Case Study

Supply Chain KPI Dashboard for a Single View of Logistics Data

A multinational logistics company consolidates diverse data set sand enhances its supply chain KPI dashboard to revolutionize key decision-making processes.

Supply Chain KPI Dashboard for a Single View of Logistics Data

A global logistics leader enhances operational efficiency and decision-making effectiveness by consolidating data and leveraging a unified dashboard for comprehensive insights across various KPIs.

Industry: Logistics, Global

Technology Stack:

Data Integration: Azure Data Factory; Data Lake: Azure Data Lake; RDBMS: MS SQL Database; Data Visualization: Power BI

Client Overview

Our client is a leading multinational logistics company offering a comprehensive suite of services for both individuals and businesses. Their extensive portfolio encompasses residential and commercial relocation services, government logistical support, and specialized workplace solutions across various sectors.

Business Challenge

The logistics company aimed to enhance its operational efficiency and decision-making capabilities through improved data management. However, for this, they required critical insights into KPIs suchas On-time Pickup Percentage, On-time Delivery Percentage, Client Satisfaction Score, Claims Score, and Late Claim Payment Percentage.

The company’s existing logistics KPI dashboard demonstrated numerous limitations, and their data resided in disparate sources including MS SQL Database, SharePoint files, and a Data Lake. This restricted the much-needed holistic view of data and data-driven insights. While the company considered modernizing its existing dashboard, they were concerned about its compliance with the latest government regulations.

Solution Offered

To address these challenges, KANINI proposed a comprehensive data management solution:

  • A data transformation pipeline within the existing MS SQL Server environment was developed, leveraging stored procedures to handle data aggregations previously managed in Power BI.
  • Azure Data Factory (ADF) enabled the creation of a seamless pipeline that helped in storing the data in the client’s chosen analytics platform from the Data Lake. This integration ensured easy access to a broader range of data sets, fostering a comprehensive analytics environment.
  • The existing dashboard was reimagined as a Power BI KPI Dashboard, offering deeper insights into all five critical KPIs and empowering stakeholders with a more comprehensive understanding of performance trends. Features like interactive visualizations and drill-down menus facilitated deeper analysis.
Value Delivered
  • Seamless Data Integration: Easy data access and comprehensive data analysis through a unified supply chain KPI dashboard.
  • Streamlined Data Processing: Minimized manual effort, improved operational efficiency, and accelerated generation of valuable insights.
  • Enhanced Analytical Capabilities: A deeper understanding of performance trends against predefined targets, and areas of improvement, powered by a modern Power BIKPI dashboard.

Unlock smart insights from your data with KANINI’s data solutions.

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