Bring your analytical capabilities to the next level with a data warehouse or -lake

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Improve your data quality and efficiency by integrating various types of data sources into a data warehouse. Let's build a high quality data platform and bring your analytical capabilities to the next level in the cloud.

Solve your challenges, build a data warehouse

  • Integrate all your data sources
  • Create an alternative to your underperforming SQL database
  • Migrate your data infrastructure to the cloud
  • Get an overview of what your data looks like
  • Improve the data quality
  • Increase your Analysts' efficiency
  • Trust your data
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Cases & context

kadaster header

Working more efficiently thanks to migration to Databricks

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.

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iphone with spotify music

Converting billions of streams into actionable insights with a new data & analytics platform

Merlin is the largest digital music licensing partner for independent labels, distributors, and other rightsholders. Merlin’s members represent 15% of the global recorded music market. The company has deals in place with Apple, Facebook, Spotify, YouTube, and 40 other innovative digital platforms around the world for its’ member’s recordings. The Merlin team tracks payments and usage reports from digital partners while ensuring that their members are paid and reported to accurately, efficiently, and consistently.

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valk exclusief

Setting up a future-proof data infrastructure

Valk Exclusief is a chain of 4-star+ hotels with 43 hotels in the Netherlands. The hotel chain wants to offer guests a personal experience, both in the hotel and online.

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woman shopping online

A standardised way of processing data using dbt

One of the largest online shops in the Netherlands wanted to develop a standardised way of data processing within one of its data teams. All data was stored in the scalable cloud data warehouse Google BigQuery. Large amounts of data were available within this platform regarding orders, products, marketing, returns, customer cases and partners.

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data platform

A scalable data platform in Azure

TM Forum, an alliance of over 850 global companies, engaged our company as a data partner to identify and solve data-related challenges.

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potatoes

Valuable insights from Microsoft Dynamics 365

Agrico is a cooperative of potato growers. They cultivate potatoes for various purposes such as consumption and planting future crops. These potatoes are exported worldwide through various subsidiaries. All logistical and operational data is stored in their ERP system, Microsoft Dynamics 365. Due to the complexity of this system with its many features, the data is not suitable for direct use in reporting. Agrico asked us to help make their ERP data understandable and develop clear reports.

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data mental healthcare

Central data storage with a new data infrastructure

Dedimo is a collaboration of five mental healthcare initiatives. In order to continuously enhance the quality of their care, they organize internal processes more efficiently. Therefore, they use perceptions from the data that is internally available. Previously, they acquired the data themselves from different source systems with ad hoc scripts. They requested our help to make this process more robust, efficient and to further professionalise it. They asked us to facilitate the central storage of their data, located in a cloud data warehouse. The goal was to set up the data infrastructure within this environment, since they were already used to working with Google Cloud Platform (GCP).

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billboards

A scalable machine-learning platform for predicting billboard impressions

The Neuron provides a programmatic bidding platform to plan, buy and manage digital Out-Of-Home ads in real-time. They asked us to predict the number of expected impressions for digital advertising on billboards in a scalable and efficient way.

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migration to the cloud

Migration to the cloud: How does this work in practice?

In the past, all data from companies was stored locally in an on-premise environment. More and more companies are migrating their data infrastructure to the cloud. Cloud computing utilises servers managed and maintained by cloud service providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform. In this article, you will read the answers to the questions you may have when considering a migration to the cloud.

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colleagues talking to each other

Bring structure to your data

There are many different forms of data storage. In practice, a (relational) database, a data warehouse, and a data lake are the most commonly used and often confused with each other. In this article, you will read about what they entail and how to use them.

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implementing a data platform

Implementing a data platform

Based on our know-how, the purpose of this blog is to transmit our knowledge and experience to the community by describing guidelines for implementing a data platform in an organisation. We understand that the specific needs of every organisation are different, that they will have an impact on the technologies used and that a single architecture satisfying all of them makes no sense. So, in this blog we will keep it as general as we can.

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Want to make a well-informed decision?

Dive into the answers to the most asked questions about data warehousing with Digital Power as your data partner.

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Let's discuss your data warehouse

Still have questions, or are you ready to discuss your challenges and needs? Joachim would be happy to discuss the opportunities of data warehousing with you.