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Data Integration

Data integration is the process of combining data from various sources into a consistent and accessible format.

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The aim of data integration is to break down data silos and provide a comprehensive overview of all relevant information.

Data integration technologies and processes

Extract, transform, load (ETL): Extracts data from various sources, transforms them into a uniform format and loads them into a target system.
Data warehousing: Saves data from various sources In a central Data warehouse, which is optimized for analysis and reporting.
Data Lakes: Store all data in its raw form in a central Data Lake, the one for big data-analyses and Machine learning can be used.
Master Data Management (MDM): Unifies and manages master data to ensure that it is consistent and up to date.

Feel free to let us as part of Data architecture or first during a Data Audit Talk to us about this.

Benefits of data integration

Improved decision making: By combining data from various sources companies can get a more comprehensive picture of their business processes and thus make more informed decisions.
Increased efficiency: Through the Integrate data redundant data inputs and processes can be avoided, which leads to an increase in efficiency.
Improved collaboration: By providing unified access to data, employees from different departments can work better together.
Increased customer satisfaction: By integrating customer data from various sources companies can gain a better understanding of their customers and thus improve customer satisfaction.

Data integration challenges

Data quality: Data quality must be guaranteed before data from various sources can be integrated.
Complexity: The integration of data from various sources can be a complex and time-consuming process.
Costs: Implementing and maintaining a data integration solution can be expensive.

More information about our services related to Data architecture , Data Audit , Reporting & BI, Data Organization and Machine learning.

Note: This glossary was created and maintained with the support of AI technologies such as Gemini and ChatGPT.

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ETL, ELT, data lakes, and so many options...

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MediaPrint reinvents itself in terms of data technology

The publisher wanted a clear structure and the development of a data culture.

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Data Architecture

The right tools in the right place. Update the existing infrastructure or renew most of it.

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Data Audit

Get an overview of your company's status with regard to data

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Reporting & Business Intelligence

Not just beautiful dashboards, but information at a glance.

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