WorksheetsChapter 5 Challenges in the Data Analytics Process
Total questions: 10
Worksheet time: 3mins
Which challenge arises when data is stored in isolated departments without integration?
Data visualization
Data silos
Algorithm overfitting
Ethical bias
What is a major pitfall of using incomplete datasets?
Faster processing speeds
Reduced storage costs
Improved data privacy
Inaccurate or biased conclusions
Which term describes the difficulty of managing extremely large datasets?
Data redundancy
Data overload
Data governance
Data anonymization
What is an example of confirmation bias in data analytics?
Analyzing data for pre-existing belief
Cleaning data for missing values
Encrypting sensitive data
Using random sampling methods
Which ethical issue involves using data without explicit user permission?Informed consent violation
Algorithm optimization
Data visualization
Data integration
Informed consent violation
Why is anonymization critical in ethical data practices?
To reduce dataset size
To simplify data analysis
To improve computational speed
To protect individual privacy
What ethical risk arises from using biased training data in machine learning?
Enhanced model accuracy
Reduced storage requirements
Discrimination in algorithmic decisions
Faster data processing
How can organizations address poor data quality?
Avoid data validation
Use smaller datasets
Implement data cleaning
Ignore missing values
What strategy helps break down data silos in large organizations?
Reducing data collection
Encouraging inter-department collaboration
Using separate databases for each team
Prioritizing manual data entry
Which practice reduces algorithmic bias in data analytics?Regularly auditing datasets
Limiting stakeholder input
Avoiding diverse data sources
Regularly auditing datasets
Using only historical data
