Skip to main content

Data Intelligence Platform

A data warehouse brings data together for reporting and analysis. But organizations want to do more and more with their data, from AI and process automation to feeding applications and processing unstructured data. A Data Intelligence Platform lays a broader foundation for this and makes data usable for BI, AI, machine learning, applications and automation.

Colleague working at a desk with a monitor
Two colleagues talking at a meeting room table

Why a Data Intelligence Platform

A Data Intelligence Platform goes beyond storing data centrally and making it available for analysis. It forms one data foundation for BI, AI, machine learning, applications and process automation.

The platform processes both structured and unstructured data and also supports streaming data, for example from IoT devices and sensors. With AI, unstructured sources such as PDF documents can be automatically converted into usable datasets and checked for data quality.

Built-in data governance ensures that data can be used securely and responsibly. The result is a scalable foundation on which different teams and applications can work with the same reliable data.

Our approach

We help you choose the platform that fits your organization, whether that's Databricks, Microsoft Fabric, or Snowflake. Then we set up the rest of the foundation.

  • We advise on and choose the most suitable platform together with you, matched to your system landscape and your ambition.
  • We set up governance structures, so it's clear who may use and share which data.
  • We build reliable data pipelines that process structured and unstructured data and make it available for BI, AI, applications and automation.
  • We bring the foundation to life with dashboards, applications, AI solutions and agents that use your data directly.
  • We actively transfer knowledge through training and support, so your organization can continue independently.

What does a Data Intelligence Platform deliver?

Icon of a brain wired to a circuit, representing AI

One foundation for data and AI

Use the same reliable data for BI, AI, machine learning, applications and automation.

Solar panel and sun icon

Use every type of data

Process structured data as well as documents, text, sensor data and other unstructured sources.

Database icon

Data you can put to work

Use data not only for analysis, but also to drive applications, processes and AI solutions.

Sparkles icon

AI-ready

Build AI applications on a managed and scalable data foundation.

Secure & manageable

Keep control over data access, use and quality with built-in data governance.

Upward trending arrow icon

Scalable data foundation

One foundation on which data engineers, BI developers, data scientists and AI applications can keep building.

Ebook: From Data Platform to Data Value

In the ebook "From Data Platform to Data Value," we use E-mergo's 7-step model to show how you move from a technical foundation to actual value, based on research and practical experience at organizations including Hoek Group and ZorgSaam.

Ebook: From Data Platform to Data Value

Get started

Want to explore whether a Data Intelligence Platform could also be interesting for your organization? Request a no-obligation intake conversation.

FAQ

  • What is a Data Intelligence Platform?

    A Data Intelligence Platform brings data from all your source systems together in one central Data Lakehouse. From this foundation you build dashboards, reports, and AI applications, with built-in data governance.

  • What is the difference between a data lake and a data warehouse?

    A data lake stores raw, unstructured data, while a data warehouse contains structured, cleaned data. A Data Lakehouse combines both.

  • Which platform fits my organization?

    That depends on your existing system landscape, data volumes, and ambitions. We help you choose between platforms such as Databricks, Microsoft Fabric, and Snowflake.

  • Can the platform also process unstructured data?

    Yes. With AI you set up automated pipelines that convert unstructured data into structured datasets, including data quality checks.

  • Do you also help after implementation?

    Yes. We provide knowledge transfer, training, and support, so your organization can continue independently.