Data Sources and Collection Methods for Supply Chain Analytics

Question 1

Which of the following is a potential drawback of using structured data in supply chain analytics?

Accepted Answer

Increased complexity in data interpretation for non-technical users

Answer

Improved data quality and consistency

Answer

Increased data accessibility and sharing

Answer

Reduced time and effort in data analysis

Question 2

Identify the option that is NOT a type of data collection method used in supply chain analytics:

Accepted Answer

Data analysis

Answer

Surveys

Answer

Interviews

Answer

Observation

Question 3

Which data collection method involves gathering data from embedded devices or sensors installed in physical assets?

Accepted Answer

Internet of Things (IoT) devices

Answer

Surveys

Answer

Interviews

Answer

Document analysis

Question 4

Which of the following is categorized as unstructured data, often requiring additional processing?

Accepted Answer

Text documents

Answer

Spreadsheets

Answer

Database tables

Answer

XML files

Question 5

Which of the following is not typically considered a data source for supply chain analytics?

Accepted Answer

Financial news articles

Answer

Sales transactions

Answer

Manufacturing data

Answer

Customer feedback surveys

Question 6

Which data collection method involves gathering data from existing sources without direct user input?

Accepted Answer

Automated data extraction

Answer

Manual data entry

Answer

Surveys

Answer

Interviews

Question 7

Which of the following is NOT an advantage of using RFID technology for data collection in supply chain analytics?

Accepted Answer

Data security

Answer

Automated data capture

Answer

High accuracy

Answer

Relatively low cost

Question 8

Which of the following is NOT a primary data collection method used to collect new data?

Accepted Answer

Historical data

Answer

Surveys

Answer

Interviews

Answer

Experimentation

Question 9

What is a key advantage of using structured data in supply chain analytics?

Accepted Answer

It is easier to analyze and compare

Answer

It provides a more complete picture of the supply chain

Answer

It is more accurate than unstructured data

Answer

It is less time-consuming to collect

Question 10

What is the difference between a longitudinal and a cross-sectional study in supply chain analytics?

Accepted Answer

Longitudinal studies collect data over time, while cross-sectional studies collect data at a single point in time

Answer

Cross-sectional studies collect data over time, while longitudinal studies collect data at a single point in time

Answer

Both longitudinal and cross-sectional studies collect data over time

Answer

Neither longitudinal nor cross-sectional studies collect data over time

Question 11

Which of the following is an example of a qualitative data collection method used to gather non-numerical data?

Accepted Answer

Interviews

Answer

Surveys

Answer

Experimentation

Answer

Historical data

Question 12

Within supply chain management, which data collection method is widely regarded as the most precise and dependable for acquiring quantitative data?

Accepted Answer

Sensor data

Answer

Surveys

Answer

Interviews

Answer

Observation

Question 13

Which data collection method involves directly observing the source to gather data?

Accepted Answer

Passive observation

Answer

Structured interviews

Answer

Document analysis

Answer

Data mining

Question 14

What is a key advantage of utilizing unstructured data in supply chain analytics?

Accepted Answer

Provides detailed insights into customer preferences and behaviors

Answer

Facilitates advanced predictive modeling

Answer

Simplifies data analysis

Answer

Improves data accuracy

Question 15

Which of the following data collection techniques is specifically designed to gather insights into consumer preferences and behaviors within the context of supply chain management?

Accepted Answer

Surveys

Answer

Interviews

Answer

Observation

Answer

Data mining

Question 16

Which of the following is NOT a valid data collection method in supply chain management?

Accepted Answer

Guesswork

Answer

Interviews

Answer

Document analysis

Answer

Surveys

Question 17

Which of the following is NOT a data collection method commonly used in supply chain management?

Accepted Answer

Experimental studies

Answer

Interviews

Answer

Sensor data collection

Answer

Web scraping

Question 18

Which of the following is NOT a primary data collection method in supply chain analytics?

Accepted Answer

Data mining

Answer

Structured surveys

Answer

Focus group interviews

Answer

Non-structured interviews

Question 19

Which type of data source provides information about historical events and trends that can be used for predictive analysis?

Accepted Answer

Time-series data

Answer

Internal data

Answer

External data

Answer

Cross-sectional data

Question 20

Which type of sampling method ensures that every member of the population has an equal chance of being selected?

Accepted Answer

Simple random sampling

Answer

Systematic sampling

Answer

Stratified sampling

Answer

Convenience sampling

Question 21

Which of the following data cleaning techniques is used to handle missing values in a dataset?

Accepted Answer

Imputation

Answer

Normalization

Answer

Outlier detection

Answer

Deduplication

Question 22

In the context of supply chain analytics, which of the following is an atypical data source?

Accepted Answer

Social media platforms (e.g., Twitter, Facebook)

Answer

Internal enterprise systems (e.g., ERP, CRM)

Answer

External data providers (e.g., industry reports, market research firms)

Question 23

Which of the following is NOT considered a primary data source?

Accepted Answer

Historical data

Answer

Direct observations

Answer

Experiments

Answer

Interviews

Question 24

When conducting quantitative data collection, the primary objective is to:

Accepted Answer

Quantify data into numerical values

Answer

Understand complex issues and generate new theories

Answer

Explore and interpret subjective experiences

Answer

Gather detailed descriptions of phenomena

Question 25

Which data collection method involves observing and recording the behavior of research subjects without direct interaction?

Accepted Answer

Observation

Answer

Interview

Answer

Content analysis

Question 26

In a survey, which type of question allows respondents to provide detailed, unrestricted answers?

Accepted Answer

Open-ended question

Answer

Closed-ended question

Answer

Likert scale question

Answer

Multiple-choice question

Question 27

Which of the following is an advantage of using secondary data?

Accepted Answer

Readily available and often less expensive

Answer

Suitable for all research purposes

Answer

Guaranteed to be accurate and reliable

Answer

Provides real-time insights into current events

Question 28

Which sampling method ensures that all individuals in the population have an equal chance of being selected?

Accepted Answer

Simple random sampling

Answer

Systematic sampling

Answer

Convenience sampling

Answer

Stratified sampling

Question 29

Which type of bias arises when the sample used in a study is not representative of the population being studied?

Accepted Answer

Sampling bias

Answer

Response bias

Answer

Measurement bias

Answer

Non-response bias

Question 30

When conducting data collection, it is important to adhere to ethical principles. Which of the following is NOT an ethical consideration?

Accepted Answer

Fabricating data to support desired outcomes

Answer

Obtaining informed consent from participants

Answer

Protecting the privacy and confidentiality of participants

Answer

Informing participants about the purpose and risks of the study

Question 31

Which of the following is a benefit of using qualitative data?

Accepted Answer

Provides rich insights into customer experiences.

Answer

Accurate representation of large populations.

Answer

Easy to collect and analyze.

Answer

Can be used for predictive analytics.

Question 32

Which of the following techniques is commonly used for collecting quantitative data?

Accepted Answer

Questionnaires

Answer

Observation

Answer

Data mining

Answer

Interviews

Question 33

What is a key consideration when designing a customer satisfaction survey?

Accepted Answer

Ensuring the survey is relevant, bias-free, and easy to understand.

Answer

Using a large sample size.

Answer

Distributing the survey through multiple channels.

Answer

Offering incentives for participation.

Question 34

What is the primary purpose of a data dictionary?

Accepted Answer

To define the meaning, structure, and relationships of data elements.

Answer

To ensure data quality.

Answer

To improve data visualization.

Answer

To facilitate data analysis.

Question 35

Which of the following techniques can help mitigate bias in data sampling?

Accepted Answer

Random sampling

Answer

Data mining

Answer

Qualitative interviews

Answer

Regression analysis

Question 36

What is the fundamental difference between quantitative and qualitative data?

Accepted Answer

Quantitative data is numerical and can be analyzed statistically, while qualitative data is non-numerical and provides descriptive insights.

Answer

Quantitative data is used for predictive analytics, while qualitative data is used for descriptive analytics.

Answer

Quantitative data is more reliable than qualitative data.

Answer

Quantitative data is easier to collect than qualitative data.

Question 37

Which of the following is NOT a primary data collection method?

Accepted Answer

Internet search

Answer

Surveys

Answer

Interviews

Question 38

When conducting a survey, which sampling method is most likely to produce the most representative results?

Accepted Answer

Random sampling

Answer

Convenience sampling

Answer

Quota sampling

Answer

Snowball sampling

Question 39

Which of the following is an advantage of using real-time data in supply chain analytics?

Accepted Answer

Improved decision-making

Answer

Reduced data storage costs

Answer

Increased data accuracy

Question 40

When designing a data collection plan, it is important to consider:

Accepted Answer

All of the above

Answer

Data quality requirements

Answer

Research objectives

Answer

Time and resource constraints

Question 41

Which technology is commonly used for collecting data from sensors and IoT devices?

Accepted Answer

Cloud computing

Answer

Artificial intelligence

Answer

Blockchain

Answer

Machine learning

Question 42

What is the purpose of data cleansing in the data collection process?

Accepted Answer

Remove errors and inconsistencies

Answer

Identify patterns and trends

Answer

Extract insights from data

Answer

Transform data into a desired format

Question 43

Which type of data is characterized by its unstructured and qualitative nature?

Accepted Answer

Textual data

Answer

Temporal data

Answer

Geospatial data

Answer

Numerical data

Question 44

What is the potential consequence of using biased data in supply chain analytics?

Accepted Answer

Inaccurate and misleading decision-making

Answer

Delayed data processing

Answer

Increased data storage costs

Answer

Reduced data security

Question 45

Which data source is an internal system that provides historical and current data on supply chain operations?

Accepted Answer

Enterprise Resource Planning (ERP) systems

Answer

Industry reports

Answer

Social media analytics

Answer

Customer Relationship Management (CRM) systems

Question 46

Which data collection method allows for immediate data gathering from respondents?

Accepted Answer

Online surveys

Answer

Observation

Answer

Focus groups

Answer

Interviews

Question 47

Which type of data source offers insights into customer behavior and preferences based on their transactions?

Accepted Answer

Point-of-sale (POS) systems

Answer

External databases

Answer

Internet of Things (IoT) devices

Answer

Internal databases

Question 48

Which data source provides real-time data on inventory levels, equipment status, and operational efficiency?

Accepted Answer

Sensor data

Answer

Industry reports

Answer

ERP systems

Answer

Customer feedback

Question 49

What is a potential challenge associated with utilizing social media data for supply chain analytics?

Accepted Answer

Bias and limited representativeness due to non-random sampling

Answer

Lack of historical data

Answer

High cost and complexity

Answer

Difficulty in extracting structured data

Question 50

Which data collection method is most appropriate for capturing feedback on customer satisfaction?

Accepted Answer

Customer surveys

Answer

Focus groups

Answer

Observation

Answer

Interviews

Question 51

Which type of data source provides predictive and prescriptive insights to support supply chain decision-making?

Accepted Answer

Simulation models

Answer

Industry benchmarks

Answer

Historical data

Answer

Customer feedback

Question 52

What is a key difference between structured and unstructured data in supply chain analytics?

Accepted Answer

Structured data is organized and easily analyzed, while unstructured data is free-form and requires additional processing.

Answer

Structured data is always quantitative, while unstructured data is always qualitative.

Answer

Structured data is more valuable than unstructured data in supply chain analytics.

Answer

Structured data is only internal, while unstructured data is external.