer-to-peer (P2P) lending platform in South East Asia, faced several challenges related to data governance due to its regulatory and compliance requirements. The company recognized the increasing value of data and its potential to provide significant competitive advantages in the FinTech world. However, without high-quality data and upward reporting of meaningful management information, the company was unable to identify and monitor risks or understand the performance of various business functions. The company faced daily operational and regulatory challenges, including understanding and classifying data, applying flexible governance and security policies, and integrating across different applications. The company also needed to ensure data was organized, accessible, and compliant.

About Customer

Funding Societies | Modalku is a licensed digital peer-to-peer (P2P) lending platform in South East Asia. The company is subject to several regulatory and compliance requirements which factor into its data strategy. The company recognizes the increasing value of data and its potential to provide significant competitive advantages in the FinTech world. However, the company also recognizes the challenges associated with data governance, including understanding and classifying data, applying flexible governance and security policies, and integrating across different applications.

Solution

To address these challenges, Funding Societies | Modalku adopted the DAMA — Data Governance Framework. The company recognized that data management and governance was not a one-time project, but a journey to become data-centric. The company started by getting buy-in from leadership and defining the policies for data governance, data classification, data loss prevention, and access control. The company then created an Information Asset Inventory, identifying the Critical System, Processes, Data, and Assets. The company also set up a domain-driven architecture, assessing the existing data warehouse (Snowflake) architecture and restructuring it to domain(data) driven layered architecture. This framework helped the company categorize the datasets and figure out how the data will be stored, processed, and managed. The company also started the process of curating a business glossary after defining the data domains and subdomains with the respective owners.

Impact #1	The implementation of the DAMA — Data Governance Framework and the restructuring of the data warehouse architecture to a domain(data) driven layered architecture helped Funding Societies \| Modalku to better manage and govern its data. The company was able to categorize the datasets and figure out how the data will be stored, processed, and managed. The company also started the process of curating a business glossary after defining the data domains and subdomains with the respective owners. This helped the company to better understand its data and use it to make informed decisions. The company was also able to improve its regulatory compliance and increase data literacy across the organization.

Impact #1

The implementation of the DAMA — Data Governance Framework and the restructuring of the data warehouse architecture to a domain(data) driven layered architecture helped Funding Societies | Modalku to better manage and govern its data. The company was able to categorize the datasets and figure out how the data will be stored, processed, and managed. The company also started the process of curating a business glossary after defining the data domains and subdomains with the respective owners. This helped the company to better understand its data and use it to make informed decisions. The company was also able to improve its regulatory compliance and increase data literacy across the organization.

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Overview

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

Operational Impact