Test- Computer Application and Business

What is the primary goal of business analytics?

• To slow down business processes

• To confuse businesses with unnecessary data

• To help businesses make informed decisions

• To hide data from businesses

What is the purpose of data integration?

• To keep data separate and unorganized

• To delete all data from the organization

• To make data inaccessible to users

• To bring together data from multiple sources for analysis

What is the role of dashboards in data analysis?

• To complicate data visualization

• To hide data from users

• To provide a quick overview of key performance indicators

• To slow down decision-making processes

What is the purpose of predictive analytics?

• To look at past data only

• To determine future performance based on data patterns

• To confuse businesses with predictions

• To prevent businesses from making decisions

What is the main goal of data governance?

• To delete all data from the organization

• To make data inaccessible to users

• To ensure data quality, integrity, and security

• To create chaos in data management

What is the purpose of Tableau?

• To complicate data visualization

• To hide data from users

• To slow down decision-making processes

• To create interactive and shareable dashboards from various data sources

What are the types of data analysis?

• Only descriptive analytics

• Only diagnostic analytics

• Descriptive, diagnostic, predictive, and prescriptive analytics

• None of the above

What is the purpose of data reporting?

• To confuse users with complex data

• To slow down decision-making processes

• To present data analysis results in a clear and actionable format

• To hide data from users

What are the components of an effective dashboard?

• Visualizations, interactivity, customization, and mobile compatibility

• Only visualizations

• Only interactivity

• Only customization

What is the purpose of regression in predictive analytics?

• To hide data from users

• To understand relationships between variables

• To slow down decision-making processes

• To confuse users with complex data