Customer Pain Point
A leading bottled beverage manufacturer generates large volumes of complex data—covering water usage, carbon emissions, wastewater discharge, and costs—across its European subsidiaries during bottle production. However, due to delayed data uploads, fluctuations, or anomalies from some subsidiaries, headquarters struggles to gain a comprehensive and accurate understanding of production performance and is unable to promptly identify issues or make informed decisions.
How we solved the problem?
Track Key Data
Monitor critical production and environmental indicators across European bottle manufacturers, including water usage, carbon emissions, wastewater discharge, and costs.
Rapid Anomaly Detection
Quickly identify subsidiaries with missing, abnormal, or statistically deviant data, and provide intuitive visualizations and actionable recommendations.
Standardized Comparison
Enable unified and comparable analysis of production performance and environmental metrics across subsidiaries.
Result
Unified Data Set: Monthly aggregation of production data from all European subsidiaries, enabling centralized management.
Anomaly Identification: Automatic highlighting (in red) of subsidiaries deviating from standards, including abnormal production, missing entries, or extreme values.
Interactive Analysis: Headquarters can easily visualize anomalies, track trends, and obtain actionable improvement recommendations.
Impact
Granularity: Analysis available at the level of company, month, and specific indicators.
Trend Evolution: Historical comparisons enable tracking of production and environmental trends over time.
Cost Efficiency: Reduces manual data consolidation and verification efforts, improving decision-making efficiency.
Solution Perspective
Business: Understand the operations and environmental requirements of the bottling industry, designing visualizations that meet the needs of both headquarters and subsidiaries.
Data Science: Build a unified data model, automatically detect anomalies and missing data, and provide clear analysis and recommendations.
