Case Study
Author: Chris Holahan | 5 minute read
Complex organizations with multiple locations, such as retailers and service providers, face pressure to use data to enhance profitability. Winning Formula helps by analyzing diverse data sources, clustering locations, and identifying success drivers. This process involves developing benchmarks, staffing models, and dashboards to support leaders. Recommendations focus on optimizing performance by adopting practices from high-performing locations, leading to significant improvements: $640MM in revenue, $570MM in profit potential, and a 12.7% increase in EBITDA at 1,700 locations.
The Opportunity
Complex organizations with multiple locations like retailers, field sales organizations & service providers are under intense pressure to use data to improve the profitability of the locations across their networks.
The Approach
Ingest a wide spectrum of data sources to understand success drivers & attributes that successful locations are using to increase productivity & profitability.
Winning Formula provides insights, benchmarks & clear actions to give options to leaders that will elevate productivity throughout an organization’s network.
- Gather data & insight from stakeholders throughout the organization to understand the performance drivers, available data & overall organizational priorities
- Analyze data by combining separate datasets into a single combined database, cluster locations into groups of ‘like’ locations
- Run correlations to understand drivers of success within each cluster & produce recommendations for staffing, role execution & productivity optimization
- Develop benchmarks to create Size of Prize for optimizing location performance, create staffing models & dashboards to support cross-organization leaders
“Thanks for the incredible partnership.”
Chief Merchandising Officer
The Outcome
Winning Formula recommendations included recommendations to improve revenue & profit by following the best practices of high-performing ‘like’ locations.
Revenue improvement of $640 MM across 1700 locations.
Profit potential an additional $570 MM across 1700 locations.
Location specific EBITDA% 12.7 percentage points higher.
Meet The Team
Chris Holahan
