Data Fabric: Redefining Data Integration

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.

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.