The Client
A real estate investment firm operating across self-storage, residential, and industrial properties. The firm's BI platform had become a bottleneck — handling not just reporting but also data ingestion and transformation, creating fragility and limiting the organization's ability to use data beyond traditional dashboards.
The Project
VisionWrights partnered with the client to redesign their data infrastructure, decoupling ingestion and transformation from their BI platform and moving those processes into an in-house data lake — without disrupting existing reporting access. The work required careful sequencing to ensure business continuity while fundamentally restructuring how data moved through the organization.
The new architecture separated concerns cleanly: raw data lands in the lake, transformation happens in a governed pipeline, and the BI layer reads from clean, structured outputs. This design gave the business the flexibility to support new use cases — including AI and machine learning — without rebuilding their reporting.
The Result
The client reduced BI infrastructure costs while gaining greater control, flexibility, and scalability. The new architecture improved performance, supported consistently accurate data, and enabled the business to reuse data for initiatives beyond traditional BI reporting — including early-stage AI explorations.
- ✓BI infrastructure costs reduced through architectural optimization
- ✓Data ingestion decoupled from reporting for greater flexibility
- ✓In-house data lake established for scalable, governed data pipelines
- ✓Existing reporting access maintained throughout the transition
- ✓Foundation established for AI and machine learning initiatives