Knowledge Management
Managing Director
Knowledge Management: Knowledge management encompasses all measures with which knowledge within a company is systematically recorded, stored, managed and made available in the long term.
- Last updated: 01/15/2026
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It comprises the systematic recording, structuring, provision and updating of knowledge in order to avoid loss of information and accelerate decision-making processes.
Knowledge that has been documented once can be used several times, reduces duplication of work and speeds up the processing of requests in IT and business processes.
Users can find answers independently via self-service portals, chatbots and integrated platforms, which relieves support teams and increases service quality.
ServiceNow, ITIL practices and Knowledge-Centered Service (KCS) ensure consistent knowledge bases, while AI and analytics identify gaps and optimize content.
What is knowledge management?
Knowledge management encompasses all measures with which knowledge is systematically recorded, stored, structured and made available within a company. The aim is to use existing know-how efficiently, avoid information loss and provide employees with access to a central knowledge base at all times.
There are basically two types of knowledge:
Explicit knowledge such as manuals, process documentation or databases that can be easily documented and shared.
Implicit knowledge (tacit knowledge), i.e. the experience of employees, which is often only made accessible through exchange, cooperation and continuous documentation.
In the ITIL framework, knowledge management ensures that knowledge is stored consistently in the service knowledge management system and is available for all relevant processes.
Core tasks in knowledge management
Effective knowledge management is based on four central tasks that ensure the sustainable handling of knowledge in companies:
Recording and documenting knowledge: Existing know-how from projects, support cases or expert knowledge is collected and documented.
Structuring and classifying knowledge: Content is organized, provided with metadata and made findable in a knowledge database, e.g. according to topics such as software, hardware or HR processes.
Provide knowledge and make it available: Employees can access relevant information at any time via self-service portals, chatbots or similar.
Continuously update and improve knowledge: Existing content is regularly reviewed, feedback is incorporated and outdated content is removed to keep the knowledge base up to date.
Special concepts in knowledge management
In addition to the core tasks, two concepts have become established in practice that sustainably improve the handling of knowledge:
Service Knowledge Management System (SKMS): The SKMS is the central knowledge base in which companies store data, documentation and experience reports consistently, prepare them for dissemination and manage them. It forms the basis for analytics, AI-supported searches and integration into ITSM processes.
Knowledge-Centered Service (KCS): KCS anchors knowledge directly in the work process. Every request or solution is documented, checked and reused. This strengthens self-service portals, relieves support teams and ensures a constantly growing knowledge database.
Optimize IT processes with Knowledge Management!
Roles & responsibilities
Successful knowledge management requires clear responsibilities. Only when responsibilities are defined can the knowledge base remain up-to-date and beneficial for all those involved.
Knowledge Manager: Process owner, coordinates the creation, quality assurance and updating of knowledge content.
CIO / IT department: Provides the technical infrastructure, operates the knowledge management tools and ensures integration into other systems.
Technical experts: Document their specialist knowledge, provide content for the knowledge database and ensure its professional quality.
Team Leader / Service Owner: Check content for relevance and completeness and ensure that it also matches the business processes.
Knowledge Management in ServiceNow
In ServiceNow Knowledge Management is a Central module for the structured recording and provision of knowledge. Employees and customers have direct access to relevant information via self-service portals and can resolve many issues independently.
The platform combines a Central knowledge database with AI-supported search, analytics and feedback management. This makes it possible to provide content in context, monitor its use and close knowledge gaps in a targeted manner.
A particular advantage lies in the integration with ITSM processes such as Incident, Change or Service Request Management. Solutions from these processes are automatically incorporated into the knowledge base and will be available to all employees and, if necessary, customers in future.
Knowledge management in ServiceNow is based on ITIL practices and supports knowledge-centered service, so that Knowledge continuously maintained and for self-service, chatbots and Automated workflows is made usable.
Typical application examples for knowledge management
A professional knowledge management system shows its added value particularly in day-to-day work when knowledge is directly embedded in processes. Typical scenarios are
Support articles & password reset
A classic example is IT support. Instead of employees having to contact the helpdesk every time, they can use a self-service portal Access documentation independently and quickly. Knowledge articles on common topics such as password resets or standard software installations reduce queries and save time.
Onboarding processes
Knowledge management software plays a central role when onboarding new employees. All relevant information are available in a structured database. This makes the implicit knowledge of experienced colleagues easier to transfer and onboarding more efficient.
Knowledge databases for error analysis
In many companies, a knowledge management system serves as a central platform for error documentation. Findings from incidents are stored, categorized and reused there. This means that known problems can be solved more quickly and valuable expertise is not lost.
Self-service & chatbots
A major success factor in knowledge management is the combination of databases and intelligent assistants. Chatbots access the knowledge base directly and answer simple queries around the clock. For organizations, this means Less effort for support teams and at the same time faster access to relevant information for users.
Advantages of knowledge management for companies
Knowledge management is a central building block for efficient business processes and high service quality. When implemented correctly, it ensures that knowledge is available at all times, information losses are avoided and employees can make informed decisions.
The most important advantages include:
Greater efficiency in day-to-day work: Once content has been created, it can be reused at any time, reducing duplication of work and speeding up processes.
Improved employee and customer satisfaction: Users can find answers independently via self-service portals or chatbots, which increases service quality and reduces the workload of support teams.
Transparency and consistency: Uniformly maintained knowledge databases ensure that information is up-to-date, comprehensible and easy to find.
Continuous optimization: Feedback and analytics help to identify knowledge gaps and further develop content in a targeted manner.
Innovation and data basis for decisions: A structured knowledge base makes it possible to identify trends at an early stage, improve decision-making and act in a data-driven manner.
Frequently asked questions and answers
What does knowledge management mean in IT?
Knowledge management in IT describes the systematic handling of knowledgeto record and store information centrally and make it available to all employees. The aim is to efficiently reuse existing know-how, avoid loss of information and speed up support and business processes.
What is Knowledge Management in ServiceNow?
Knowledge Management in ServiceNow is a module that companies can use to optimize their Manage knowledge centrally and via self-service portals, chatbots or integrated processes. It combines knowledge databases with AI-supported search, feedback mechanisms and analytics so that employees can find answers faster and support teams are relieved.