Chicago-based, enterprise-scale
Our headquarters at 111 W. Jackson Blvd puts our consultants close to the financial services, manufacturing, healthcare, and logistics companies that call Chicago home. We work on-site with client teams in the Loop and across the region, backed by a global delivery center in Bhubaneswar, India.
That combination matters for data programs. Architecture and stakeholder work benefit from being in the room. Engineering, testing, and monitoring benefit from follow-the-sun capacity. We staff both.
What we do for Chicago enterprises
Data strategy and architecture
Assessments, target-state architecture, platform selection, and roadmaps that connect data investment to a business outcome. We work with Snowflake, Databricks, Microsoft Fabric, SAP, and the analytics stack your teams already run.
Master data management and governance
Entity resolution, golden records, match-and-merge, survivorship, and the operating model that keeps master data clean after go-live. Our MDM work is built on 4DAlert, our AI-powered data management platform.
Data reconciliation and quality
Automated reconciliation across ERP, warehouse, and analytics systems, with exception routing and audit-ready evidence. Teams use it to close the books faster and to stop reporting from disagreeing across departments.
AI and analytics in production
RAG systems, AI agents, and predictive models grounded in governed enterprise data — with evaluation, access control, and monitoring designed in from the start.
Industries we serve in Chicago
- Financial services and insurance — regulatory reporting, reconciliation, and risk data controls
- Manufacturing and logistics — supply chain data, ERP reconciliation, and operational analytics
- Healthcare and life sciences — clinical and operational reporting with governed, auditable pipelines
- Professional services — client reporting, utilization analytics, and data platform modernization
Why teams choose a local partner
Enterprise data programs fail for organizational reasons as often as technical ones. A local team can sit with finance during close, walk a factory floor, or join a steering committee in person. It shortens the feedback loop between the people who own the data and the people who build the pipeline.
We pair that proximity with a delivery model that keeps engineering moving across time zones, so a decision made in Chicago on Tuesday is tested and ready for review on Wednesday.
Working with us
Most engagements start with a short discovery: your systems, the decisions the data should support, and the gaps in between. You leave with a scoped plan, not a generic pitch deck.
We work with enterprise teams and with mid-market companies that have outgrown spreadsheet-based operations. Engagements range from a focused reconciliation deployment to multi-year platform modernization.
Chicago data consulting — frequently asked questions
Where is Performalytic located in Chicago?
Our headquarters is at 111 W. Jackson Blvd, Suite 1700, Chicago, IL 60604, in the Chicago Loop. We also have a global delivery center in Bhubaneswar, India.
Do you work on-site with Chicago clients?
Yes. Architecture, discovery, and stakeholder workshops are typically delivered on-site or hybrid. Engineering and monitoring can be delivered remotely or embedded with your team.
What size of company do you work with?
We work with enterprise organizations and with mid-market companies that have complex data landscapes — typically multiple source systems, a warehouse or lakehouse, and a reporting layer that needs to be trusted.
How quickly can a project start?
Discovery can usually begin within two weeks. A first production release for a focused reconciliation or CI/CD deployment typically takes weeks, not quarters, depending on system access and review requirements.