Databricks implementation partner in the Benelux

Within Digital Power, we wanted to give Finance and Business Support more ownership of management dashboards and give Sales faster, independent access to relevant insights. With a simpler data model and Databricks Genie, users can now ask questions about data in natural language and immediately ask follow-up questions. Finance and Business Support can also make dashboard changes themselves, reducing the amount of time technical specialists spend on recurring questions and changes.

In September 2023, Transavia asked us to evaluate their Customer Data Platform (CDP): did it still align with their marketing objectives, and was it future-proof considering the stricter regulations around third-party cookies?

Many organisations face the same challenge. Someone has a question about revenue, customer behaviour or operational performance. The data exists, but finding the answer takes time. A dashboard needs to be opened, filters have to be configured correctly, or a Data Analyst needs to perform an additional analysis.

Heerema Marine Contractors operates the world’s largest crane vessels, equipped with many sensors that together generate millions of measurements every day. This sensor data is critical for safer operations, lower emissions, better engineering and well-founded investment decisions.

It is a pattern that repeats itself with regularity: an organisation reports a data breach, customer records end up exposed, and the discussion that follows quickly turns to firewalls, outdated software and malicious attackers.

Exa is an AI company that develops a search engine and API that enable AI systems to intelligently search and analyse the internet. Their technology is used across domains such as finance, coding agents, news, recruitment and consulting, where large volumes of online data are quickly retrieved, structured and summarised for specific use cases.

Transavia operates in a highly competitive travel market where customers expect personalised and consistent communication across every touchpoint. Whether on the website, in the app or via email, each interaction needs to reflect customer behaviour and preferences.

Whether you work for a major fashion brand, supermarket, or in the travel industry, leveraging your customer data to personalise customer experiences is crucial to your success. But it's not easy to achieve. Like most B2C companies, airlines are swimming in customer data from dozens of different places, struggling with data quality, privacy compliance, and real-time personalisation.

After we built a data warehouse for Meerlanden, their data scientist began working with the data. We proposed setting up a Machine Learning Operations (MLOps) framework together, allowing them to integrate their models directly into the existing environment. This enabled them to make predictions that improved the efficiency of Meerlanden’s services.

The Kadaster manages complex (geo)data, including all real estate in the Netherlands. All data is stored and processed using an on-premise data warehouse in Postgres. They rely on an IT partner for maintaining this warehouse. The Kadaster aims to save costs and work more efficiently by migrating to a Databricks environment. They asked us to assist in implementing this data lakehouse in the Microsoft Azure Cloud.