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.
Want exclusive access to retail data? Make your request and and gain instant access to 50 products and their product information, price and promotion dashboards, graphs, our product matching tool and more!
In the final blog post of the data architecture series, we’ll take a look at how Daltix can provide everyone who requires their data access in a way that suits them. To answer that, we’ll examine our two data setups and explain our experiences and how they fit into our data architecture.
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.
