Consulting
Consulting for industrial data projects
We help companies to clearly define and prioritize industrial data projects from a professional and technical perspective and to translate them into reliable next steps.
Make a requestConsulting focus
Our consulting services are aimed at companies that want to systematically record and evaluate industrial data and transfer it into specific applications.
Advice on machine data acquisition and integration
We provide support in the selection of suitable data sources, in architectural issues between OT and IT and in the connection of machines, sensors and control systems.
Advice on data-driven production
Together, we look at which key figures, processes and analysis approaches are relevant for transparency, root cause analysis and continuous improvement.
Advice on individual data-based applications
This includes specialist concepts for analysis applications, user interfaces, data products and integrations into existing system landscapes.
Advice on the use of AI in production
We classify where AI can be usefully applied in production environments, what data requirements exist and how solutions can be introduced technically and organizationally.
Procedure
How we proceed in consulting projects
Depending on the scope of the project, the focus can be on analysis, design or implementation support. The aim is always to provide a sound basis for decision-making and a clear next step.
Understanding the initial situation
We start by looking at processes, data sources, existing systems and organizational framework conditions.
Derive target image and options for action
Based on this, we develop meaningful target images, technical options and prioritized implementation steps.
Professional implementation support
If required, we provide further technical support for the introduction, for example with architecture decisions, data models, application design or the classification of AI approaches.
Results
Possible results of the consultation
The specific results depend on the consulting objective. Typically, professional and technical foundations are created with which teams can continue working directly.
01
Classification
Analysis of the initial situation
Documentation on relevant data sources, systems, process requirements and technical framework conditions.
02
Concept
Specialist and technical concept
Structured recommendations on architecture, data models, analysis modules or possible application images.
03
Implementation
Prioritized next steps
A reliable basis for the targeted implementation of data projects, analysis applications or AI projects in the next step.
Demo
Experience Bytefabrik live
Arrange a demo to get to know the platform, analysis and AI functions based on your questions.