MIS200 Exam 3 Study Guide PDF

Here's a structured study guide based on the key concepts in your uploaded MIS200 Exam 3 Study Guide. \-\-- \#\# \*\*Module 7: Collaboration & Social Media\*\* \#\#\# Key Terms and Concepts 1\. \*\*Virtual Teams\*\* \- Definition: Teams that work together from different locations. \- Collabora...

Here's a structured study guide based on the key concepts in your uploaded MIS200 Exam 3 Study Guide. \-\-- \#\# \*\*Module 7: Collaboration & Social Media\*\* \#\#\# Key Terms and Concepts 1\. \*\*Virtual Teams\*\* \- Definition: Teams that work together from different locations. \- Collaboration Types: \- \*\*Synchronous\*\*: Real-time (e.g., video conferencing). \- \*\*Asynchronous\*\*: Time-independent (e.g., email). 2\. \*\*Collaboration Tools\*\* \- \*\*Electronic Communication Tools\*\*: For messaging and information sharing (e.g., emails, chat). \- \*\*Electronic Conferencing Tools\*\*: For virtual meetings (e.g., Zoom, Microsoft Teams). \- \*\*Collaboration Management Tools\*\*: Tools to manage team collaboration (e.g., Trello, Asana). 3\. \*\*Intranet and Employee Portals\*\* \- Definition: Private networks within an organization to share resources. 4\. \*\*Web Evolution\*\* \- \*\*Web 1.0\*\*: Static content. \- \*\*Web 2.0\*\*: User-generated content, social media. \- \*\*Web 3.0\*\*: Semantic web, AI-driven content customization. 5\. \*\*Social Media Impact on the Workforce\*\* \- Types of Communication: Blogs, vlogs, IM, media sharing, tagging. \- Risks & Management: Open-source software use and cloud-based collaboration risks. 6\. \*\*CMS (Content Management System)\*\* \- Definition: Software to create, manage, and modify digital content. \- Examples: WordPress, Joomla. \-\-- \#\# \*\*Module 8: Business Analytics and Intelligence\*\* \#\#\# Key Terms and Concepts 1\. \*\*Business Analytics & Intelligence\*\* \- \*\*Business Analytics\*\*: Data analysis to drive decisions. \- \*\*Business Intelligence\*\*: Collection of data to inform strategic decisions. \- Tools: Decision Support Systems, Data Science techniques, data mining. 2\. \*\*Advanced Analytics\*\* \- Includes AI, machine learning, and neural networks for predictive insights. 3\. \*\*Big Data\*\* \- Definition: Large and complex data sets. \- Features: Volume, velocity, variety. 4\. \*\*Databases\*\* \- Database vs Spreadsheet: Databases are for large data storage; spreadsheets handle small data sets. \- \*\*DBMS (Database Management System)\*\*: Software for database interactions (e.g., SQL Server). 5\. \*\*Data Storage Solutions\*\* \- \*\*Data Warehouse\*\*: Central repository for data. \- \*\*Data Lake\*\*: Storage for raw data in its native format. \- \*\*Data Mart\*\*: Subset of a data warehouse tailored for specific needs. \-\-- \#\# \*\*Module 9: Business Processes & Enterprise Systems\*\* \#\#\# Key Terms and Concepts 1\. \*\*Core Business Processes\*\* \- Functional Areas: Marketing & sales, supply chain, manufacturing, HR, etc. \- Processes: Order-to-cash, procure-to-pay, make-to-stock/make-to-order. 2\. \*\*Enterprise Systems\*\* \- \*\*Standalone vs Integrated Applications\*\*: Standalone applications are isolated, while enterprise systems integrate data across the organization. \- \*\*ERP (Enterprise Resource Planning)\*\*: Integrates core business processes. Key benefits: Streamlined operations, centralized data. 3\. \*\*Business Process Management (BPM)\*\* \- Definition: Continuous process improvement. \- Steps: Define, model, execute, monitor, and optimize. \-\-- \#\# \*\*Excel: Key Terms and Concepts\*\* 1\. \*\*Statistical Functions\*\* \- Basic Excel functions (e.g., SUM, AVERAGE) used for data analysis. 2\. \*\*Tables & Pivot Tables\*\* \- Purpose: Organize and summarize data. \- Pivot Tables: Tool for summarizing large data sets and identifying trends. \#\#\# Tips \- Practice basic Excel functions (from previous exams) for familiarity with foundational skills. \-\-- Good luck on your exam! Focus on understanding each topic and practicing Excel functions to reinforce learning.