Project Overview
A leading North American car leasing company, operating a multibillion-dollar business with a fleet exceeding 50,000 vehicles, partnered with Confiz to modernize its data infrastructure. Through rigorous data consolidation and modernization efforts, Confiz prepared the company for advanced business intelligence capabilities while conducting a comprehensive Proof of Concept (POC) and Proof of Technology to generate detailed reports and pave the way for future generative AI initiatives.
The need
North America’s top car leasing company faced significant data management and reporting challenges. Their current data infrastructure hindered their ability to gain valuable insights and make informed decisions. Manual and ad hoc reporting processes were slow and laborious, lacking the visual tools needed to identify trends and patterns.
Long data consolidation cycles and scattered business data led to bottlenecks and isolated silos, hindering a comprehensive business view.
These challenges created a major roadblock, stopping the client from fully leveraging their data to optimize processes and achieve goals. To address this, the client sought a reliable partner to modernize their data infrastructure.
The Solution
The client chose Confiz because of its proven expertise in data and AI services. Confiz began by thoroughly evaluating the client’s existing infrastructure and providing expert consultancy. The project was divided into two phases to ensure a systematic and effective approach toward data modernization.
In the first phase of the project, a pilot run was conducted over three months to demonstrate proof of technology and proof of concept. Our primary recommendation was to implement Snowflake to create a centralized data warehouse, consolidating all their data into a single source of truth.
During this proof of value phase, our experts migrated data to Snowflake, establishing a unified data repository. This process enabled us to create three initial reports. Additionally, we defined the client’s Business Intelligence (BI) journey, setting Key Performance Indicators (KPIs), customizing dashboards, and establishing access controls and visualizations to support informed decision-making. These dashboards were designed to offer an “at a glance” view of the data through Power BI, enhancing the client’s ability to interpret and act on their data insights quickly.
The second phase of the project involved migrating data from multiple sources, including third-party data sources, to the Azure Data Lake Storage (ADLS) bronze layer in an open format. The data lake was chosen to facilitate the application of Machine Learning algorithms, preparing the client to leverage Generative AI technologies in the future.
Continuing our efforts, over the next six months, we created ten additional reports. We migrated the client’s data into the gold layer in Snowflake, ensuring that the client had access to highly refined, actionable data for their advanced analytics needs. This comprehensive approach not only modernized the client’s data infrastructure but also equipped them with the tools and insights necessary for future growth and innovation.
The Outcome
Improved data quality
The client experienced a significant improvement in data quality and reliability, leading to more accurate and trustworthy business insights.
Centralized data repository
The implementation of Snowflake created a single source of truth, consolidating all data and eliminating silos, which enhanced data accuracy and accessibility.
Improved reporting efficiency
The creation of 13 comprehensive Power BI reports streamlined the reporting process, reducing the time and effort required for data consolidation and analysis.
Enhanced decision-making
Customized dashboards and visualizations provided real-time insights, enabling the client to make informed decisions quickly and effectively.
Generative AI readiness
The integration of machine learning algorithms prepared the client to effectively leverage generative AI technologies, setting the stage for innovative advancements.
