How does DaltixMatching actually work?
There are three ways Daltix helps you match comparable products. This video takes you through the easy steps!
Menu
There are three ways Daltix helps you match comparable products. This video takes you through the easy steps!
To make smart decisions, retailers need high-quality and reliable retail data. Those who have access to price, product and promotion data on a daily basis have a clear advantage. Daltix and Smartspotter are partnering and can now deliver both of their data expertise of high-quality data to Germany.
As Daltix expands into Europe, it renews its focus on developing a unique product with its customers at the centre. This change has brought a new CEO to Daltix.
As part of a recent analysis, the assortments – a total of more than 216,000 products – of eleven different retailers, such as REWE, dm and Picnic were compared across Germany and the proportion of organic products in relation to the total assortment was determined. Read more about the results in this press release.
If your data provider doesn’t give you a clear outline of how they test their own data for quality, you should get suspicious. In order to deliver data you can trust, we’ve developed the Daltix Data Quality Indicators. Read about what our DQIs are and why it’s good for your data here!
Choose up to 5 brands, including private labels, at up to 5 retailers and access price or promotion data in grocery retail within 24hrs. We’ll custom-build the intelligence for you.
In just seconds, get a report focused on the Belgian market that outlines the promotion evolution since January though November 2022 compared to last year. The report includes data analysis on promotion aggressiveness, intensity and more.
As we are expanding across Europe, here is a downloadable matrix on what data and features Daltix offers as well as what countries we collect in and for what retailers.
In the third edition of our data architecture, we discuss how we use technologies to standardise data and reshape the dataset that underlies the products we offer our customers.
In this blog post we’ll zoom in on the different parts in our data architecture giving more details around how everything’s set up, and why. We’ll discuss what happens to the data when it first arrives in our data lake: the raw and extracted layers.