Four data challenges in
financial services
Data governance and management
Lack of data agility and model reproducibility makes it challenging to meet the regulatory requirements unique to financial services.
Deeper customer insights
Data silos prevent a complete view of customer behaviors, cross-selling opportunities and the insights needed for hyper-personalization at scale.
Real-time decisions
Vendor lock-in and disjointed tools hinder the ability to do real-time analytics that drive and democratize smarter financial decisions.
Access to third-party data
Legacy technologies can’t harness financial and customer insights from fast-growing unstructured and alternative data sets and don’t offer open data sharing capabilities to fuel collaboration.
Lakehouse for Financial Services
Unified data and AI platform
A single platform that brings together all your data and analytics workloads to enable transformative innovations for modern financial services institutions.
Partner solutions
The world’s leading solution providers are building for the Lakehouse for Financial Services. Take advantage of pre-built offerings that accelerate data-driven transformation.
Tools to accelerate business outcomes
Databricks and its partners have created a full range of Solution Accelerators that make it easy to tackle common financial services use cases, from ESG investing to fraud prevention.
Industry collaboration
Enable secure and open data sharing with our data ecosystem — featuring S&P Global, Intercontinental Exchange, FactSet and Nasdaq — to unlock innovations that drive sustainable value creation.
Transforming financial services with
Lakehouse
“Nasdaq’s data and AI vision is powered by Databricks Lakehouse. We use it to process huge amounts of complex financial and alternative data to create data and insights for our clients. Databricks is also an important part of our efforts to modernize data delivery and consumption. It enables us to seamlessly deliver data directly into analytical workspaces, so our clients can analyze and integrate mission-critical data quickly without having to move terabytes of data around.”
— Bill Dague, Head of Nasdaq Data Link, Nasdaq

Why Lakehouse for Financial Services?
Unify data and AI on an open and collaborative platform that empowers you to minimize risk, deliver superior customer experiences and accelerate innovation
Governed approach to risk management and compliance
Simplify the complexity of regulatory reporting, risk
management and compliance by securely streamlining the
acquisition, processing and transmission of data to
empower better data governance practices.
Personalized products and services
Unify a variety of data — from market to alternative data —
enabling hyper-personalized experiences that drive cross-
selling opportunities, customer satisfaction and share of
wallet.
Real-time insights, smarter decisions
Rapidly ingest all your data sources at scale to make better
investment decisions, quickly detect new fraud patterns
and bring real-time capabilities to risk management
practices.
Open data sharing and data monetization
Bring together vast amounts of internal and third-party data
to share innovative financial solutions, monetize new data
products and deliver advanced analytics capabilities to any
cloud or tool without getting locked into proprietary
technologies.
Partners and solutions
Move toward open formats and the standardization of data for analytics and AI
Lakehouse for Financial Services in action
Winning together: How Data + AI is driving collaboration in the Lakehouse
Resources
eBooks and Infographics
[Infographic] Data to Anchor a New Age of Risk Management →
Learn how to easily tap into the power of data and AI in financial services →
Leveraging alternative and third-party data in financial services →
Taking ESG from buzzword to reality with data analytics and AI →
Preventing fraud with Data + AI: A primer for modern threats →
Videos and downloads
Blogs
Accelerator for banks and fintechs using credit card transactions →
A data-driven approach to environmental, social and governance →
Building a modern risk management platform in financial services →
Using your data to stop credit card fraud: Capital One and other best practices →
Strategies for modernizing investment data platforms →
Improving the customer experience with transaction enrichment →
Ready to get
started?
We’d love to understand your business goals and how our services team can help you succeed.

