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Data Automation

Stop manually tinkering with data. Automate your data warehouse and always have up-to-date, reliable information at your fingertips, ready for immediate use in your BI.

What Is Data Automation?

Data automation means you no longer have to process data manually. Data from various source systems is automatically replicated, cleaned, and modeled in a central data layer. This not only speeds up the construction of your data warehouse but also makes it more reliable and consistent.

The result? Reports that are always up to date, dashboards you can trust, and a BI environment that effortlessly scales with your organization. We also call this data warehouse automation: the smart automation of tasks that would otherwise require a lot of time, money, and manual work.

Why Data Automation Makes a Difference

With Data Automation, your BI environment is up and running faster, and you can effortlessly consolidate data from various systems. All logic and definitions are centralized in one place, making management easier and eliminating errors. ETL processes run automatically, without expensive tools or licenses, and are powered entirely by reliable Microsoft technology. This gives you up-to-date, near real-time information while keeping infrastructure costs low.

How It Works

How Does Data Automation Work?

Data Automation takes the heavy and repetitive tasks involved in data processing off your hands. Whereas you used to have to build and maintain complex processes manually, this is now largely automated. The result: fewer errors, faster turnaround times, and a data warehouse that’s always up to date.

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Gathering

All data from your various systems—from ERP to CRM and Excel—is automatically retrieved and replicated. Manual exports and standalone scripts are a thing of the past, ensuring you always have a complete and up-to-date overview. Because the integration runs continuously, you no longer have to wait for reports that lag behind current events.

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Modeling

After data collection, your data layer is automatically built and maintained. All logic and definitions are centralized in one place, ensuring that everyone in the organization works with the same version of the data. This makes your BI environment more consistent, easier to navigate, and much simpler to manage. What’s more, you can add new data sources much faster without having to rebuild your entire model.

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Make available

The data is prepared for use in dashboards and analyses, fully tailored to your BI tool. Thanks to customizable synchronization, you’ll have access to the most up-to-date information in near real time. This allows you to respond more quickly to changes and makes data-driven decision-making an integral part of your daily routine.

Cloud vs. On-Premises

Cloud or on-premises: you choose the environment

Data Automation works wherever you need it. Whether you opt for the flexibility of the cloud or maintain maximum control with an on-premises environment, you’ll benefit from the same reliability and power in both cases.

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Flexible in the cloud

With Microsoft Azure, your data warehouse grows along with your organization. You can connect new data sources faster, scale effortlessly, and benefit from automatic updates and built-in security. Perfect for companies that want to move forward and view their BI environment as a driver of innovation and growth.

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Full control with on-premises

Are you dealing with strict regulations, data sovereignty, or specific compliance requirements? If so, an on-premises environment offers the assurance of complete control. You manage where your data is stored and who has access to it, while still enjoying all the benefits of data automation.

Benefits

Take Advantage of Data Automation

Data Automation simplifies data management and helps you gain control of your information more quickly. The result: more time for insights, less time spent on maintenance.

Faster insights, lower costs
Repetitive tasks are eliminated, and reports are available more quickly. You reduce development and licensing costs and focus on what really matters: deriving value from data.
With near real-time synchronization, you always work with reliable data. Your BI environment scales flexibly along with your organization and its goals.
All logic and definitions are centralized in one place. This makes your BI environment more consistent, easier to navigate, and much easier to maintain.
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Alistar
Alistar

With Microsoft Power BI, we have a solid foundation for a data-driven future.

Floris Alders
CFO Elho

Elho is working toward a green, data-driven future with Microsoft Power BI

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Ready to speed up your data processes?

With Data Automation, you can make your BI environment faster, more reliable, and ready for the future. Discover how this can work in your organization and take the first step today.

Sander Honig

Commercial Manager, Data & BI – Netherlands

Timo van Lokven

Data & BI Account Manager – Belgium

Frequently Asked Questions

What Is Data Automation?

Data automation is the process by which data is automatically collected, processed, and prepared for reporting and analysis. It automates repetitive steps such as Extract, Transform, Load (ETL) and ensures that data from various sources—such as ERP, CRM, and financial systems—is consolidated into a single, reliable environment. This eliminates the need for manual scripts and complex data flows.

The result is a data warehouse that is available more quickly, less prone to errors, and easily scalable. Furthermore, thanks to customizable synchronization, information can even be updated in near real time. This ensures you always have the most up-to-date and consistent figures, ready to inform your decisions.

Data from various systems is automatically collected, modeled, and prepared in your data warehouse. As a result, reports are more consistent and available in near real time, without the need for manual scripts or maintenance.

Yes. Data Automation runs both in Microsoft Azure—for maximum flexibility and scalability—and on-premises for organizations that require full control and compliance.

A classic example is Extract, Transform, and Load (ETL). In this process, data is automatically retrieved from various source systems (excerpt), converted into a consistent and usable structure (transform), and then loaded into a central environment such as a data warehouse (load). This creates a single, reliable source on which reports and analyses can be based, without the need for manual work or separate connections.

Yes. Organizations that lose a lot of time on manual data management or struggle to produce reliable reports quickly stand to benefit the most from Data Automation. Whether you work in finance, operations, sales, or a regulated industry, up-to-date and consistent data makes every organization stronger.