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Data Integration Tool – Application Areas and Use Cases

Data is, as we all know, the foundation for successful marketing. But the more complex the technological infrastructure becomes, the more difficult it is to use the same up-to-date data basis everywhere. Data integration tools provide the solution.

  • Dieser Artikel wurde am 20. March 2026 aktualisiert.
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ata, data, data. They are everywhere—and sometimes nowhere. Big Data, clouds, various touchpoints with customers, and numerous other factors ensure that the volume of data becomes significantly larger and more confusing. Really confusing. Because we not only store data in different formats, but also in separate locations and systems. Why data integration is important for businesses and how a data integration tool works, you’ll find out in this article.

Data Integration Tool

Cool Tool: What is a Data Integration Tool?

In data integration, data from different sources is combined and standardized. Data integration tools automate and simplify this process. The tools collect and cleanse data from various sources and then make it available in a standardized format for analysis and reporting.

Why is data integration so important?

For many companies, implementing a data integration tool is a major relief, but it also requires time and financial resources. Therefore, it only makes sense that decision-makers ask themselves: Why is data integration so important in the first place?

Matchilla - Matching-Plattform und Marktplatz Harmonization and standardization of data in different formats

Matchilla - Matching-Plattform und Marktplatz More efficient and more accurate data processing processes

Matchilla - Matching-Plattform und Marktplatz Simplification of complex data processing

Matchilla - Matching-Plattform und Marktplatz Less effort thanks to automated data integration

Matchilla - Matching-Plattform und Marktplatz Ensuring data quality and compliance

Matchilla - Matching-Plattform und Marktplatz Consolidation of data from different systems

Even if your company only has data from your CRM system, sales, and customer success management, this data can be consolidated while complying with all qualitative and legal requirements. A prime example of a use case is the sustainability sector. Cleanly aggregating all relevant data in ESG software and the subsequent structured export into reporting currently poses major challenges for many mid-sized companies. The result: a clean, clear, and consistent database.

What are important features of a data integration tool?

Manual data integration is not only time-consuming, but also confusing and therefore prone to errors. In contrast, data integration can be implemented relatively easily with tools. Important software features include:

Matchilla - Matching-Plattform und Marktplatz Extract
The tools collect data from all necessary sources (such as analytics tools and other MarTech software).

Matchilla - Matching-Plattform und Marktplatz Transform
The collected data is given a uniform format.

Matchilla - Matching-Plattform und Marktplatz Load
The standardized data is transferred to a database.

Matchilla - Matching-Plattform und Marktplatz Clean
To ensure quality, the data is checked and cleaned.

Matchilla - Matching-Plattform und Marktplatz Manage
The data integration tool manages all data flows so that the data is complete and available in a timely manner.

Matchilla - Matching-Plattform und Marktplatz Connect
The tool enables interfaces to different data sources and data targets (web services, file systems, databases, etc.). 

By the way: Since the first three functions in particular are typical of data integration tools, you can also find them under the name ETL tools (Extract, Transform, Load).

So you can benefit from these functions, you should pay attention to the following when choosing a tool:

Matchilla - Data Tools Number of connectors
The more pre-built connection options are available, the better.

Matchilla - Matching-Plattform und Marktplatz Open source
Especially if you don’t want to be tied to a single vendor, an open-source tool makes sense and often offers more flexibility.

Matchilla - Matching-Plattform und Marktplatz Ease of use
A graphical, clearly structured user interface helps you learn to use the tool quickly and thoroughly.

Matchilla - Matching-Plattform und Marktplatz Cloud compatibility
The data integration tool should work in a single-cloud environment as well as in multi-cloud and hybrid-cloud setups.

Matchilla - Matching-Plattform und Marktplatz Costs
Some data integration tools include a limited number of connectors or require a paid upgrade for larger data volumes . When choosing a tool, you should therefore pay attention to a transparent pricing model.

What data integration tools are available?

Before you choose the right data integration tool, we’d like to introduce you to the different types:

Matchilla - Matching-Plattform und Marktplatz On-premise tools
As the name suggests, these tools are ideal for local data (on-premise = on site). The tools can be installed in a private cloud or a local network and enable loading from various sources with native connectors. 

Matchilla - Matching-Plattform und Marktplatz Cloud-based tools
With a cloud-based data integration tool, companies don’t need to rely on their own servers. This also eliminates factors such as maintenance and updates, as providers take care of these. As long as a stable internet connection is available, you can access the data warehouse from anywhere. 

Matchilla - Matching-Plattform und Marktplatz Open-source tools
If you want to avoid high costs, an open-source tool is a good choice. At the same time, this type of data integration tool enables full control over your own data, more flexibility, and transparency. 

Matchilla - Matching-Plattform und Marktplatz Proprietary tools
This type of data integration tools is the counterpart to open-source tools. They are often tailored to specific areas of application and are protected by copyright.

Both open-source and proprietary models can be used by companies as an on-site tool as well as a cloud version. Of course, compatibility and areas of use depend on the provider.

Everything Everywhere All at Once: Data Integration Tool

Whether marketing, IT, or sales: data integration is an important topic for many teams—but let’s be honest: a tedious one. Above all, working without a data integration tool is nerve-racking. At the latest when it comes to digital transformation, companies are well advised to bring in a data integration tool. Anyone who wants to find the right tool should be clear about which data and applications are to be integrated with it. Only then can companies ensure that all stakeholders have access to the relevant data whenever and wherever they want.

How to quickly find the right data integration tool

Are you looking for a data integration tool that fits your company’s challenges perfectly? As you can tell from this content, we at Matchilla deal intensively with the topic of data tools and regularly screen the provider market for our matchings on the platform.

That means for you: You only need to invest a few minutes and you will receive three data integration tools presented to you as suggestions – selected precisely according to your individual needs. How does it work? With Matchilla’s matching process. Register now for our platform, start a new match request for data integration tools, and match conveniently with the right providers instead of searching for them in a time-consuming and tedious way. Let’s match!

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Data Expert

Till Zier is CPO at Matchilla and, as a MarTech expert, reports in the MatchZINE on news and trends in marketing, automation, analytics and data.

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