Bridging Enterprise Data to Business.
Your data is everywhere. Your business shouldn't have to search for it.
DataSetu connects complex enterprise data ecosystems and turns fragmented data into trusted, business-ready platforms for analytics, AI, and growth.
From Data Complexity to Business Value
Connect
Applications, databases, cloud platforms, APIs, files, and legacy systems.
Organize
Governed, scalable data foundations.
Transform
Raw enterprise data into trusted, usable information.
Activate
Data ready for analytics, AI, reporting, automation, and decisions.
Building the bridge between data and business.
Enterprise data is everywhere. Business value shouldn't be. We connect it, govern it, make it trustworthy, and deliver it where the business needs it.
Learn more →सेतु
We provide the services your data needs
Data Architecture
- Enterprise data architecture
- Lakehouse architecture
- Platform strategy, modeling, governance
Cloud Modernization
- Azure, AWS, Databricks, Microsoft Fabric
- Legacy modernization
- Cloud migration
Data Engineering
- Batch, streaming, CDC, ETL / ELT
- Pipelines, data quality, reconciliation
- Automation
Guidewire Data
- ClaimCenter & Cloud Data Access
- Guidewire → Databricks
- Architecture, modernization, analytics
Analytics & AI
- Data products & Power BI
- AI / ML
- Enterprise AI readiness
Custom Solutions
- Custom enterprise data platforms
- Automation tailored to your business
Consulting + proprietary technology
GW CDA Accelerator
A reusable, automation-first ingestion foundation for Guidewire Cloud Data Access, engineered for Databricks.
Data bridges, built
Enterprise Insurance Data Modernization
From Guidewire source data to an analytics-ready enterprise data platform on Databricks.
Guidewire → Cloud Data Access → Databricks → Enterprise Data Platform → Analytics
Read case study →Legacy Data Platform Modernization
From aging ETL and on-premises databases to a scalable cloud data platform.
Legacy ETL → Legacy Database → Cloud Data Platform → Analytics
Read case study →Enterprise CDC Platform
Near-current data from operational systems, delivered to the lakehouse through change data capture.
Source Systems → CDC → Lakehouse → Analytics
Read case study →What clients say
“Placeholder: add an approved, anonymized client quote here.”
— Insurance enterprise, Data Platform Lead
“Placeholder: second testimonial after written client permission.”
— Enterprise client, Head of Analytics
“Placeholder: third testimonial.”
— Enterprise client, Architect
Let's build your data bridge.
Tell us what you're trying to modernize, integrate, automate, or build.
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