Dominik Kukielak

Data Fabric: Redefining Data Integration

Increase the value of your data and automate your business processes with Data Fabric

Data Fabric with Arvato Systems: Your Data in the Best Hands

Data Fabric is the answer to the challenges of a complex data world. The modern data integration architecture enables a seamless, flexible and consistent connection between different data sources and systems. Data Fabric also supports additional elements such as data governance to ensure data quality, data protection and compliance. For your company, this means that data can be efficiently integrated, managed and used regardless of where it is stored. Our goal is to increase the value of your data and automate work processes in order to realize future-proof business models. Find out more about our Data Fabric offering.


We are experts in consulting and developing modern enterprise cloud data architectures. Our data fabric and data management solutions help companies to use data more effectively and increase the value of data. We offer customized solutions to strengthen and protect your data fabric.

Our Data Fabric Services at a Glance

Strategic consulting: Development of data strategies and data governance concepts based on use cases
Business intelligence consulting: Design and development of (self-service) BI solutions, dashboards and reports - with Power BI
Cloud transformation: automation and modernization of existing data platforms and migration to the cloud
Holistic data architecture: Design and implementation of central data warehouses to create new holistic data warehouse and data lake solutions
Data integration: Establishment of ETL data paths to process, consolidate and merge data from different sources
Infrastructure strategy: Customized solutions for cloud, on-premises and hybrid environments

Data Fabric with Arvato Systems: Data Quality across the Entire System Landscape

Our offering includes consulting, development, transformation, implementation, migration and integration of data platforms and BI solutions in Microsoft system environments - whether on-premises or at a cloud hyperscaler, such as Microsoft, Google, or AWS. We also develop modern enterprise cloud data architectures for processing large volumes of data from different sources. We create data quality at the highest level and train your employees in the responsible handling of data and tools. Our Data Fabric offering includes these services in detail:

  • Part of our offering is the implementation of central data platforms using native cloud services. These platforms guarantee scalability, cost transparency and future-proofing. By using these modern cloud technologies, you can accelerate your digital transformation and significantly reduce time-to-value.

  • IoT data platforms enable IoT data to be merged with relevant master and transaction data from your existing infrastructure. This enables real-time data analysis for M2M/IoT business purposes to generate measurable added value. This maximizes the potential of your IoT investments and sustainably improves your business processes.

  • Data catalogs play a crucial role in managing the increasing number of different data sources and types. We carefully organize and catalog this data, making it much easier to find specific information. This enables you to find data quickly and use it efficiently for business intelligence analysis. With data catalogs, we create transparent and effective data management that forms the basis for well-founded decisions and valuable insights in your company.

  • Our approach to data governance involves a holistic consulting approach that looks at your entire organization. Our aim is to prepare you to establish data governance independently or to implement it with technical support. We help you to create clear structures and processes to manage and use data effectively. We focus on preparing your organization for a data-driven culture to ensure the quality, security and compliance of your data and to extract the maximum value from your data.

  • Our expertise lies in consulting, designing and implementing a data mesh architecture for your company. We are at your side to identify possible data domains and suitable technologies. A data mesh architecture makes it possible to efficiently organize and manage data in your company by dividing it into domains that are managed by distributed teams. This approach promotes better scalability and flexibility in data processing and analysis.

  • The latest generation of BI and reporting tools are as user-friendly as Excel, but with advanced features. These tools allow you to build a data-driven culture by offering more freedom and autonomy in data processing. With self-service BI tools, employees can independently access data, create reports and perform analyses without having to rely on the IT department. This not only promotes efficiency, but also innovation in your company.

  • Data and AI projects cover a wide range of business requirements, depending on specific challenges and goals. They improve data analysis and processing, automate processes, enable predictions and modelling, personalize offers, support fraud detection and security, promote innovation management and thus contribute to increasing the efficiency, agility and competitiveness of companies to ensure long-term success.

  • Successful data migration requires careful preparation and implementation. It is important to develop a solid data migration strategy in the interests of the company to ensure that the migration runs smoothly and that the data is transferred securely to the planned target environment. Our approach encompasses all phases of data migration and covers different data migration scenarios. Our framework provides support during the preparation and implementation of complex data migration projects.

Arvato Systems: Your Partner on the Path to a Data-Driven Future

Why Arvato Systems?

Our expertise ranges from DWH development to artificial intelligence and hyperautomation. As a Microsoft Gold Partner, we have extensive experience in complex projects and international business environments. Our cross-technology and multi-cloud solutions ensure seamless integration. With us, you get everything from a single source, from data strategy consulting to the implementation of data platforms and data management projects. Rely on Arvato Systems to lead your company into the data-driven future.

What does Arvato Systems offer?

We identify weak points and create a customized roadmap. Our experts support you in the development of a modern data infrastructure, from strategy to the implementation of data and AI solutions. We integrate data from various sources, use cloud platforms and work closely with leading technology partners. Our expertise in data analysis and optimization as well as in AI and machine learning helps your company to exploit your full data potential and strengthen your competitiveness. Find out more about our offerings and services here!

Data Fabric & Self-Service Business Intelligence

Self-Service Business Intelligence (SSBI) and Data Fabric are closely linked. Data Fabric forms the solid foundation on which SSBI is built and enables the provision of the required data in the right volume and quality, which supports the optimal use and analysis of data. With Data Fabric, the data basis is created to prepare data for your business purposes.

This data can then be easily loaded into self-service BI tools such as Power BI without the need for time-consuming cleansing or linking processes. The data is available so that users can easily access comprehensive analyses and reports. This facilitates the merging of different data sources and enables the rapid creation of meaningful reports and dashboards.

An Example from Practice

Initial situation

A company faced with the challenge of modernizing its existing data platform and migrating to a cloud-based solution turned to us to implement this complex project. The objective was to create a future-proof data architecture to enable data-driven applications such as big data storage & analytics, predictive maintenance and machine learning.

The solution

The solution was to implement a modern data warehouse architecture on the chosen cloud platform that supports the processing of different types of data. Best practices for data integration and processing were used, including ETL/ELT processes and data lake storage. Furthermore, a powerful reporting front-end was provided in the form of Power BI Premium to enable users to easily access the data and analysis. In addition, tools such as Power Apps and Azure Machine Learning Workspace were used to optimize data maintenance and data science analysis.


This comprehensive project led to the standardization, harmonization and optimization of the company's existing BI infrastructure. This made it possible to increase the value and business benefits of data. At the same time, technical operations were shifted to an efficient SaaS-based solution, leading to a reduction in operating costs.

Questions and Answers about Data Fabric

  • Data Fabric is a modern data integration architecture and strategy that seamlessly connects different data sources and systems. It enables the efficient integration and management of data regardless of its physical storage or origin. Through advanced technologies such as big data and cloud computing, it provides unified data access, increases data agility and facilitates access to business-critical information. Find out more about data and automation here.

  • Data management and data fabric are two closely related concepts. A data fabric is a unified architecture that consists of services or technologies running on it and connects different cloud and on-premises environments. It supports companies in managing their data by means of comprehensive functionality. Data Fabric can be seen as a kind of "data management platform" that helps companies to manage and use their data more effectively.

    In addition, Data Fabric enables a holistic view of enterprise data, which in turn supports data governance and data management. Data governance deals with who can access which data and who is responsible for its quality and security. Data management is the technical aspect that ensures data maintenance and processing. Both are closely linked to Data Fabric as they build on the unified database that Data Fabric provides. 

  • The main difference between Data Fabric and Data Mesh lies in their approach to data management. Data Fabric focuses on centralized data integration and management, while Data Mesh focuses on decentralized data ownership and divides data into domain-specific teams. Data Fabric is more technology-centric, while Data Mesh focuses on organization and culture. The choice between the two approaches depends on the individual needs and goals of an organization. Our experts are available to answer any questions you may have.

  • Implementing an effective data integration architecture requires in-depth expertise, technology solutions and industry knowledge. An experienced partner like Arvato Systems offers all this and can develop customized integration solutions. Arvato Systems provides scalability, security, data protection and comprehensive support to ensure your data integration architecture runs smoothly and meets current requirements. Let us advise you.

Your Contacts for Data and Automation

Volker Greaves
Expert for Data and Automation
Dominik Kukielak
Dominik Kukielak
Expert for Data Platforms & BI