Implementing a Data and Analytics Program in a Manufacturing Environment

Published On:
November 21, 2019
Authored By:
APQC
Member Only Content:
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A manufacturing organization wanted to move to a more innovative and collaborative operating model, but its complex data environment made it a challenge to gain a holistic understanding of business processes and needs. To combat this, they implemented a data and analytics program that provides a suite of consultative services that allow the organizations to apply data-driven decisions at the site and enterprise level. Read this blinded case study to learn how the organization:

  • Streamlined 60 transactional data sources into a centralized data architecture
  • Developed self-service analytics and reporting tools for operations, HR, and finance
  • Reduced costs in labor, material spend, and freight
  • Improved accuracy and efficiency in order and sales forecasting