Building an effective data strategy for sustainable growth in financial services

Feb 20, 2025

2 min read

Information is a strategic asset in any organisation, and in financial services it is one of the most important.

Many firms still struggle to align their data capabilities with their wider business ambitions. This article explores how to build an effective data strategy, from aligning data with business goals to proportionate governance and practical next steps. It shows how firms can use data to innovate, improve customer experience and build a lasting competitive advantage.

Stylised financial dashboard showing Profit & Loss bar charts and financial health gauge.

Why data strategy matters in financial services

Financial services organisations are under significant pressure to innovate and stay ahead, and data sits at the centre of that challenge as arguably their most valuable asset. Despite heavy investment, many firms are held back by disjointed data initiatives, organisational silos, distributed technology, weak governance and poor alignment with business strategy.

The issue is rarely a shortage of data. It is the lack of strategic, efficient data management. For firms looking to make use of AI, advanced analytics and personalisation, an integrated approach aligned to the business is essential.

Aligning data strategy with business goals

Many financial services firms still operate with fragmented data strategies that neither reflect nor support their business priorities. This leads to duplication, inefficiency and missed opportunities.

The role of proportionate data governance and management

Strong data governance and management is a strategic requirement as much as a regulatory one. Poor governance leads to errors, compliance risk and loss of trust. Governance done well underpins data quality, streamlines operations and improves decision-making.

Gartner research (February 2024) predicts that 80% of data and analytics governance initiatives will fail by 2027. The research notes that governance which does not enable prioritised business outcomes is unlikely to succeed.

Practical steps to build an effective data strategy

To build the right data strategy, organisations should:

Define business goals clearly and make sure the data strategy directly supports them.
Understand which data supports which function, service or outcome.
Know where information is stored, with clear ownership in place.
Prioritise data investments that offer clear value and return, and avoid working in silos.
Establish proportionate governance to maintain data quality and regulatory compliance.
Identify use cases for AI and analytics that create competitive advantage.
Review data initiatives regularly to confirm they remain aligned.

Building a data strategy is a journey, and there is no need to solve for everything at once.

"A well-defined data strategy directly impacts your ability to innovate, manage risk, and drive growth," says Charles Symonds, CEO at Alirity. "Firms that strategically invest in their data foundations are far better equipped to respond to market changes and meet evolving customer needs."