Why Databricks for financial services?
Databricks combines the best of data lakes and data warehouses into a single platform, designed to manage and analyse massive volumes of structured and unstructured financial data.
Its Lakehouse architecture is ideally suited for the sector’s most pressing needs.
Databricks empowers financial institutions to not just manage data, but to turn it into a strategic driver of growth and trust.
Unified data management
Break down silos between risk, compliance, trading, and customer data
Scalability
Handle petabytes of transaction, market, and client data with ease.
Governance & security
Maintain transparency, lineage, and compliance for regulatory reporting an
Advanced analytics & AI
Leverage built-in machine learning and AI to predict risks, detect fraud, and personalise services.
Our services
We provide end-to-end Databricks services designed for financial institutions at every stage of their data journey.
Data strategy & architecture
We align Databricks solutions with your business priorities, ensuring your data architecture is secure, compliant, and future-ready.
Data quality auto-validation tooling (Our DataV solution)
We have designed, built and deployed a data quality validation solution that significantly improves an organisations’ data quality and reduces the need for large data cleansing teams.
Databricks Lakehouse implementation
We build and optimise Databricks Lakehouse environments that unify fragmented data systems and deliver real-time, actionable insights.
AI & machine learning
From credit risk modeling to fraud detection and algorithmic trading, we design and deploy AI use cases powered by Databricks’ ML capabilities.
Regulatory & ESG reporting
Automate reporting processes with governed pipelines that support compliance with international standards like IFRS, Basel, and CSRD.
Operational efficiency
Use Databricks to automate KYC/AML checks, improve portfolio analysis, and enhance customer engagement.
Capability building
We train risk, compliance, and analytics teams to get the most from Databricks, building lasting internal expertise.
