Master Data Management in the Age of Autonomous Commerce

How enterprises use imperfect data to enable autonomy at scale

Download Breaking Free from Manual Processes

Download Breaking Free from Manual Processes

Why This Whitepaper Matters for Modern B2B Enterprises

1

Enable autonomy without waiting for perfect master data

2

Prioritize data improvements with the highest execution impact

3

Use execution insight to guide incremental data uplift

4

Increase autonomy levels while reducing governance friction

5

Improve cross team engagement in master data ownership

6

Connect data improvements directly to measurable business ROI

Voice of The Customers

We would have loved to introduce Autonomous Commerce earlier, but there wasn't a solution out there. It's very important in our business that we get back to the customers as quickly as possible.

Paul Thompson

Chief Executive Officer, Aerospheres

The customers… they try to manage their supply chains. Speed is becoming so much more important.

Fredrik Sölscher

EVP IT & Digitalization, Nefab Group

Fredrik Sölscher

From a leadership perspective, we are also on a journey. We are increasing our own literacy in terms of autonomous processing, AI and so forth.

Mikkel Diness Vindeløv

Vice President, Hempel

Mikkel Diness Vindeløv

We couldn't really see that we could scale. There is definitely a direct correlation between customer satisfaction and revenue. We know that by fact.

Anders Pettersson Liechti

CIO, Nilfisk

Anders Pettersson Liechti

AI is really in the future. We can respond to our customers faster, so it's a business critical solution.

Carlos García

Head of Digital Business, Danfoss

Chosen by the Ones Who Win

Don’t take our word for it

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Chosen by the Ones Who Win

Don’t take our word for it

Request Use Case