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Industrial Data Consulting

Data ideas become solid projects.

We combine experience in a wide range of manufacturing processes with software expertise. Our commitment: We understand your challenge and work with you to develop the best solution.

Technology is rarely the first question that comes to mind.

Before selecting systems or integrating data, the process, benefits, and responsibilities must align. We establish this common basis for decision-making.

A Look Inside an Industrial Production Facility
Current Situation in Production
  1. 01

    Understanding the Data

    Systematically categorize machines, interfaces, data quality, and existing IT/OT systems.

  2. 02

    Prioritize Use Cases

    Evaluate operational issues in terms of benefits, data requirements, and feasibility.

  3. 03

    Ensure the target is secured

    Jointly clarify architectural, operational, and organizational requirements.

Commuting Together

From a production problem to an actionable roadmap.

The scope adapts to your specific situation. However, each step provides a result that you can use to make decisions and continue your work.

  1. 01

    Understand

    Jointly map processes, users, data sources, and system boundaries.

    Interviews · Workshops · System Analysis

  2. 02

    Classify

    Evaluate areas of action from a subject-matter and technical perspective—including appropriate AI applications.

    Use Case Diagram · Feasibility · Risks

  3. 03

    Design

    Define the data model, architecture, and application view as a cohesive target system.

    Target Architecture · Solution Components

  4. 04

    Plan

    Break down the pilot and rollout into prioritized, manageable implementation steps.

    Roadmap · Efforts · Next Decision

Tangible Results

No results without implementation.

Depending on the assignment, you’ll receive a solid combination of expert analysis, technical design, and prioritized next steps.

01

Shared Situation Assessment

Relevant processes, data sources, systems, quality risks, and responsibilities are documented in a traceable manner.

02

Specialist and technical concept

Use cases, data models, architectural components, and integration points come together to form a consistent target vision.

03

Prioritized Implementation Roadmap

The scope of the pilot, evidence of success, and scaling steps are described in such a way that implementation can begin immediately.

Project inquiry

Turn your IIoT or analytics initiative into a concrete plan

Briefly describe your goal, data sources, and operating environment. We will respond with an initial assessment and a proposed next step.

Discuss your project