Project Name
Databricks Medallion Lakehouse and Unity Catalog Governance for a US Self-Storage REIT
A publicly traded US Self-Storage REIT managing 300+ facilities across 12 states was running its business on five disconnected data systems. Marketing, Operations, Finance, and Leadership each worked from different datasets, producing conflicting reports and pricing decisions built on information that was days out of date. The organization partnered with Ksolves, an AI-First Company, to unify all five sources into a single governed Databricks Medallion Lakehouse on Azure, delivering real-time pricing intelligence, REIT-grade compliance, and 85% faster marketing insights, all within 14 weeks of project kickoff.
The challenges faced by the client are as follows:
- Revenue Blind Spots From Five Disconnected Systems: Google Analytics, marketing platforms, occupancy management, operational records, and financial data all lived in separate tools. No team had a complete view of the business, and every silo carried a direct revenue cost.
- Conflicting Reports Undermining Leadership: Disconnected datasets yielded different occupancy, revenue, and customer counts across teams, leaving leadership to reconcile versions rather than act on insights.
- Marketing Team Flying Blind on Campaign ROI: Without a unified customer data layer, the Marketing team could not measure campaign performance, track acquisition journeys, or optimize spend across channels effectively.
- Reactive Pricing Across 300+ Facilities: Pricing decisions were made manually on information that was 3 to 4 days old. At the scale of 300+ facilities across 12 states, those delays compounded to a significant impact on NOI.
- Governance Gaps Creating REIT Compliance Risk: The absence of centralised data governance meant auditable lineage, consistent definitions, and role-based access could not be reliably maintained, introducing compliance risk into investor reporting and audit workflows.
Ksolves, an AI-First Company, used AI-assisted data profiling to assess all five source systems in hours, then designed and deployed a governed Databricks Medallion Lakehouse on Azure, delivering a production-grade platform approximately 30% faster than a conventional implementation.
- AI-First Architecture Design and Delivery: AI tooling accelerated Medallion layer definitions, Unity Catalog governance policies, and integration mapping across all five source systems.
- Scalable Data Lakehouse on Azure and Databricks: The platform was built on Azure, with Databricks as the unified analytics engine, and is cloud-native, scalable, and ready for future facility growth. [Internal link: Databricks implementation and lakehouse services]
- Medallion Architecture for Clean, Reliable Data: Bronze, Silver, and Gold layers progressively ingested, validated, and curated data, ensuring every report and dashboard was built on a consistent, accurate foundation.
- Unity Catalog Governance- Full Lineage and Access Control: Unity Catalog delivered fine-grained role-based access, end-to-end data lineage, and a unified metadata layer meeting REIT audit and compliance requirements from day one.
- All Five Data Sources Unified: Google Analytics, marketing platforms, occupancy management, operational records, and financial data were integrated into one governed source of truth, eliminating conflicting reports across all teams.
- Enterprise Security With MFA and Azure Identity Management: MFA and Azure IAM were built into the platform as core design elements, meeting enterprise security requirements without compromising usability.
- Role-Specific Analytical Workloads: Marketing gained a 360° customer view, Operations received real-time pricing intelligence, and Finance got the auditable reporting layer required for REIT compliance.
Technology Stack
| Layer | Technology |
|---|---|
| Analytics Platform | Databricks Runtime 13.3 LTS |
| Governance | Unity Catalog with data lineage, RBAC, and metadata management |
| Architecture Pattern | Medallion Architecture with Bronze, Silver, and Gold layers |
| Cloud Platform | Microsoft Azure (ADLS Gen2, Azure Data Factory) |
| Data Sources Integrated | Google Analytics, Digital Marketing Platforms, Occupancy Management, Operational Records, Financial Data |
| Security | MFA, Azure Identity and Access Management, Unity Catalog RBAC |
| Languages / Frameworks | Python, PySpark, SQL |
| AI Tooling | AI-assisted data profiling, schema mapping, Medallion layer design, governance policy generation |
- 85% Faster Insight Delivery for Marketing: Campaign reporting time dropped from 4 business days to under 6 hours, eliminating 18 hours per week of manual reconciliation.
- 5 Data Sources Unified, Zero Conflicting Reports: All five data streams were integrated into one governed Lakehouse, giving every team a single, trusted source of truth.
- 75% Faster Pricing Decisions, 12% RevPAU Uplift: Decision cycles were reduced from 4 days to under 5 hours, driving a 12% improvement in revenue per available unit across 300+ facilities.
- 65% Reduction in Compliance Preparation Time: Unity Catalog lineage tracking and access controls met all REIT audit requirements and reduced quarterly compliance preparation time by 65%.
- Production Platform Delivered in 14 Weeks: AI-first profiling and architecture design shortened the implementation timeline by approximately 30% compared to a conventional Databricks approach.
“We had five systems producing five different versions of the truth. Leadership was spending more time reconciling reports than acting on them. The Databricks Lakehouse built by Ksolves gave us one trusted platform. Within weeks of go-live, our operations team was making pricing decisions based on real-time occupancy data for the first time. The ROI was visible almost immediately.”
Ksolves transformed the client’s fragmented data landscape into a centralized, governed, and insight-ready platform using Databricks and Unity Catalog, accelerating time-to-value by 30% through its AI-first approach.
With a Medallion Lakehouse in place, the client moved from delayed, inconsistent reporting to real-time pricing intelligence and aligned decision-making. The platform now scales seamlessly with business growth, without adding operational or governance complexity.
For real estate operators and REITs, Ksolves Databricks Consulting Services delivers the reliability, governance, and scalability required for data-driven growth. If your organization still relies on disconnected data, now is the time to build a unified foundation.
Turn Your Disconnected Data Into One Governed Source Of Truth
