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

Edit This Case Study Record

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

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

Qlik

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	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.

Impact #1

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.

Download PDF Version

Overview

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

Operational Impact