Training Course Knowledge Management
Training Course Knowledge Management in Nairobi and Mombasa, Kenya
Knowledge Management (KM) is a strategic asset that enables organizations to capture, organize, share, and utilize knowledge to enhance efficiency, innovation, and competitiveness. In today’s knowledge-driven economy, effective KM practices are essential for fostering continuous learning, improving decision-making, and sustaining organizational success. This training course is designed to provide participants with a deep understanding of KM concepts, tools, and strategies to maximize the value of organizational knowledge.
The course highlights the significance of creating a knowledge-sharing culture that bridges information silos and empowers teams. Participants will explore methods to implement KM frameworks that align with business goals, ensuring seamless collaboration and innovation. Through practical examples and case studies, the training emphasizes how organizations across industries have harnessed KM to drive growth and adapt to changing market dynamics.
Duration
5 days
Course Objectives
Organizational Benefits
Target Participants
The course is tailored for knowledge managers, HR professionals, IT managers, team leaders, business strategists, innovation officers, and anyone involved in information management, organizational learning, or business process improvement.
Course Outline
Module 1: Fundamentals of Knowledge Management
Module 2: Knowledge Capture and Retention
Module 3: Technology and Knowledge Management Systems
Module 4: Building a Knowledge-Sharing Culture
Module 5: Measuring and Evaluating KM Impact
Module 6: Advanced KM Strategies and Trends
Training Methodology
This course equips participants with the expertise to drive innovation, enhance productivity, and create a resilient knowledge-driven organization. Join us to unlock the full potential of Knowledge Management!
Register as a group from 3 participants for a Discount
Send us an email: info@datastatresearch.org or call +254724527104
Certification
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.
No | Start Date | End Date | Action |
---|---|---|---|
1. | 24/03/2025 | 28/03/2025 | Register |
2. | 03/03/2025 | 07/03/2025 | Register |
3. | 07/04/2025 | 11/04/2025 | Register |
4. | 21/04/2025 | 25/04/2025 | Register |
5. | 17/02/2025 | 21/02/2025 | Register |
6. | 03/02/2025 | 07/02/2025 | Register |
7. | 27/01/2025 | 31/01/2025 | Register |
8. | 06/01/2025 | 10/01/2025 | Register |
14. | 16/12/2024 | 20/12/2024 | Register |
15. | 05/05/2025 | 09/05/2025 | Register |
16. | 19/05/2025 | 23/05/2025 | Register |
17. | 02/06/2025 | 06/06/2025 | Register |
18. | 23/06/2025 | 27/06/2025 | Register |
19. | 07/07/2025 | 11/07/2025 | Register |
20. | 21/07/2025 | 25/07/2025 | Register |
21. | 04/08/2025 | 08/08/2025 | Register |
22. | 25/08/2025 | 29/08/2025 | Register |
23. | 01/09/2025 | 05/09/2025 | Register |
24. | 22/09/2025 | 26/09/2025 | Register |
25. | 06/10/2025 | 10/10/2025 | Register |
26. | 20/10/2025 | 24/10/2025 | Register |
27. | 03/11/2025 | 07/11/2025 | Register |
28. | 24/11/2025 | 28/11/2025 | Register |
29. | 01/12/2025 | 05/12/2025 | Register |
30. | 15/12/2025 | 19/12/2025 | Register |
College House , Along University Way , Nairobi, Kenya
+254724527104/ +254734969612
info@datastatresearch.org
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