Kmaster recommendation for enterprise-level knowledge base systems

With the development and changes of Enterprise Informatization and the rapid growth of knowledge-based employees, enterprise knowledge management has become a step that cannot be ignored in the development strategy, however, the construction of the enterprise knowledge system is not smooth sailing, but there are many obstacles on the contrary. How to smoothly break through these obstacles, sort out and determine the overall knowledge system development and construction of the enterprise has become a problem that enterprise managers must face.

After years of accumulation, the enterprise-level knowledge base platform kmaster has created a complete set of enterprise knowledge management specifications and experience. It is believed that it can provide some ideas and methods for many enterprises.

The following describes how to use kmaster to manage enterprise knowledge in terms of knowledge base management, knowledge display, user motivation, data security, data mining, and training exams:

 

Knowledge Base Management
1. knowledge elements: knowledge classification, originality, title, Introduction, content, attachments, tags, related knowledge, disclosure, and sync to Weibo
2. Customize the knowledge category and set whether to approve the added knowledge for this category
3. intelligently analyze knowledge tags based on the knowledge base content
4. When adding knowledge, you can also choose whether to synchronize it to Weibo: in combination with online marketing and online reminders.
5. Add knowledge, questions, cases, and Courseware
6. Custom knowledge template: You can add the template required by your company.
7. works perfectly with Word and Excel to automatically upload office images and batch upload remote website Images
8. Supports video, audio, Flash, and so on in the body.
9. Supports uploading large attachments
10. Multiple users edit knowledge at the same time
11. Knowledge History version backtracking
12. Comparison of different versions of the Knowledge Base
13. Knowledge scoring
14. Batch Transfer of Knowledge: transfer from one category to another
15. knowledge collection function:
16. favorites and knowledge sharing
17. Knowledge map function: Display knowledge in the form of a map or flow chart
18. Knowledge comments
19. Knowledge Base interface: provides API interfaces to facilitate secondary development

Knowledge Display
1. Display by knowledge category: by release time, by number of reads, by score, by modification time
2. Display by knowledge type: knowledge, problem, Case, courseware
3. View by TAG: Tag Cloud, popular tag
4. Knowledge search: title search, classified search, full-text search, and comprehensive search
5. Share knowledge: review and share some knowledge with others
6. Related Knowledge: You can edit related knowledge together.
7. Similar knowledge: automatically aggregates similar knowledge by tag
8. Knowledge Association: Search Knowledge Base Based on keywords
9. Personal Knowledge search and knowledge favorites search
10. Knowledge Base homepage recommendation
11. Popular Knowledge Display

 

User incentive
1. User credit statistics: motivate users to add knowledge
2. Average user statistics: quantize the quality of user added knowledge
3. User learning statistics: encourage users to read knowledge
4. User interaction statistics: motivate users to score, comment, share, and add to favorites knowledge
5. Calculate and contribute stars, learning stars, and interactive Stars Based on the above data
6. Monthly knowledge rankings: Top 10 points and top 10 hot knowledge
7. The above data has relevant reports, which can be exported to excel and used as the basis for KPI assessment.

 

Data security
1. ehr management: different employees have different Permissions
2. You need to log on to the system to view the knowledge.
3. Classification permission management: different employees can see different categories and can encrypt a specific category separately.
4. Attachment security: attachments are encrypted for download.
5. Knowledge security: You can set whether to allow employees to copy knowledge.
6. Database level: independent server and regular data backup
7. Network Level: SaaS form: HTTPS connection; autonomous model: Independent Network

 

Data Mining
1. Knowledge Base inventory statistics: inventory statistics specific to each category
2. Knowledge Base usage statistics: statistics on the number of reads, the number of reads, the number of knowledge increases, the number of searches, the number of scores, the number of replies, the number of shares, and the number of favorites of the system
3. employee usage statistics: be able to understand the frequency and proficiency of employees' knowledge bases.
4. Tag statistics: able to understand popular tags
5. Score statistics: be able to understand the knowledge of each score
6. Search and mining: including title search and full-text search, which can help you better understand the knowledge of employees and recent hot spots.

 

Training exams
1. Course: knowledge, courseware, and cases can all constitute a course. employees can take public courses and learn the knowledge in the course.
2. Training: Release training locations and training courses, and push the training to employees
3. Questions: Single-choice, multi-choice, judgment, and Q & A constitute the question Library of this module
4. Exam: select questions from the exam questions to generate the exam and push the exam to employees.
5. examination: the examination is conducted online. The knowledge base will not be available for the employee during the examination and the examination time is limited.
6. Exam statistics: Count the pass rate of this exam, etc.

 

Hope to like knowledge management of friends contact me: QQ: 31998589 Email: vagerent@gmail.com