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Questions and Answers
Which of the following best describes data?
What is the purpose of analyzing data practices in an organization?
How can data be visualized?
What is the difference between primary and secondary sources of data?
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What is the purpose of distinguishing how to be a proactive data practitioner?
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Study Notes
Challenges and Opportunities in Becoming a Data-Driven Organization
- Unit I focuses on the challenges of becoming a data-driven organization
- The goal is to identify hurdles that organizations face in this process
- The unit also emphasizes the opportunities of analyzing data practices within the organization
- The aim is to understand how data can benefit the organization
- It also highlights the importance of being a proactive data practitioner
- Data refers to characteristics or information, usually numerical, collected through observation or records
- It is measured, collected, reported, analyzed, and can be visualized using graphs or other analysis tools
- Data is represented or coded in a form suitable for better usage or processing
- An example of data is Mark's scores on five Math tests conducted in 10 weeks: 45, 23, 67, 82, 71
- Data collection can be done through primary sources (researcher collects data first-hand) or secondary sources (researcher obtains already collected data)
- Primary sources provide original data, while secondary sources use existing data
- Both sources are essential for gathering data and conducting research.
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Description
Test your knowledge on becoming a data-driven organization and learn how to overcome challenges in this quiz. Identify the benefits of data practices and discover ways to be a proactive data practitioner.
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