About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Informatica Builds Out Data Governance Through Diaku Acquisition

Subscribe to our newsletter

Informatica is building out its data governance capability following the late February acquisition of UK data governance software and consulting company Diaku. The company has introduced Informatica Axon, a solution based on Diaku’s flagship Axon data governance technology and integrated the software with its Intelligent Data Platform.

The integration adds data governance to data quality, master data management, big data and cloud options already on the Intelligent Data Platform and provides a solution for data governance and compliance for regulations such as General Data Protection Regulation (GDPR), Comprehensive Capital Analysis and Review (CCAR) and BCBS 239.

Amit Walia, executive vice president and chief products officer at Informatica, says: “Informatica Axon is set to be a market-disrupting force, with the promise of being particularly game-changing for financial services, healthcare and other industries with intensive governance requirements. By integrating offerings such as Informatica Data Quality, Informatica MDM, Informatica Enterprise Information Catalog and Informatica Secure@Source with Informatica Axon, we are addressing enterprise data governance needs with a solution with depth and breadth of functionality, and embedded data governance expertise.”

Informatica Axon is designed to meet both technical and business needs for data governance by providing a holistic view of data governance programmes and progress, collaboration between business and technical staff to meet data governance goals, and a unified approach to data governance categories such as regulatory compliance, obtaining optimal value from data, and line-of-business data governance. The solution can be deployed in the cloud or on-premise.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

Data Now Front and Centre of Fixed-Income Trading, Bloomberg Forum is Told

As the operations of buy-side traders and their sell-side counterparts increase in complexity, their data needs have surged. Technology that has made it possible to compress the work they do into shorter time scales and with more effective outcomes, requires large volumes of information that is either generated by their own systems or has to...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...