Case Study · Retail bank × Linkroad
Data Fabric Lakehouse Implementation
Retail bank | Financial Services | Banking
Linkroad partnered with a Portuguese retail bank to modernize its data infrastructure by implementing a Microsoft Data Fabric Lakehouse Platform. This initiative involved defining blueprints and frameworks to create a robust data analytics architecture.
The project focused on enhancing data enrichment, optimizing data processing, improving time to action, boosting agility, and enabling intelligent automation. The solution provides the bank with a foundation for advanced analytics, improved data quality, and streamlined data governance, crucial for a competitive edge.
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Solution
Blueprints and frameworks, then the platform.
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Approach: Microsoft Data Fabric Lakehouse Platform with blueprints and frameworks for data analytics.
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Components: Microsoft Fabric components enhancing data enrichment, agility, and intelligent automation.
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Frameworks: DataOps and data monitoring accelerators, plus FinOps @Fabric toolkit for resource optimization.
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Delivery: Agile hybrid methodology with DevOps practices and ITIL principles for comprehensive service management.
About the client
A Portuguese retail bank
The bank runs analytics across business units on a data estate that is now built on a governed Microsoft Fabric Lakehouse architecture, with data governance and quality frameworks under banking regulatory compliance. Client name withheld under confidentiality.
Financial services · Banking
Impact
What the programme delivered
01
Enhanced data enrichment
Enhanced data enrichment, agility, and intelligent automation across the bank’s data operations.
02
Improved data availability
Improved data availability for various business units, optimizing data quality and governance.
03
Optimized processing and governance
Optimized data processing and governance, boosting operational efficiency and establishing a foundation for continuous innovation.
Technology
Microsoft Fabric, end to end.
Platform
Microsoft Fabric, Lakehouse Architecture.
Language / Stack
DataOps, DevOps, ITIL, FinOps @Fabric.
Scope
Enterprise-wide data infrastructure across the bank’s financial services.
Other
Data governance, data quality frameworks, banking regulatory compliance. Client name withheld under confidentiality.
Better analytics start with better data architecture.
We can walk through how a Fabric Lakehouse blueprint would work across your own data platform and governance model.