Data analysis and visualization MCQs in Supply Chain

MCQs on Data Analysis and Visualization in Supply Chain

  1. Which of the following is NOT a common data visualization tool used in supply chain analysis?
    • A) Tableau
    • B) Power BI
    • C) Excel
    • D) SPSS
    • Answer: D) SPSS
  2. What is the primary purpose of using data visualization in supply chain management?
    • A) To increase data storage capacity
    • B) To simplify complex data and identify trends
    • C) To create data security protocols
    • D) To develop software applications
    • Answer: B) To simplify complex data and identify trends
  3. In supply chain analytics, what does the acronym KPI stand for?
    • A) Key Performance Indicator
    • B) Knowledge Process Improvement
    • C) Key Product Index
    • D) Knowledge and Process Integration
    • Answer: A) Key Performance Indicator
  4. Which of the following charts is best suited for showing the distribution of a single quantitative variable?
    • A) Bar chart
    • B) Line chart
    • C) Histogram
    • D) Pie chart
    • Answer: C) Histogram
  5. In the context of inventory management, what does ABC analysis help to identify?
    • A) Most and least profitable customers
    • B) Products with high sales volume
    • C) High, medium, and low-value inventory items
    • D) Supplier reliability
    • Answer: C) High, medium, and low-value inventory items
  6. Which of the following methods is commonly used for forecasting demand in supply chain management?
    • A) Regression analysis
    • B) SWOT analysis
    • C) Five Forces analysis
    • D) Scenario planning
    • Answer: A) Regression analysis
  7. What type of chart would be most appropriate for comparing the lead time for different suppliers?
    • A) Pie chart
    • B) Line chart
    • C) Bar chart
    • D) Scatter plot
    • Answer: C) Bar chart
  8. In supply chain data analysis, what does the term ‘Big Data’ refer to?
    • A) Large files that are difficult to store
    • B) A vast volume of data that is complex and grows exponentially
    • C) Data that is larger than 1 TB
    • D) Data stored on external hard drives
    • Answer: B) A vast volume of data that is complex and grows exponentially
  9. Which of the following best describes a “dashboard” in supply chain analytics?
    • A) A type of data storage system
    • B) A user interface for visualizing and analyzing key performance metrics
    • C) A database management tool
    • D) A programming language for data analysis
    • Answer: B) A user interface for visualizing and analyzing key performance metrics
  10. In data visualization, what does the term “drill down” refer to?
    • A) The process of increasing data security
    • B) A method to dig deeper into more detailed data from a summary view
    • C) The use of multiple colors in charts
    • D) A technique for reducing data size
    • Answer: B) A method to dig deeper into more detailed data from a summary view

More MCQS on Management Sciences

  1. Green supply chain management MCQs 
  2. Sustainable Operations and Supply Chains MCQs in Supply Chain
  3. Decision support systems MCQs in Supply Chain
  4. Predictive analytics in supply chains MCQs in Supply Chain
  5. Data analysis and visualization MCQs in Supply Chain
  6. Supply Chain Analytics MCQs in Supply Chain
  7. Demand management MCQs in Supply Chain
  8. Sales and operations planning (S&OP) MCQs in Supply Chain
  9. Forecasting techniques MCQs in Supply Chain
  10. Demand Forecasting and Planning MCQs in Supply Chain
  11. Contract management MCQs in Supply Chain
  12. Strategic sourcing MCQs in Supply Chain
  13. Supplier selection and evaluation MCQs in Supply Chain
  14. Procurement and Sourcing MCQs in Supply Chain
  15. Just-in-time (JIT) inventory MCQs in Supply Chain
  16. Economic order quantity (EOQ )MCQs in Supply Chain
  17. Inventory control systems MCQs in Supply Chain
  18. Inventory Management MCQs in Supply Chain
  19. Total quality management (TQM) MCQs in Supply Chain
  20. Quality Management MCQs in Supply Chain
  21. Material requirements planning (MRP) MCQs in Supply Chain
  22. Capacity planning MCQs in Supply Chain
  23. Production scheduling MCQs in Supply Chain
  24. Production Planning and Control MCQs
  25. Distribution networks MCQs in Supply Chain
  26. Warehousing and inventory management MCQs in Supply Chain
  27. Transportation management MCQs in Supply Chain
  28. Logistics Management MCQs in Supply Chain
  29. Global supply chain management MCQs in Supply Chain
  30. Supply chain strategy and design MCQs in Supply Chain
  31. Basics of supply chain management MCQ in Supply Chains
  32. Supply Chain Management MCQs
  33. Introduction to Operations Management MCQs in Supply Chain
  34. Fundamentals of operations management MCQs 
  35. Operations & Supply Chain Management MCQs
  36. Business Intelligence MCQs
  37. distributed computing frameworks MCQs
  38. Handling large datasets MCQs
  39. Big Data Analytics MCQs
  40. neural networks, ensemble methods MCQs
  41. Introduction to algorithms like clustering MCQs
  42. Machine Learning MCQs
  43. time series forecasting MCQs
  44. decision trees MCQs
  45. Modeling techniques such as linear and logistic regression MCQs
  46. Predictive Analytics MCQs
  47. Power BI MCQs
  48. using tools like Tableau MCQs
  49. Techniques for presenting data visually MCQs
  50. Data Visualization MCQs
  51. Data manipulation, MCQs
  52. SQL queries, MCQs
  53. Database fundamentals, MCQs
  54. Data Management and SQL, MCQs
  55. regression analysis, Mcqs
  56. inferential statistics, Mcqs
  57. descriptive statistics, Mcqs
  58. Probability theory, Mcqs
  59. Statistics for Business Analytics
  60. regression analysis, Mcqs
  61. inferential statistics
  62. descriptive statistics, Mcqs
  63. Probability theory, Mcqs
  64. Statistics for Business Analytics
  65. Management Sciences MCQs

Leave a Comment

All copyrights Reserved by MCQsAnswers.com - Powered By T4Tutorials