From slow data to real-time control

Scattered systems, long wait times, and a lack of clarity. AkzoNobel needed a platform that could handle scale and speed, and grow with their business. Together, we built a robust, real-time solution that works. And it’s catching on across the organization.

Solution

Enterprise Data Management

Client

AkzoNobel

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Our clients

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The situation

The situation

Scattered data, no control

AkzoNobel was dealing with massive volumes of unstructured data, spread across multiple systems, departments, and owners, from inventory numbers and pricing to media content. The scale was enormous: hundreds of millions of records. Over time, the company lost control over data quality and freshness. The existing platform took more than 36 hours to gather information. In other words, there was no guarantee that the data was up to date.

The challenge

The challenge

Slow, fragmented, and inconsistent

Our solution

Our solution

A modern, real-time data hub with phased migration

Deep domain analysis as a starting point

We began with an in-depth review of AkzoNobel’s systems and processes. That gave us the clarity to design a solution that fits the business and the future.

Built with modern technologies

We developed a brand-new backend based on Golang, ArangoDB, and RabbitMQ—the result: a high-performance, scalable platform designed to handle complex data environments.

Phased rollout, zero downtime

No big bang. The legacy system was gradually phased out without interrupting operations. Every step was rolled out in a controlled, measurable way.

Real-time data, instantly available

The new platform processes data as it arrives, providing users with real-time visibility—no more waiting days for updates. Decisions can now be made on the spot.

The results

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Real-time performance

No more waiting — data is instantly accessible.

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Reduced support load

Stable systems. Less noise. More clarity.

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Centralized data governance

A clear structure everyone can rely on.

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Smooth migration

A phased rollout without downtime.

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Adopted and future-proof

Actively used across the organization and ready to scale further.

Enterprise Data Managment Mobile
Enterprsise Data Management Jannemiek

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