Ensure Master Data Accuracy

In supply chain decision making, companies no longer prioritize cost alone. APQC's research in supply chain planning and analysis of its Open Standards Benchmarking data reveal several drivers of performance that fall into three categories: strategy and culture, process, and technology. 

Within process, a performance driver of supply chain planning is ensuring master data accuracy. The toughest challenges in supply chain planning often concern data: data quality, data collection and aggregation, data granularity, the real-time integration of data inputs, and data analysis.   

Read APQC's Supply Chain Planning: 2025 Blueprint for Success to learn about key performance indicators (KPIs), current benchmarks from top-performing organizations, critical performance drivers, and real-world examples of organizations transforming planning into a strategic advantage.