Data Management

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Data Management

Data Management

Data is one of the most important assets of an organization.

They form the foundation for optimizing your business processes, making important decisions within your company, and successfully implementing them afterward.

We support you in ensuring data quality, efficient storage, easy access, and clear definitions. This is the key to making the best use of the power of this information.

Data Strategy & Architecture

The journey into modern data architectures often begins with moving some or all data from on-premises locations to the cloud.

The cloud is not only affordable but also enables you to break down silos and connect data in creative ways. With cloud and hybrid modernization, you can access modern architectures such as Data Fabric, Data Mesh, artificial intelligence (AI), and workflow automation.

AVDM specializes in developing tailored data strategies and architectures. By analyzing existing IT systems and data flows, AVDM offers customized solutions to optimize data storage, processing, and analysis. With a focus on modern technologies such as cloud computing and artificial intelligence, AVDM enables companies to use their data more efficiently. Additionally, AVDM places great importance on data security and compliance to meet data protection regulations. Through these tailored, secure, and technologically advanced data architectures, AVDM helps companies increase operational efficiency and gain a competitive advantage — Data2Value … that’s who we are, and that’s what we strive for!

Data Integration

Link source and target data with thousands of connectors that recognize metadata, enabling complex integrations to be executed seamlessly.

Whether your data is in a cloud, hybrid, or on-premise environment, your data is easily connected via a standardized data integration platform. From complex new source systems to transformations, all data is centrally managed in a standardized way. Reliable connectivity is ensured through the use of specially developed connectors.

Feed data into cloud warehouses and data lakes.

Integrate data across any cloud using ETL, ELT, Spark, or a fully managed serverless option.

Effectively integrate all applications—on-premise, SaaS, and APIs.

Transform massive volumes of data and process petabytes of data within your cloud ecosystem.

Speisen Sie Daten in Cloud Warehouses und Data Lakes ein

Integrieren Sie Daten auf beliebigen Clouds mit ETL, ELT, Spark oder einer vollständig verwalteten, serverlosen Option.

Integrieren Sie sämtliche Anwendungen, On-Premise oder SaaS und APIs effektiv

Wandeln Sie riesige Datenmengen um und verarbeiten Sie Petabytes an Daten in Ihrem Cloud-Ökosystem

Master Data Management

Connect data across the entire enterprise to gain a 360-degree view and contextual insights—thanks to intelligent Master Data Management (MDM).

The integrated Master Data Management solution is the connecting link between all systems and information within your company. The solution serves as a platform to ensure a “Single Source of Truth” and provides you with a unified 360° view of your key business areas.

Implement comprehensive features for integration, quality, enrichment, and governance in a cloud-native solution.
Enhance self-service capabilities with business-oriented user interfaces and automation.
Integrate and share master data everywhere thanks to development with little or no coding required.
Benefit from AI-based data matching and merging, and take advantage of innovative AI-driven matching adjustments and rule recommendations.

Data Governance

To leverage your enterprise-wide data as an asset, a clear target vision is required—consisting of a vision, mission, and the specific data strategy derived from them.

Manage AI and analytics, and utilize integrated data governance and AI models to access reliable insights.
Combine business and technical views and present data holistically by linking technical metadata with business context.
Gain reliable insights with integrated and automated data quality functions.
Democratize your data and share more data by providing your company’s employees with a data marketplace.

Data Quality

All important decisions in a company are made based on data from various systems. The key factor for accurate decisions is trust in the integrity of the data. To evaluate, improve, and continuously monitor data quality across the enterprise, automated processes must be implemented in your data landscape.

Alle wichtigen Entscheidungen in einem Unternehmen werden auf Basis von Daten aus unterschiedlichsten Systemen getroffen. Der Schlüsselfaktor für korrekte Entscheidungen ist das Vertrauen in die Integrität der Daten.Um die Datenqualität unternehmensweit zu evaluieren, zu verbessern und laufend zu überwachen müssen in Ihrer Datenlandschaft automatisierte Prozesse implementiert werden.

Aktivieren Sie das schnelle Data Profiling und führen Sie kontinuierliche Analysen durch, um Ihre Daten besser zu verstehen und Probleme zu erkennen.

Standardisieren Sie die Datenqualität und integrieren Sie Funktionen für Datenbereinigung und Standardisierung, Adressüberprüfung und mehr.

Nutzen Sie vorgefertigte Regeln und Acceleratoren und nutzen Sie gängige Datenqualitätsregeln für beliebige Daten von sämtlichen Quellen erneut.

Fördern Sie Data Observability und verstehen Sie den Zustand Ihrer Daten mit Monitoring, Nachverfolgung und Benachrichtigungen.

Data Virtualization

Data virtualization enables you to build a logical data layer that integrates all enterprise data distributed across various systems, manages unified data for centralized security and governance, and provides it to data users in real time.

Data virtualization offers a virtual approach to accessing, managing, and delivering data without physically replicating it.
It integrates data stored in silos across different enterprise systems, regardless of file format or location.
Data virtualization provides a centralized, secure layer for cataloging, searching, analyzing, and managing unified data and their relationships.
It delivers integrated information in real time to the applications used by data analysts.