12. Business Intelligence and Knowledge Management Flashcards
What is the difference between explicit and tacit knowledge?
- Explicit Knowledge: Easily shared and documented
- Tacit Knowledge: Personal, experience-based, and harder to express
What are the 4 processes in the SECI Model of knowledge conversion?
- Socialization: Sharing tacit knowledge through experiences.
- Externalization: Converting tacit knowledge into explicit knowledge.
- Combination: Organizing and integrating explicit knowledge.
- Internalization: Using explicit knowledge to develop new tacit knowledge.
What is Business Intelligence (BI)?
A set of processes, tools, and systems that help organizations make data-driven decisions by analyzing data and presenting actionable insights.
What are the components of BI systems?
- Data sources (internal and external).
- Data warehouse.
- Analytical tools (e.g., OLAP, data mining).
- Dashboards and reports.
What are the main benefits of using Business Intelligence (BI)?
- Improved decision-making.
- Better understanding of market trends.
- Increased efficiency in operations.
- Identification of new opportunities.
What are the 3 key processes in knowledge management?
- Knowledge Capture: Gathering knowledge from various sources.
- Knowledge Sharing: Spreading knowledge across the organization.
- Knowledge Application: Using knowledge to solve problems or innovate.
What are the 3 main types of knowledge management systems?
- Content Management Systems (CMS): Store and manage explicit knowledge.
- Collaborative Tools: Facilitate sharing and teamwork (e.g., Slack, Microsoft Teams).
- Expert Systems: Capture and use expertise to assist decision-making.
What are the challenges in implementing knowledge management?
- Difficulty in capturing tacit knowledge.
- Resistance to sharing knowledge.
- Lack of integration between knowledge systems.
- Ensuring knowledge is updated and relevant.
What are 4 common tools used in Business Intelligence (BI)?
- OLAP (Online Analytical Processing): Analyze data from multiple perspectives.
- Data Mining: Identify patterns and relationships in data.
- Dashboards: Visualize key metrics and trends.
- Predictive Analytics: Forecast future trends based on data.
Why is knowledge management important for organizations?
- Enhances innovation by sharing ideas.
- Improves decision-making with accessible information.
- Reduces duplication of effort.
- Increases efficiency in processes.