Qlik > Case Studies > Travis Perkins Improves On-Time Delivery with Google BigQuery and Qlik Connector

Travis Perkins Improves On-Time Delivery with Google BigQuery and Qlik Connector

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Customer Company Size
Large Corporate
Region
  • Europe
Country
  • United Kingdom
Product
  • Google BigQuery
  • Qlik connector
Tech Stack
  • Data Repository
  • Data Analysis
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Customer Satisfaction
Technology Category
  • Analytics & Modeling - Data-as-a-Service
Applicable Industries
  • Construction & Infrastructure
  • Retail
Applicable Functions
  • Logistics & Transportation
  • Sales & Marketing
Use Cases
  • Supply Chain Visibility
  • Inventory Management
Services
  • Data Science Services
About The Customer
Travis Perkins is a leading British builders’ merchant and home improvement retailer. The company is based in Northampton and operates a network of 1,900 outlets across the U.K. and Ireland. With a workforce of more than 27,000 employees, Travis Perkins is a major player in the construction and home improvement industry. The company offers a wide range of products and services to its customers, including building materials, home improvement products, and related services. Despite its size and reach, the company was struggling with data management issues that were impacting its operational efficiency.
The Challenge
Travis Perkins, a British builders’ merchant and home improvement retailer, was facing a significant challenge due to the presence of many data silos within its operations. These data silos made it difficult for the company to quickly access a single truth, leading to inefficiencies and potential inaccuracies in decision-making. The company needed a solution that would allow both internal users and external suppliers to have fast access to the same information, thereby improving operational efficiency and accuracy.
The Solution
To address the challenge of data silos, Travis Perkins implemented a single Google BigQuery™ repository and the Qlik connector. This solution provided a unified platform for data storage and analysis, enabling both internal users and external suppliers to quickly access the same information. The Google BigQuery™ repository served as a centralized data storage solution, eliminating the need for multiple data silos. The Qlik connector, on the other hand, facilitated fast and efficient data analysis, allowing users to gain insights from the data stored in the repository. This solution was implemented across the company, providing a unified and efficient approach to data management.
Operational Impact
  • The implementation of the Google BigQuery™ repository and the Qlik connector has resulted in several operational benefits for Travis Perkins. Firstly, the solution has enabled suppliers to only access and analyze data relevant to them, thereby improving data security and relevance. Secondly, the company has been able to gain deeper insights into its operations, leading to improvements in on-time delivery. Thirdly, the company is now able to track and optimize staffing, leading to improved workforce efficiency. Lastly, the business can now track and target pricing and customer rebates, leading to improved financial performance.

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