Supply Chain Analytics & Data Quality for Leader in Home & Security Solutions

Understand depth of data quality issues across integrated supply chain
- Complex business processes based on regional and sales team differences across 28 plants in 11 countries result in data issues
- Identify materials, customers, and plants with largest data quality issues to prioritize cleanup based on immediate ROI
Reduce financial exposure from inaccurate customer address data to remediate fines and decreased customer satisfaction
Solve export / import issues requiring manual intervention to ship globally

Lack of standardized KPIs across regions
Manual processes – difficult to track and understand impact
Customer addresses and zip codes require manual updates, resulting in carrier fines
Incorrect weights and measures drive unknown costs
Incorrect sourcing codes, resulting in unquantified costs
Procure unnecessary raw materials
Unable to ship due to missing commodity codes, resulting in missed revenue opportunities, additional cost to determine, and customer dissatisfaction

Enhanced data quality and standardization
- Reduced errors by 55%
- Established best practices framework for enterprise data management
Identified potential data accuracy issues with 14% of customers and 20% of materials
Created actionable insights with 6 standard KPIs, providing opportunity to drill down and identify areas with largest issues
Developed data quality analysis and built actionable, easy-to-use dashboards
- Ensured real-time alerts and data quality oversight
- Delivered a savings of $5M via error reduction