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Intelligent Data Integration for
US-Based Home Care Organization

67,000+
homecare patients

58,000+
caregivers

72 million+
hours served
annually

190+
locations; nationwide
presence

Business Case

The client pursued rapid growth through strategic mergers and acquisitions (M&A), acquiring 12 homecare entities. Each acquisition brought its own distinct payroll, EMR, and HR systems. This led to several challenges like

No Single Source of Truth

across payroll, EMR, and HR systems

Siloed, inaccessible data,

delaying decision-making and ROI

Inconsistent KPI tracking

across 30+ metrics for clinical, scheduling, and compliance

Impact Delivered

8–10 Weeks

Rapid data integration for each acquisition

100% Data
Accuracy

AI and automation ensured data integrity from day one

32 Systems →
1 Warehouse

Democratized 32 systems into single scalable, centralized warehouse

Our Solution

We developed a tailored M&A data integration framework focused on speed, scalability, and data integrity; comprising of

Discovery Workshops

Aligned with client teams to map key metrics and use standardized definitions across systems

AI-Powered De-Duplication Framework

Ensured accurate ROI tracking by distinguishing overlapping client records

Snowflake-Powered Architecture

Enabled fast, scalable onboarding of new acquisitions

Automated Data Quality Checks

Delivered clean, consistent, and compliant datasets using data quality checks

Tech Stack

Snowflake

Python

Azure data factory

Power BI

Azure functions