Podcast
Questions and Answers
What type of data is descriptive and includes aspects like color and texture?
What type of data is descriptive and includes aspects like color and texture?
- Statistical data
- Quantitative data
- Comparative data
- Qualitative data (correct)
Usage data refers to information about how individuals interact with a product or service.
Usage data refers to information about how individuals interact with a product or service.
True (A)
Name one purpose of data collection.
Name one purpose of data collection.
Decision Making
An example of ______ data collection is a survey administered to gather feedback.
An example of ______ data collection is a survey administered to gather feedback.
Match the following data collection methods with their descriptions:
Match the following data collection methods with their descriptions:
What is a benefit of using autonomous devices for data collection?
What is a benefit of using autonomous devices for data collection?
Passive data collection involves actively engaging with subjects.
Passive data collection involves actively engaging with subjects.
What are the two main types of data?
What are the two main types of data?
Data collected for planning and forecasting can be considered a purpose of ______.
Data collected for planning and forecasting can be considered a purpose of ______.
Which of the following is NOT a method of manual data collection?
Which of the following is NOT a method of manual data collection?
What type of data is captured to inform decision-making in organizations?
What type of data is captured to inform decision-making in organizations?
Data loggers are designed for real-time data collection.
Data loggers are designed for real-time data collection.
What type of data is collected to evaluate student performance?
What type of data is collected to evaluate student performance?
Customer insights are gathered from __________ history.
Customer insights are gathered from __________ history.
What type of data collection involves directly engaging with participants?
What type of data collection involves directly engaging with participants?
Passive data collection requires active participation from subjects.
Passive data collection requires active participation from subjects.
Match the following data collection purposes with their examples:
Match the following data collection purposes with their examples:
What is the purpose of installing tracking software in video games?
What is the purpose of installing tracking software in video games?
Which of the following is an example of compliance and regulation data?
Which of the following is an example of compliance and regulation data?
Organizations use data for problem-solving and compliance purposes.
Organizations use data for problem-solving and compliance purposes.
Data collected about how individuals interact with a product is referred to as _____ data.
Data collected about how individuals interact with a product is referred to as _____ data.
Match the type of data collection with its description:
Match the type of data collection with its description:
Name two data points collected for weather forecasting.
Name two data points collected for weather forecasting.
Which of the following is an example of active data collection?
Which of the following is an example of active data collection?
IT problems can be solved by analyzing __________ call data.
IT problems can be solved by analyzing __________ call data.
Tracking customer activities on a website can inform product popularity.
Tracking customer activities on a website can inform product popularity.
What is the purpose of using customer viewing history in personalization?
What is the purpose of using customer viewing history in personalization?
What metrics might the tracking software in video games log?
What metrics might the tracking software in video games log?
Collecting data without engaging with subjects is called _____ data collection.
Collecting data without engaging with subjects is called _____ data collection.
The purpose of collecting usage data is to:
The purpose of collecting usage data is to:
Flashcards
Data Collection Methods
Data Collection Methods
Different ways to gather information, including autonomous devices, manual methods, passive observation, active interaction, and usage data.
Qualitative Data
Qualitative Data
Descriptive data, like colors, textures, or experiences. It's not numbers.
Quantitative Data
Quantitative Data
Numerical data, such as height, speed, or counts. It involves numbers.
Manual Data Collection
Manual Data Collection
Gathering data through direct human involvement, like interviews and surveys.
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Autonomous Devices
Autonomous Devices
Devices that collect data automatically without human intervention, enhancing data accuracy.
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Passive Data Collection
Passive Data Collection
Gathering data without actively interacting with the subject, e.g., observing behavior.
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Active Data Collection
Active Data Collection
Gathering data by directly engaging with participants, e.g., through questionnaires or interviews.
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Usage Data
Usage Data
Information about how people use a product or service, like website visits or app usage.
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Data Collection Purpose
Data Collection Purpose
The reasons why data is collected, such as decision-making, research, performance analysis, and problem-solving.
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Data Collection
Data Collection
Systematic gathering of information to gain insights, make decisions, and learn more about people and processes.
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Data collected for decision-making
Data collected for decision-making
Organizations gather data to inform choices about their business, products, or services.
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Data for analysis and research
Data for analysis and research
Researchers collect data to understand a topic, create theories or test hypothesis.
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Data for performance measurement
Data for performance measurement
Organizations collect data to track and assess their performance.
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Data for problem-solving
Data for problem-solving
Organizations use data to find causes and solutions to problems.
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Data for planning and forecasting
Data for planning and forecasting
Data helps businesses anticipate future conditions or outcomes.
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Data for compliance and regulation
Data for compliance and regulation
Organizations collect and record data as required by legal standards or rules.
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Customer insights and personalization
Customer insights and personalization
Organizations analyze customer data to tailor products/services to meet their needs.
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Data for risk management
Data for risk management
Organizations use data to assess and mitigate potential dangers or losses.
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Data for monitoring and evaluation
Data for monitoring and evaluation
Monitoring and evaluation use data to track progress and measure impact.
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Real-time data collection
Real-time data collection
Data is collected and recorded instantly as it occurs.
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Local Data Storage
Local Data Storage
Data is stored directly on the device, not on a server or the internet. It can be accessed offline.
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Tracking Software
Tracking Software
Software that runs in the background to collect data about user activities. It gathers information without user interaction.
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Game Metrics
Game Metrics
Data collected about how players interact with a game. Examples include gameplay time, levels completed, and purchases.
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Data Collection Benefits
Data Collection Benefits
Collecting data helps organisations make informed decisions about product popularity and user preferences.
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Streaming Service Data
Streaming Service Data
Data collected from users interacting with streaming platforms, like viewing habits and preferences.
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Ecommerce Data
Ecommerce Data
Data collected from users on an online store, like product views, purchases, and browsing habits.
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Customer Activity Tracking
Customer Activity Tracking
Software that tracks user behaviour on a website, collecting data about browsing patterns and activity over time.
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Contemporary Data Practices - Collecting Data
- Different methods exist for collecting data
- Data is collected for various purposes like decision-making, analysis, research, and performance monitoring
- Learning objectives include understanding data collection reasons and the different data collection methods
- Starter activity: students are asked to identify three scenarios of data collection in daily life, along with reasons for collection
- Qualitative data is descriptive, including characteristics like color, texture, and taste
- Quantitative data is numerical, such as height, rate, and speed
- Organisations collect data for decision-making, research, performance measurement, problem-solving, planning, compliance, insights, risk management, monitoring, and evaluation
- Manual data collection relies on direct human involvement, including one-on-one interviews, focus groups, questionnaires, and observation
- Autonomous devices collect data without human intervention, increasing accuracy and frequency
- Passive data collection involves observing or monitoring subjects without interacting with them
- Active data collection directly engages with subjects to collect data, often using surveys, interviews, or experiments
- Usage data describes how individuals interact with products, services, or systems, including user behavior, preferences, and usage patterns
- IoT devices are for real-time data collection; data loggers work offline storing data on the device
- Examples of data collection purposes:
- Decision-making: shop deciding on products, new drug development
- Analysis and research: clinical trials, student performance data
- Problem-solving: IT issues
- Planning and forecasting: weather forecasting
- Compliance and regulation: number plate speed cameras
- Customer insights: Netflix recommendations, insurance company claims
- Risk management: hurricane/flood risk assessment, river quality monitoring
- Monitoring and evaluation: product popularity, website customer activity tracking
- Specific examples of data types collected include: Sales data, clinical trial data, student grades, helpdesk call data, weather information, speed and image data, viewing history, claims data, pollution levels, product popularity data
- Data collection methods include passive, active, and manual approaches using autonomous devices.
- Passive data collection observes interactions without actively engaging with subjects.
- Active data collection directly interacts with subjects to collect data.
- Manual data collection involves direct human intervention.
- Data is collected in both online and offline settings, such as websites and video games.
- Tracking software automatically logs data without user input in video games
- Surveys, interviews, and questionnaires are used in active data collection to gather feedback from people
- Questions on examples illustrate the meaning of different types of data and data collecting methods.
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