Implementation
Data modeling for consistent and linked information
We develop data models that relate your information and structure it in a technically understandable way. This creates the basis for networked knowledge and powerful applications.
Opportunities
Why data modeling is crucial today
Technical information is created in a variety of systems and contexts. Editorial systems, PIM systems, service platforms, portals and knowledge databases grow in parallel and often independently of each other. The result: information is available, but difficult to find, hardly reusable and can only be networked to a limited extent.
Many companies are realizing that their existing information landscape is reaching its limits.
- Contents follow different logics
- Metadata is inconsistent or missing
- Reuse is limited, maintenance effort increases
- New requirements such as intelligent search or AI integration are difficult to implement
Data modeling creates the basis here: it structures information, links it in a meaningful way and makes it efficiently usable. This raises the question of how far one should go – from improved metadata management to semantic models – and how suitable standards can be integrated into existing systems.
Data modeling in detail
From initial orientation to a viable data model
Whether as a sub-project or as part of the implementation of a knowledge graph, we have already been able to accompany many companies through the step of data modelling for optimized information processes. We see the focus on specific use cases and strategic goals as a decisive success factor. This is the only way to create practical data models that work in everyday life, are accepted by the teams and are sustainable in the long term.
01Target definition
The first step is to jointly clarify the objectives, i.e. to define what information is to be used for in the future and what specific improvements are to be achieved. Search, reuse, networking or automation are always related to real work processes.
As this step is essential, we always recommend – if not already done – to start such a project when developing concrete goals and objectives.
02Analysis of the existing information landscape
In the next step, we analyze the existing data, content and structures. We look at systems, information architectures, terms and existing metadata. This reveals where inconsistencies arise, where there is potential and which established structures need to be taken into account.
03Modeling of data and metadata
On this basis, we develop the actual data and metadata model. We define central information objects, their properties, metadata and relationships. This is where we determine what information is, how it is described and how it is connected. Taxonomies and a controlled vocabulary are established in this step. This creates a common language and a reliable basis for further steps.
We then design information structures so that content is modular, consistent and reusable. We use recognized standards such as DITA, iiRDS or S1000D.
04Outlook: Knowledge modeling
If information is to be used intelligently across systems, the model can be expanded to include semantic levels. The resulting semantic models such as ontologies or knowledge graphs form the basis for intelligent networking, context-related information provision and further automation.
Results
Objectives of data modeling
Clearly structured and consistent information
Greater reuse and lower maintenance costs
More efficient processes thanks to consistent data structures
Dissolving information silos through networked data
Robust basis for integration and scalable systems
Sound basis for automation, AI and intelligent networking
Use cases
Added value that data modeling creates in everyday life
The benefits of a data model only become apparent when it is used. That’s why we also support integration into existing system landscapes.
- Improved search, filtering and navigation
- Preparation for personalized or context-related information provision
- Use of metadata management tools and ontology platforms
Our toolbox
