Decentralized data architectures: enabling scalable organizational growth
Explore how shifting from centralized data management to domain-oriented architectures can resolve integration complexities and foster rapid business scaling.
INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
37 publications
Explore how shifting from centralized data management to domain-oriented architectures can resolve integration complexities and foster rapid business scaling.
Explores architectural strategies for managing integration chaos in modern enterprise environments through API gateways and schema registries.
Explore architectural patterns for robust system integration and master data management, ensuring scalability and data integrity in complex enterprise environments.
Integrating AI agents into business processes presents a conflict between their dynamic capabilities and the need for structured control, impacting operational efficiency and security.
Exposing hidden inefficiencies and unauthorized workarounds by analyzing objective digital footprints, transforming chaotic operations into manageable digital flows.
Uncontrolled automation and AI integration can scale inefficiencies and introduce critical risks, necessitating a structured approach to workflow design and technology adoption.
Explore how evidence-based process discovery, rule separation, and iterative pilots can overcome common automation project failures and drive continuous operational improvement.
Choosing the right automation tool is crucial for operational success, balancing rule-based systems with AI's cognitive capabilities to avoid technical debt and security risks.
Explore how separating complex business logic from process flows using BPMN, CMMN, and DMN enhances operational flexibility and adaptability.
This article explores the challenges of automating business processes based on subjective perceptions and offers a data-driven approach to ensure successful digital transformation.
This article explores the evolution from traditional content management to intelligent information processing, addressing challenges in manual document handling and outlining AI-driven solutions.
This article explores critical challenges in migrating to modern ECM platforms, focusing on stalled workflows, IDP limitations, and the necessity of robust fallback mechanisms and continuous validation.