Data Systems for Finance
A data platform leadership can trust.
Strategy and AI for wealth, lending, brokerage, and financial services operators.
Why finance operators engage SAZ for data systems.
SAZ data engagements build the data platform a modern business needs — warehouse, pipelines, modeling, governance, and reporting — so the analytics and AI investments downstream actually pay off.
Financial services operators — wealth, lending, brokerage, fintech — are under pressure from rates, regulation, and AI-native entrants. SAZ helps financial services firms modernize systems, build AI-powered workflows, and accelerate growth under OSC, IIROC, and OSFI frameworks.
What finance operators get from data systems.
A unified, governed data warehouse
Reliable pipelines and metric models
A governance and quality practice
Trusted reporting and analytics
What SAZ ships for finance engagements.
Warehouse
BigQuery, Snowflake, Redshift, Databricks.
Pipelines
Fivetran, Airbyte, custom — picked for the case.
Modeling
dbt, semantic layer, and metric definitions.
Governance
Quality, lineage, and access controls.
How we extend this service for the industry.
Standard Data Systems delivery, calibrated for finance workflows, economics, and compliance.
AI Onboarding
KYC, intake, and onboarding automation under regulatory constraints.
Research Assistants
AI assistants for research, reporting, and client communications.
Client Experience
Multi-channel client experience systems.
Compliance Automation
Compliance, audit, and reporting workflows.
Data Systems for Finance — questions.
Engage SAZ for data systems in finance.
Email info@Sedighi.ca or call (604) 632-4959. Senior partner response within one business day.