About Client:
Our client, a billion-dollar home leasing company, dominates the real estate market with over 100,000 rental homes scattered across the United States.
Background:
Operating as a multi-billion B2B leasing enterprise with ambitions for continuous growth, our client faced a daunting challenge in managing their data.The need to centralize data governance arose from the significant challenge of updating data from multiple sources. Given the critical importance of data governance in ensuring data quality, security, and compliance, our client sought a solution to modernize their data architecture. They approached us with the goal of ingesting data from SQL to Snowflake, aiming for robust data governance practices that could handle complex analytical tasks, streamline operations, and facilitate efficient data ingestion.
Challenges:
- Inconsistent Data Quality: An absence of standardized data quality procedures led to inaccuracies in analyses and decision-making processes.
- Lack of Data Governance Framework: The absence of a robust data governance framework resulted in data disorganization, security vulnerabilities, and integration challenges.
- Complex Data Integration: Managing data from nine different sources, with plans for future expansion, required a scalable and adaptable data architecture. The absence of such architecture hindered the client’s ability to obtain accurate reports for informed decision-making.
