Tradition meets innovation
Organizational knowledge management at virtual earth GmbH forms the backbone of our knowledge structure. It includes proven methods such as intellectual capital reports, the systematic recording and evaluation of intellectual capital, as well as the use of wikis and internal knowledge databases, which promote the collaborative sharing of information and experience within the company.
Glossaries and the importance of definitions
A central tool in our approach is the comprehensive glossary, which clarifies both specialist and general terms. These definitions are not limited to organizational content, but also include technical specifications and process descriptions. This creates a common language that avoids misunderstandings and facilitates communication across departmental boundaries.
Integrating a technical database
Extending our organizational knowledge management with an end-to-end technical database changes the way knowledge is managed and used. By integrating technical data and process information into our glossary and tagging it with Persistent Identifiers (PIDs), we create a reliable reference source that enables the clear assignment and long-term tracking of information. This integration enables organizational knowledge assets to be maintained and updated more accurately, which in turn increases the efficiency and effectiveness of our overall knowledge management strategy.
Result: A coherent knowledge ecosystem
By integrating the technical data views and integration into organizational knowledge management, a coherent knowledge ecosystem is created that blurs the boundaries between data and knowledge. This leads to a deeper and more comprehensive use of the available information, which significantly improves our decision-making processes and ability to innovate.
Page 2: Information integration and technical data integration at virtual earth GmbH
Data as a strategic resource
In the context of technical data integration, virtual earth GmbH places particular emphasis on modern information integration techniques such as ETL processes (Extract, Transform, Load) and a data-centric architecture. These approaches make it possible to extract, transform and efficiently store large volumes of data from various sources.
The role of ETL and data architecture
ETL processes and the central data architecture are crucial for creating a uniform and accessible database that serves as the basis for analytical and operational decisions. These processes ensure that data is not only collected, but also available in a form that simplifies its analysis and use.
Organizational knowledge management as an amplifier
Integrating these technical processes into organizational knowledge management significantly expands their benefits. By incorporating organizational insights and knowledge content into data integration, a richer information landscape is created. Organizational practices such as regular knowledge reviews and the integration of expert knowledge into data maintenance promote contextualized and targeted data usage.
Common view: Added value through synergy
The fusion of organizational knowledge management and technical data integration leads to an integrated approach that leverages the strengths of both spheres. By mutually reinforcing the methods and technologies, we maximize the benefits of our data and knowledge resources, which leads to better informed decisions and increased organizational agility.
Both perspectives show that the integration of the other area represents a significant enrichment for the overall system