Summary
Here’s how Fabius Labs modernized a regional car maintenance chain's use of data analytics and business intelligence to improve real-time business enterprise reporting, increase operational performance, and drive (pun intended) profits.
The Situation
A California-based automotive maintenance chain with 27 locations across four states provides a wide array of vehicle maintenance services from oil changes and repairs of transmissions, power steering, air filters, among others.
Before the company could expand, it wanted better insight into the operational performance of its current stores. However, its data infrastructure was antiquated and siloed and not built to give management an enterprise view of performance across all of its stores.
The company engaged Fabius Labs to assess the current state of its data infrastructure and capabilities; design and install a modern database and data visualization tool; and generate executive-level reports to monitor operational performance across the business enterprise.
It was time to modernize the data infrastructure and generate actionable business intelligence. Here’s what we did:
The Approach
1. SQL Queries.
First, we wrote a series of SQL queries to pull data from a wide array of sources across its 27 stores into one central enterprise database.
2. Operational KPIs.
Next, we worked closely with the client lead to deeply understand the client's business and help identify key operational KPIs to measure and report, such as sales, # of cars, labor hours, and equipment utilization.
3. Tableau dashboards.
Using Tableau, we designed and built operational dashboards that visualized the KPIs in an easy-to-understand format.
4. Business intelligence reports.
The dashboards were translated into real-time business intelligence reports for company leadership to make better-informed decisions on how and where to expand.
The Results
By modernizing the way it manages, analyzes, and reports store data, the company was able to gain a real-time, enterprise view of its operations and successfully orchestrate its expansion into two new states.
Enabled corporate expansion into two additional states
Modernized the company's management and consumption of data from an antiquated system
Provided real-time, enterprise perspective of company stores across the nation
