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

A-Team Insight Blogs

Making the Case for Master Data Management

Subscribe to our newsletter

Master data management (MDM) is not a new concept for capital markets participants, but it can be an effective approach to data management when financial institutions face rising costs of ingesting, holding and using data, or when they restructure. Its benefits include streamlining workflows, reducing input error, lowering costs and unlocking the full value of data.

The challenges and opportunities of MDM are set out in a recent white paper – The Business Case for Master Data Management Transition Within Financial Institutions – published by A-Team Group and sponsored by Semarchy, provider of a unified data platform supporting MDM, applications data management, collaborative data governance, and data integration solutions.

The paper notes the role of MDM in ensuring the creation of a “single source of truth” of information for banks and financial institutions that not only means the data remains intact, but also makes it available and useable across the enterprise.

Considering why financial institutions need MDM it touches on: cash flow, MDM helps firms more efficiently monetise their data; compliance, assurance that all financial data conforms to compliance mandates; consolidation, combining data streams improves management of customer, partner, product and asset data; and clean data, presented as a single source of truth can underpin clear action.

On a wider scale, MDM can help firms meet expanding demand for access to high-quality data, and respond quickly to changing business demands while ensuring the integrity of the data will remain intact.

Moving on from the discussion of why a transition to MDM may be needed, the paper sets out a five step journey to success. Briefly, you can read more here, the steps comprise: identifying opportunities for MDM; creating a business case; building a governance plan; reviewing of current and future state architecture; and deploying, testing and reviewing the new setup.

In conclusion, the white paper acknowledges that there will be challenges in transitioning to MDM, but there will also be proven benefits of better operational effectiveness, greater efficiencies, reduced costs, and additional revenue generation.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Data Readiness is No Longer Optional for Banks

By Stuart Harvey, Chief Executive of Datactics. In a landscape marked by increasing regulatory scrutiny and accelerating digital change, data has long since shed its role as a by-product of banking operations and is now a critical strategic asset. The speed at which institutions must demonstrate data integrity, quality, and accessibility has made compliance not...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...