After gaining a deep understanding of the business problems you’re aiming to solve, we gather all relevant data and reporting requirements to initiate the data builds that will support your data journey.
Our process begins with a comprehensive data discovery phase, where we assess your existing data sources and reporting environment. From this analysis, we produce detailed data mapping and data lineage documentation—which serve as the blueprint for designing a robust and scalable data model.
Our Data Modeling Approach Includes:
- Business-Aligned Design
We model your data based on clearly defined reporting requirements aligned with your company’s KPIs. Recognizing that business needs evolve, we follow an agile methodology to adapt quickly and continuously improve.
- Best Practice Modeling
We primarily use star schema modeling to adhere to industry best practices. In exceptional cases—where simplicity is preferred or required—we may implement a flattened table structure.
- Layered Architecture (Bronze, Silver, Gold)
To ensure clarity and maintainability, we structure our data builds into three distinct layers:
- Bronze Layer: Raw data ingested directly from source systems.
- Silver Layer: Data cleansing, transformation, and application of business logic.
- Gold Layer: Curated, business-ready data models for self-service analytics and reporting.
To promote strong data governance and minimize key-person risk, we thoroughly document every step of the process, ensuring transparency and long-term maintainability.
Finally, before launching your new data environment, we provide comprehensive training and support to ensure your team knows exactly how to use and get the most value from the solution.