Enhancing Core Banking Systems Using Microservices and Business Process Management
Banks have been accumulating data for decades. But years of rapid growth layered on top of legacy systems have left many institutions data-rich and insight-poor — unable to modernise their core architectures, unable to get a coherent view of their customers, and falling behind competitors who have.
The risk? Data consolidation projects that charge ahead without a clear framework — creating new silos, governance failures, and migrations that cost more than they deliver.
The solution: A structured, well-governed approach that matches the right consolidation model to your organisation's needs — and executes it without losing control of your data along the way.
Your Data Is Only as Valuable as Your Ability to Use It.
This white paper cuts through the complexity of data consolidation in financial services — helping banks understand their options, avoid the most common pitfalls, and build the data foundations that modern banking genuinely requires.
What Makes This Approach Different
Provides a clear, practical comparison of data lakes, data warehouses, and data hubs
Addresses data governance head-on — not as an afterthought, but as a prerequisite for success
Connects consolidation decisions directly to business outcomes: efficiency, customer experience, and competitive advantage
Draws on Critical Software's software engineering expertise in complex financial data environments
What's Inside This White Paper
How decades of accumulation and legacy dependency have created fragmented, unmanageable data estates
The business cost of poor data quality: bad decisions, compliance exposure, and missed customer opportunities
Why the status quo is no longer a viable option in an increasingly data-driven financial services market
Understanding Your Options: Lakes, Warehouses, and Hubs
What data lakes, data warehouses, and data hubs are — and how they differ
Which model is right for which use case — and why choosing wrong creates more problems than it solves
The hybrid approaches that many banks are adopting in practice
Building a Migration Framework That Works
Why data consolidation projects fail — and how to avoid the most common causes
The key elements of a well-defined migration framework
Managing data quality, lineage, and integrity throughout the consolidation process
Data Governance: Getting It Right From the Start
Why governance cannot be retrofitted onto a consolidation programme after the fact
Establishing ownership, stewardship, and policy frameworks before migration begins
Meeting regulatory expectations for data management in financial services
From Consolidation to Competitive Advantage
How effective data consolidation creates operational efficiency and faster decision-making
Enabling better customer experiences through a coherent, accessible view of customer data
How Critical Software leverages software development expertise to help banks harness their data
Who Should Read This
Chief Data Officers and data architecture leads navigating consolidation decisions
Technology and transformation leads responsible for legacy data migration programmes
Risk and compliance officers managing data quality and governance obligations
Engineering teams designing or implementing financial data platforms