Unifying data
across 6 countries
with Eddytor.
75.000 products. Different names, IDs, and hierarchies. How do you gain the right insights? You create and clean the master data.
Orkla's obstacles
75,000 products. No single source of truth.
Some products are the same. Most are not. Sometimes the exact same products are unrecognizable. How can Orkla ever gain insights when things are this messy?
The answer is editing and cleaning the master data. And maintaining it in the future. Right in the data platform itself. No tool makes it easier to improve and maintain data quality than Eddytor.
How do you run the numbers and make business decisions when you don't know what's true? The data has to reflect reality before anything else holds up. To make data true, you have to fix it where it lives. By the people who know it best.
How Eddytor helped
Cleaning master data, where it lives.
Eddytor lets Orkla edit directly in their single source of truth. The master data that lives in their data lake. Analysts in each market work on names, IDs, and hierarchies. The rules are set centrally. Eddytor enforces them on every save. Every change is logged.
Master data editing made easy
How Eddytor is used at Orkla:
One place. Many editors.
An error used to take multiple layers of communication to fix. By then, the insight was gone. Now analysts in every market work directly on the tables in Eddytor, lifting data quality right in the source, together.
Spot a gap. Fill it in.
The same product, named differently in two markets. An analyst aligns them. The fix lives in the master data from that moment.
See the pattern. Set the constraints.
A pattern shows up: a sub-group of products having wrong or missing IDs. An analyst sets a constraint: the table won't accept a wrong ID input. Eddytor handles every gap in that pattern from then on.
AI suggests. Analyst confirms.
A product missing its sub-category. The pattern is too inconsistent for a rule. AI reads what's already there and suggests a fit. The analyst confirms. The fix lives in the master data.
“We had master data drifting across six markets. Eddytor gave us a tool to align data where it already lives. Analysts in every market lift data quality together, and cross-market reporting is consistent and ready to share with the rest of the organisation.”
Claes Nielsen, Head of Net Revenue Management & Analytics at Orkla Group
Built by the same team.
Eddytor is built by Backstage. They also built Orkla's Databricks platform: the bigger project Eddytor is part of. This video, from Backstage, tells the full story.
Want help implementing Eddytor?
Backstage is the company behind Eddytor and knows it inside out. With years of implementing master data and data infrastructure for European enterprises, Backstage is here to help.