Ahold Delhaize USA

Customer Master Data Management

Challenges:
The organization faced significant challenges in achieving stable and reliable Customer Master Data. A lack of platform stability, CI/CD optimization, monitoring tools, and automation led to unstable APIs, performance issues, and higher operational costs. Fragmented best practices, limited documentation, and technical debt further complicated maintenance and scalability.

Approach:
We implemented a strategy focused on platform stabilization, automation, and optimization. Design flaws were addressed, documentation improved, and technical debt resolved through refactoring. Automation in testing, deployment, and monitoring enhanced efficiency and reliability.

Results:
System stability and API reliability significantly improved, with minimal downtime and enhanced performance. Automation streamlined processes, reduced errors, and lowered costs. Standardized processes and proactive alerts improved service quality and customer satisfaction. Reliable customer data is now accessible across the entire organization.

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Challenge

  • Lack of Customer Data: Reliable Customer Master Data was missing.
  • Platform Complexity: Stabilization, CI/CD processes, and monitoring tools were necessary.
  • API Instability: Scalability and reliability were under pressure.
  • Inconsistency: Variations in standards increased complexity.
  • Limited Documentation: Maintenance and knowledge sharing were hindered.
  • Performance Issues: Lower efficiency due to unoptimized code.
  • Technical Debt: Barriers to scalability and growth.
  • Manual Processes: Errors and costs due to a lack of automation.

Approach

  • Holistic Approach: Focused on stabilization, optimization, and monitoring.
  • Gap Analysis: Identified and resolved key bottlenecks.
  • Standardization: Uniform application of best practices.
  • Documentation: Improved for easier maintenance.
  • Optimization: Enhanced code and queries; resolved technical debt.
  • Automation: Automated testing, deployment, and monitoring.

Results

  • Reliable Customer Data: Accessible across the entire organization.
  • Stable Systems: Reliable APIs with reduced downtime.
  • Faster Performance: Lower latency and improved customer satisfaction.
  • Consistency: Standardized processes with no technical debt.
  • Lower Costs: Increased efficiency through automation and error reduction.
  • Proactive Management: Quick issue resolution enabled by enhanced alerts.
  • Improved Service Quality: Seamless user experience with minimal downtime.

Team

SPECTR Integration:

  • Jiten Manghwani
  • Sneha Nautiyal
  • Rafi Mohamed
  • Diederik de Lange
  • Erwin van den Bunder

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