Process recommendation to centralize performance tracking allowed different stakeholders to gain access to the right level of information
The client wished to define the most effective way to run breweries, develop and hone skills of employees, and implement methods and tools that support improvements in performance and cost. Here’s a breakdown of how the solution was implemented
• Data Exploration: Defined the problem and identified the requirements. Then exploratory data analysis was undertaken to identify and comprehend patterns and eventually, hypotheses were formulated and tested.
• Identifying and driving KPIs: Top KPIs were identified across functions such as logistics, quality, performance, etc. Performance Indicators and Means driving these top KPIs were identified, while the relative importance of each driver was evaluated by utilizing advanced ML techniques
• Determining Areas of Improvement: Potential improvement areas were identified in each brewery, alongside predictive insights to achieve the same. Survey insights supported by action-based rating (a scale of 0-5, with 0 translating to no action taken and 5 translating to 100% on-time problem resolution) helped to track individual plant performance
• Developing tool for implementation: A self-service tool was developed to offer global, zonal and plant-level driver statistics and performance insights to multiple stakeholders from functional heads to plant directors across the globe