Data Analytics Lifecycle Quiz

What is the key to success in the Data Discovery and Collection phase?

• Ensuring data is accurate, relevant, and comprehensive.

• Collecting as much data as possible.

• Using only structured data.

• Ignoring external data sources.

What does data cleaning and preprocessing involve?

• Identifying and rectifying errors, duplications, and inconsistencies.

• Collecting data from various sources.

• Visualizing data for better understanding.

• Ignoring missing values.

What is the aim of the Data Exploration and Visualization phase?

• To gain a deeper understanding of the dataset.

• To clean the data.

• To implement data-driven decisions.

• To model data for predictions.

What is the focus of the Data Modeling Analysis phase?

• Developing models to predict outcomes.

• Cleaning the data.

• Visualizing data.

• Collecting data.

What is essential for effective implementation and integration of data analytics?

• Collaboration between Data Analysts and decision-makers.

• Ignoring the recommendations.

• Using only internal data.

• Focusing solely on data collection.

What does regular monitoring in Data Analytics help to identify?

• Potential issues or changes in the data.

• New data sources.

• Data cleaning techniques.

• Visualization methods.

What is the purpose of the Optimization and Improvement phase?

• To enhance the overall effectiveness and efficiency of the Data Analytics process.

• To collect more data.

• To visualize data.

• To ignore previous findings.

What is a key consideration in the Ethical Considerations phase?

• Collaboration among Data Analysts, domain experts, and decision-makers.

• Ignoring data privacy.

• Focusing only on data collection.

• Using outdated algorithms.

What does Big Data refer to?

• The evolution and use of technologies that provide the right user with the right information.

• Only large datasets.

• Data that is easy to process.

• Data that is not relevant.

What does Descriptive Analytics consist of?

• Asking the question: What is happening?

• Asking the question: Why did it happen?

• Asking the question: What is likely to happen?

• Asking the question: What should be done?