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Driven Brands is the largest automotive services company in North America, headquartered in Charlotte, NC, with more than 4,300 centers across 15 countries. They are the parent company of several leading businesses — Take 5 Oil Change, Meineke Car Care Centers, Maaco, 1-800-Radiator & A/C, and CARSTAR — offering a range of consumer and commercial automotive services, including paint, collision, glass, vehicle repair, oil change, maintenance, and car wash and generating approximately $1 billion in revenue from more than $3 billion in system-wide sales.
With a mission to be the best automotive franchise in the world, Driven Brands has a relentless focus on innovation and growth. While they value boldness, meritocracy, inclusivity, integrity, as well as fun, their overarching goal is to provide exceptional customer service, offering high-quality, reliable, and affordable automotive services.
Driven Brands’ commitment to growth and innovation has helped establish them as a leader in the industry, servicing more than 50 million vehicles annually. Their dedication to excellence and customer satisfaction ensures that they will continue to be a major player in the automotive services industry for years to come — especially as they continue the growth trajectory they are on.
Driven Brands is focused on increasing their market share, while also prioritizing the development of co-branding opportunities and providing increased value to franchisees. To achieve these goals, Driven Brands needs reliable and timely financials to understand the contribution of each brand, the profitability of franchises, as well as customer behavior across the business. This includes access to data that can provide visibility into:
With access to this data, Driven Brands can make informed decisions to drive growth and success in all areas of the business.
Business units across Driven Brands had varying levels of data and analytics maturity. There wasn’t a standard, centralized way to handle data across their brands, divisions, and franchises, and the absence of a solid data strategy and foundation made it difficult to maintain consistency and reliability of their data. As a result, they could not get the insights they needed to run the business.
More specifically, Driven Brands experienced challenges with:
To address these challenges, Driven Brands sought help with stabilizing and modernizing their entire data and analytics environment, establishing internal processes, and migrating from a legacy tool to a more modern platform.
Analytics8 worked with Driven Brands to upgrade and modernize their analytics capabilities across multiple business units — Carwash; Repair and Maintenance; Paint, Collision, and Glass; Platform Services; and Corporate — and implemented central tools that spanned the company.
To address the immediate needs of specific business units and bring them fast time-to-value, we put in place a data team that included data engineers and data analysts who worked to improve processes and glean immediate insights necessary for daily operations.
In addition to operating as data team for Driven Brands, we also helped in many unique ways including:
Throughout the engagement, we evolved the team as each unit progressed, meeting them at their current level, and making progress in parallel via different business unit needs.
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Our solution for Driven Brands involved working across multiple divisions and brands, unifying data for improved analytics, while also addressing the specific needs of each brand. Our approach included implementing best practices to provide consistent user experience, accurate reporting, and reliable information for governed self-service.
We provided multiple dashboards that offered Driven Brands more insight into their acquisitions, along with several other benefits, including:
With updated and modernized analytics capabilities, Driven Brands can now make informed decisions based on reliable data, leading to increased revenue and a more competitive business.
Schedule a meeting with one of our data analytics experts who will review your data struggles and map out steps to achieve data-driven decision making.
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