Databricks

Enabling organisations to get the hidden value from their data

Powering Financial Services With Databricks

A.I is a hot topic in the Financial Services industry, but our clients are realising getting any value from A.I. depends heavily on having the right infrastructure and accurate data in place. We help financial institutions harness the full potential of their data, accelerating their A.I. journey, with Databricks.
 
In financial services, every decision depends on data—whether it’s managing risk, complying with regulation, or creating exceptional client experiences.
 
We partner with you to transform your data estate using the Databricks’ Lakehouse Platform, enabling faster insights, smarter automation, and greater resilience in an increasingly competitive landscape.

 

Why Databricks For Financial Services?

Databricks is recognised as a world leader when it comes to managing data challenges at scale. The platform combines the best of data lakes and data warehouses into a single solution, and is designed to manage and analyse massive volumes of structured and unstructured financial data.

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Unified data management

Create data contracts in the Databricks Unity Catalog. See all of your data in one place.

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Scalability

 Handle petabytes of transaction, market, and client data with ease.

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Data Governance

Maintain data transparency, lineage, and compliance for regulatory reporting. Govern your data in once place.

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Advanced analytics & AI

Once you are in control of your data, build on the asset to produce actionable insights and drive your business with information led intelligence.

Our services

We aim to provide more than the average Databricks engineers. Whilst we have certified and experienced experts, we recognise that the generic work that can be done on the platform is not where our experts are best directed. As such, we aim to make the best (Databricks)...better. We do this by providing a number of engineered solutions that work seamlessly with Databricks, to help our clients get results faster.

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Data strategy & architecture

Our certified Databricks architects align Databricks solutions with your business priorities, ensuring your data architecture is secure, compliant, and future-ready.

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Data quality tooling (Our DataVeritas solution)

We have designed, built and are able to deploy a data quality validation solution that significantly improves an organisations’ data quality and reduces the need for large data cleansing teams. This solution can also be enhanced with the Quantexa Unify solution. Ask us for more details as to how this can significantly support your data quality efforts.

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Databricks Lakehouse implementation

We recognise that getting an implementation right is critical to get the best from Databricks and your investment. Our engineers help our clients build and optimise Databricks Lakehouse environments that unify fragmented data systems and deliver data that can be used for real-time, actionable insights.

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AI & machine learning

From credit risk modeling to fraud detection and algorithmic trading, to enhancing operational efficiency, we advise clients how best to use the data sets that Databricks holds.

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Regulatory & ESG reporting

Our teams are not just focused on data. We also know how to use it and apply it to specific use cases. Ask us about our CSRD reporting solution, and how you can integrate Databricks and Alteryx into a solution that significantly improves your data quality. 

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Capability building

We train teams to ensure they get the best from Databricks, ensuring self sufficiency and lasting benefit from the investment.

Schedule a discussion

Case Studies

Digital transformation for a fast-growing fintech

Digital & Transformation | Fintech

Process optimisation and automated accounting for a tier-1 global bank

Digital & Automation | Banks

Global month end close for a tier-1 global bank 

Digital & Automation | Banks

Private equity deal pipeline

Data | Asset & Wealth Management

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