Informatica is helping Thailand’s Krungsri Bank accelerate its Digital Transformation journey through an AI-driven data governance framework that enhances operational efficiency, regulatory compliance and customer experience.
Informatica, a leader in enterprise AI-powered cloud data management, is working with Krungsri (also known as Bank of Ayudhya Public Company Limited) to help the bank in its Digital Transformation as it strives to become a leading AI-driven digital bank.
As one of Thailand’s leading financial institutions by assets, loans and deposits, Krungsri recognises the critical need for a unified approach to managing and governing its data assets, which are traditionally isolated across its business units. With a customer base spanning Thailand and over 19 million throughout ASEAN, Krungsri needs a robust data governance framework to help ensure data quality, security, privacy and compliance with regulatory standards as part of its Digital Transformation and growth strategy.
By implementing Informatica’s Cloud Data Governance and Catalog (CDGC) and Cloud Data Quality (CDQ), underpinned by Informatica’s AI-powered Intelligent Data Management Cloud platform, Krungsri is laying a robust data foundation since it moved to a hybrid cloud environment with Amazon Web Services (AWS). With CDGC and CDQ, the bank is addressing critical challenges such as data discovery, metadata management and data quality improvement. This empowers the bank to strengthen data integrity and build greater trustworthiness throughout its operations.
“Recognising the pivotal role of data in the banking sector, Krungsri strategically adopts these advanced data governance solutions to enhance data quality, accessibility and integrity,” said Tul Roteseree, Head of Enterprise Data and Analytics Group at Krungsri. “With a scalable and robust governance framework underpinning our cloud-enabled, secure technology infrastructure, we are not only helping to ensure regulatory compliance and boosting operational efficiency but also driving customer-centric innovation and superior customer service to reinforce our leadership in the financial industry.”
“Krungsri’s transformation journey demonstrates how strategic data governance, enabled through our partnership, can help large financial institutions to navigate complex data landscapes, accelerate innovation and realise meaningful operational value. With Informatica as a trusted partner, Krungsri is leading the way in making banking in Thailand truly data-driven and AI-enabled,” said Steven Seah, Vice President for Informatica ASEAN, India and Korea.
Tul Roteseree
What impact has the rollout of the Informatica solution had on Krungsri so far?
The rollout of Informatica’s data governance at Krungsri has had several positive impacts thus far. It has improved the way data quality is managed by shifting from IT writing scripts – which was time-consuming and difficult to standardise – to a self-service model that standardises all data quality rules within a single repository.
Additionally, Krungsri has modernised its data catalog and dictionary, moving from Excel spreadsheets to a searchable, easy-to-maintain portal and interface. This implementation also provides the opportunity to perform data lineage, thereby enhancing the company’s impact analysis capabilities.
How did you ‘sell’ the benefits of the Informatica solution to Krungsri employees?
We emphasised a better time-to-market by making processes more structured and organised as one of the key benefits. We also highlighted the advantage of having a single portal that integrates data catalog, data quality, data lineage and governance. Furthermore, our users are now able to accomplish much more on their own, reducing their reliance on IT.
Where do you see the partnership with Informatica taking Krungsri in the future?
We envision the expansion of usage to cover more critical data elements, implementing additional data quality rules and integrating more data sources. We would like the portal to become the first resource that our data users – whether business analysts, data scientists or others – turn to when faced with a business problem.
Additionally, we aim for our team to fully maximise the capabilities of Informatica, including its AI capabilities. This will require our team to understand the Informatica product better so that it can be seamlessly embedded and integrated into our processes and way of thinking. This also means that Informatica will need to work closely with our team to ensure understanding of both existing and new features.
Steven Seah
What were the technical challenges inherent in implementing the Informatica solution with Krungsri?
One of the key challenges was harmonising multiple legacy systems and data sources that had evolved independently over time. The Informatica team needed to ensure consistent metadata structures, data lineage tracking and rule definitions across disparate environments.
Additionally, data quality validation was initially handled through manual scripts within IT. Transitioning to a centralised, self-service model required careful design of governance policies, automation workflows and access control to ensure both agility and compliance.
How did Informatica work with Krungsri in implementing the solution?
Informatica adopted a co-creation with local partners and enablement approach rather than a traditional vendor-client model. We worked hand-in-hand with Krungsri’s data governance and data quality teams to customise implementation, design reusable frameworks and align with their data strategy roadmap.
We also built joint governance playbooks and created reference architectures for metadata and lineage management. This ensured that ownership and operational knowledge stayed within Krungsri – a sustainable model that allows the bank to continue expanding its data capabilities independently.
What future technical requirements does Informatica foresee evolving over the life of the partnership?
Looking ahead, we see AI-driven automation and AI governance as the next frontier. Informatica is already embedding AI governance and capabilities to automate metadata discovery, suggest quality rules and detect anomalies in real time.
We also anticipate the need for broader data democratisation – empowering more business users to access governed data confidently, supported by data privacy and classification automation.
Finally, integration with multi-cloud and hybrid ecosystems will become increasingly vital. We plan to have tighter interoperability with Krungsri’s enterprise data lake and analytics stack, ensuring the foundation remains flexible, scalable and future-ready.
