DC Ops Analytics

The DC Ops data product enhances warehouse operations by offering real-time, secure and consolidated data access via Azure and Fabric. With Power BI integration, it supports analytics, reporting and user empowerment through self-service tools. The solution improves visibility, efficiency and decision-making while reducing costs and enabling agile warehouse planning.

Problem

Statement

The DC Ops (Warehouse Operations) data product is designed to provide stakeholders with seamless access to warehouse operations data for reporting and analytics. The goal is to deliver actionable insights that support informed decision-making and drive operational efficiency.

Key Objectives
  • Create a unified data product that consolidates, cleans and structures warehouse data from diverse sources within Azure and Fabric environments.
  • Develop intuitive and role-based interfaces to facilitate easy access and visualization of warehouse data across departments.
  • Ensure data security and compliance through the implementation of robust confidentiality, integrity and regulatory measures.
  • Enable advanced analytics, ad-hoc queries and reporting using Power BI to identify trends, detect anomalies and uncover opportunities for process improvements.
  • Provide comprehensive user training and support to maximize the effective use of the data product for operational and strategic benefits.

Solution

Proposed

  • Launched DC Ops Excellence dashboards using a newly developed aggregated data source in Azure.
  • Built an enterprise-level warehouse observations solution within the Teammate Relations application.
  • Continued enhancements to the visual design of the DC Ops Excellence dashboards to improve analytics and reporting clarity.
  • Integrated inventory data from multiple sources into the Fabric environment to support broader business use.
  • Developed reporting and visualization for forklift and loading standards.
  • Created right-sizing reports to support agile daily warehouse planning.

Business

Values

01

Increased transparency and insights into warehouse operations.

02

Improved efficiency in operations and inventory management.

03

Accelerated decision-making through real-time data access.

04

Reduced operational costs and waste through process optimization.

05

Empowered users with self-service analytics to support independent analysis and reporting.