Table of Contents
Food and Beverage Industry Case Study – Why effective Materials Master Data Management is critical for improving New Production Introduction and Supply Chain Readiness
As highlighted in this case study, New Product Introduction (NPI) is one of the most important business processes in the Food Products organization. The NPI process incorporates several materials-related Master Data Management processes, including the creation of core master data (Material numbers, Descriptions, UPC/GTIN, Units of Measure…, etc.) and information related to Sales and planning, Finance, Purchasing, R&D, Production Planning, and Transportation.
The process is quite cross-functional and often takes a long time and coordination before the Material(s) and related information are ready to be used in operations and supply chain management. Learn more about how the organization has simplified and streamlined Master Data Management aspects of New Product Introduction.
Specialty Chemicals Industry Case Study – Learn why different processes and workflows are needed to support the Material, Customer, and Supplier Master Data needs of various countries
While implementing a single standardized process may seem advantageous, especially for consistency, it can quickly become complex when accommodating the needs of 20 different countries and 20 plants. Each region and facility may have unique requirements, making the standardized approach unwieldy. This complexity also makes introducing improvements and changes particularly challenging, as an adjustment in one area can ripple across other regions, potentially creating unintended consequences. Additionally, the adoption process under a single, uniform system becomes increasingly difficult and less effective, given the diverse regional variations and needs.
Learn more about how an industry leader in Specialty Chemicals has adopted a strategy of using different workflows for different regions/plants to improve agility and flexibility.
Consumer Products Case Study – Pursuit of Perfect Master Data
The ideal number of master data errors is zero. Learn more about the strategy and approach that the consumer products organization used to support the pursuit of perfect master data.
High-tech Supply Chain Case Study – Improving Master Data Management in NPI Engineering, Component Engineering, and Supply Chain Collaboration
Learn more about how Master Data Management is integral to day-to-day business processes in NPI Engineering, Component Engineering, and Supply Chain Collaboration in the High-tech industry.