Banking · Insurance · Asset Management
In financial services, data is worth more than the products. It should be treated that way.
Across banking, insurance, and asset management, the organizations that win are the ones that turn fragmented financial data into a single, governed, trusted source for reporting, compliance, and AI.
The engagement
A partner who understands Financial Services.
No one spends the first month explaining financial services to us. The team arrives knowing the sector's systems, regulations, and reporting rhythms, then builds the data models, governance, and dashboards alongside in-house teams, against the metrics they already answer for.
- A single governed warehouse consolidating fragmented banking, insurance, and asset data
- Automated regulatory and structured external reporting, auditable end to end
- Self-service analytics so teams decide on current, reliable numbers
- AI use cases prioritized against risk, compliance, and return
What we stand up
The foundation a financial services practice runs on
The capabilities we put in place, and how fast. Measured results from a real financial services engagement are in the featured story below.
Challenges we solve
What Financial Services teams are up against
The recurring problems we hear, and how we resolve them.
Fragmented data sources
We consolidate complex financial data into a single, governed enterprise warehouse.
Manual compliance reporting
We automate regulatory and structured external reporting from one governed source.
Decisions on stale data
We deliver self-service analytics so teams act on current, reliable numbers.
What gets delivered
Deliverables
Tangible outcomes engineered to move the metrics that matter.
Enterprise data warehouses
Scalable, governed foundations for analytics across the business.
Self-service analytics
Internal analytics and structured external reporting from one source.
Regulatory reporting
Automated, auditable compliance reporting.
Analytics & AI use cases
From product evaluation through to AI use cases across departments.
Stack
Tools & technologies
The Snowflake-first stack we reach for in this sector.
Banking · Insurance · Asset Management
Built for Financial Services, on Snowflake.
Built for the regulators
Featured engagement
How we delivered for Financial Services
A real engagement, start to finish: the challenge, the build, and the outcome. Client names are withheld to protect confidentiality.
InsuranceA financial services organization · Americas
Governed, AI-ready data for financial services on Snowflake
A claims processing company was sorting documents from many insurance providers by hand, causing delays, errors, and lost files. Using Snowflake Cortex AI functions like AI_EXTRACT, Viewnear automated classification and data extraction, lifting accuracy from 60% to 95% and cutting per-document handling to four seconds.
60→95%
Classification accuracy
4 sec
Per-document classification
40%
Discarded documents recovered
95%
Fewer classification errors
Let's stand up a lasting data & AI practice.
Tell us where the organization stands (migrating, scaling, or shipping AI) and we'll map the fastest path to use cases in production, run by in-house teams.