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

A-Team Insight Blogs

Video: From Silos to Strategy — Rocket Software’s Michael Curry on the Data Maturity Playbook

Subscribe to our newsletter

According to Michael Curry, Rocket Software’s President of Data Modernisation – data management has grown up. The job now isn’t to just accumulate and store data, but to see it, trust it, and use it regardless of where it lives. Leading teams now map end-to-end data flows, enforce shared definitions, and assign clear ownership so quality travels with the data.

The big shift is from “data protectionism” – locking data away for compliance and security – to “data leverage”. He argues that utilisation is now existential: companies are racing to extract value, not just guard the asset. Outcomes have moved beyond risk reduction to top-line growth – “finding alpha” in capital markets and radically improving customer experiences as GenAI makes previously hard-to-reach data AI-ready.

The real drag is organisational inertia, breeding poor data quality, strategy gridlock, poor customer experience, and lost competitive edge. To cut through the status quo, Curry advises to tie investments to hard business ROI – improved conversion, lower churn, shorter cycle time – rather than operational “plumbing” like storage savings. And to be AI-ready, build a documented ground truth: catalogue your data, define it, and ensure completeness and accessibility across the enterprise.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Data Fabric vs. Data Mesh: 10 Companies Provisioning Modern Data Architectures for Enterprise AI

As institutions absorb ever greater volumes of data to meet their increasingly complex operational needs and those of regulators, they face a dilemma of how to store and distribute that critical information. Fragmented legacy systems have long been an impediment to the smooth management of data and now corralling multiple-cloud configurations can be added to...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...