Data platform

Do you want to get started with data-driven working To transform your business? Innovate with AI? Visualize data to continuously improve? Getting started with self-service BI?

 

Whatever your question: you have a modern data platform. This data platform acts as the foundation for all aspects of your data strategy.

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Future-oriented

There is no "one size fits all" data platform. The best choice for your organization is a platform that answers your questions and is ready for the future. Valid designs, builds and, ideally, manages a data platform based on your needs. We do this using standard components from the Microsoft Azure world. This way you are not tied to customization or legacy. 

Bronze, silver or gold?

Together with you, we will go for gold anyway. Do we adopt the 'Medallion architecture' for this? Should your data platform be built based on a data warehouse? Do we choose Microsoft Fabric, Databricks, or something else for this? We answer these, and more, questions together. 

One smart and secure whole

What data sources, applications, devices, batch or streaming data do you want to connect to your data platform? To achieve a modern data platform, these sources must be connected in a unified way. We bring your data to life. Your data platform is built modularly and remains extremely flexible and scalable. Naturally, we take security and privacy 'by design' into account. Mitigating risks is our top priority. 

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Ready for (advanced) analytics

A modern data platform should take into account various end users and applications. Most organizations have enough with self-service Business Intelligence. With the advent of new AI capabilities, some want to get started with self-service analytics and other data science solutions. We like to challenge you: besides your current needs, what requirements will your data platform have to meet in the future? 

Tight governance

A data platform is more than a technological issue. You rightly expect a partner like Valid to handle the entire lifecycle of your company data, from application landscape to making data accessible to end users. Based on clear agreements about who does what, we jointly determine which improvements need to be implemented in the following areas: data governance, master data and data quality management as well as the degree of integration and presentation of the data in the data platform.  

A modern data platform means continuous improvement

A data platform is not a one-time exercise. We are therefore happy to take responsibility for the management and continuous improvement of your data platform. Our managed services practice guarantees quality and continuous improvement. We do everything possible to relieve your organization and enable it to focus on value creation. 

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