Modernizing Legacy Systems & Enhancing Access Control
Location: USA
Industry: Real Estate
Project Background
Our client is a prominent player in the rental industry based in the USA and offers comprehensive solutions for property managers, landlords, and real estate agents. Their services span the entire applicant lifecycle, from lease application and resident screening to securing renters insurance and fostering a thriving community.
The client approached us with a critical challenge – their existing legacy system was outdated, posing limitations in terms of access and functionality.
Challenges
- The old legacy system lacked modern features and scalability, which posed significant access limitations for the client.
- The client was facing challenges to efficiently serve their customers and manage the applicant lifecycle.
- The need for enhanced access control and improved usability was paramount.
Solutions
- We proposed a comprehensive solution by migrating the outdated legacy system to Power BI, a powerful business intelligence platform.
- Approximately 30 to 35 legacy components were seamlessly moved to the Power BI workspace.
- We meticulously enhanced the existing applications and successfully deployed the new system.
- We implemented robust access control mechanisms and fine-grained permissions within the Power BI environment.
- We collaborated with the client's front-end teams, ensuring a cohesive and seamless integration of the back-end and front-end components.
Results
- With the new system in place, they experienced a boost in efficiency, improved data accessibility, and streamlined applicant lifecycle management.
- The Power BI implementation enabled them to leverage advanced analytics, gain valuable insights, and make data-driven decisions.
- The client gained more control and granular access to its data and reporting capabilities.
- The collaborative approach between our team and the client’s front-end teams ensured a seamless transition and maximized the benefits of the new system.
Tech Stack
- Power BI
- SQL Server
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