Construction materials supplier Travis Perkins Group is using the DataFlux data quality platform to de-duplicate its product database.
The product data optimisation project aims to improve the quality of product descriptions Travis Perkins receives from more than 1,200 suppliers.
Sean Sinclair, group head of data development at Travis Perkins Group, said, "We recognise that this project is a leap forward for our industry. By improving the value and accuracy of our product data, we will enhance the effectiveness of the 200 million-plus product searches we conduct each year. The business case was built on efficiency improvements and the value of reducing the time it takes for customers to place an order with us. Working with so many suppliers and serving customers across multiple channels adds complexity, but we are confident the DataFlux platform is the right solution for the job."
In the past, product descriptions arrived from suppliers in varying formats, using a wide range of abbreviations and categorisations, which led to duplications if not detected and corrected. Travis Perkins will use DataFlux dfPower Studio technology to standardise product descriptions across the enterprise to improve the in-store, call centre and online product search processes.
The project involves exploring and analysing the company's existing product data set, standardising the results, then creating a road map to improve data quality. In addition to improving the customer experience, Travis Perkins hopes the project will improve operational efficiency by enhancing the look-up process within the product identification and search process. Travis Perkins expects that data quality automation will significantly reduce the amount of time taken to manually fix errors throughout its store network.