Modernizing the Data Backbone
A fragmented data landscape reimagined through a Data Platform Modernization effort into a unified, scalable, and analytics-ready backbone.
Overview
A Real Estate organization was struggling with inconsistent reporting, siloed data sources, and a patchwork of manual workflows. Teams were producing insights—yet none could be fully trusted. We redesigned their data backbone to be cleaner, faster, governed, and ready for future analytics and AI.
The Challenge
Years of disconnected systems and team-specific workflows had resulted in a slow, unreliable reporting environment. Leadership lacked a single trusted view of the truth, and teams spent hours reconciling spreadsheets rather than interpreting insights.
- Disjointed datasets and inconsistent pipelines
- Heavy manual reporting effort week after week
- No governed or shared metric definitions
- Infrastructure not ready for AI or predictive workloads
Our Approach
We mapped the entire data ecosystem, traced how information flowed across departments, and rebuilt the warehouse architecture around business domains rather than technical silos.
Unified Data Model
Restructured around real business questions, not systems.
Automated Pipelines
Reliable ingestion + transformation workflows.
Governed Metrics
A single definition for every critical KPI.
Decision-Ready Dashboards
Executive views that highlight what matters most.
Key Outcomes
- Consistent, validated metrics accessible across departments
- Near-real-time automated reporting replacing manual spreadsheets
- A scalable, modular architecture ready for AI and predictive models
Services Provided
- Data Strategy & Architecture
- Data Warehouse Design
- BI Dashboard Development
- Data Governance Implementation
