Enabling Data Trust and Efficiency in Manufacturing Through Master Data Management

Enabling Data Trust and Efficiency in Manufacturing Through Master Data Management
Solution Data Governance & Security
Solution Data Governance & Security
Industry Manufacturing
Region North America
Technology Microsoft Azure
Context
In the manufacturing industry, data fragmentation, duplicate records, and poor governance often lead to inefficiencies, increased costs, and compliance risks. A leading manufacturing firm faced similar challenges, struggling with unreliable product and customer data, redundant attributes, and security vulnerabilities that hindered marketing effectiveness and operational efficiency. We partnered with the company to implement a robust Master Data Management (MDM) framework, consolidating data sources, eliminating redundancies, and enhancing governance. This transformation led to significant cost savings, improved customer profiling, strengthened data security, and streamlined operations, enabling more accurate decision-making and long-term business growth.
Problem statement

The client’s marketing and campaign effectiveness were hindered by inefficient data workflows and unreliable product and customer data. Several data-related issues disrupted operations, such as: 

  • High volume of duplicate and orphan records, inflating the total record count and increasing licensing costs. 
  • Confidentiality issues with equipment maintenance data and Personally Identifiable Information (PII), creating compliance and security risks. 
  • Redundant and unutilized data attributes from upstream systems, leading to inefficiencies in data usage and integration.

Impact

  • Cost Reduction: Eliminating orphan records reduced licensing costs by ~50% and lowered downstream storage by 20%.
  • Improved Data Trust: Enhanced product and customer profiling by treating duplication and validating data, leading to greater operational accuracy and higher ROI.
  • Enhanced Governance: Confidentiality of sensitive manufacturing data was ensured, bridging compliance gaps, and establishing secure data practices.
  • Operational Efficiency: The removal of redundant attributes and optimized integration streamlined workflows and improved system performance, aiding in better asset and lifecycle management.

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