Computer 9th Chap 4 : Topic 3.6 - Maryam Publications

Computer Chapter 4 : Topic 3.6

Value of Big Data

1 / 11

A company collects millions of customer transactions and analyzes them to improve sales strategies. What makes this large collection of data valuable to the business?

A) It eliminates the need for data analysis

B) It increases the number of computer files only

C) It helps generate useful insights for decision-making

D) It reduces the need for customer interaction

2 / 11

A retail store studies customer purchasing patterns from large datasets to identify popular products. Which aspect of big data creates value in this situation?

A) Increasing storage space requirements

B) Reducing the amount of collected data

C) Discovering hidden patterns and trends

D) Creating duplicate records

3 / 11

Why is big data considered an important asset for modern businesses operating in highly competitive markets?

A) It prevents businesses from facing risks

B) It guarantees success without planning

C) It replaces all employees permanently

D) It provides evidence-based information for strategic decisions

4 / 11

A company analyzes customer feedback from social media, surveys, and reviews to improve its products. What makes this data valuable?

A) It reduces internet connectivity requirements

B) It removes the need for product development

C) It helps understand customer opinions and preferences

D) It increases hardware costs automatically

5 / 11

A transportation company uses historical traffic data to predict congestion and improve route planning. Which value of big data is demonstrated here?

A) Increasing network traffic

B) Forecasting future events and trends

C) Limiting information sharing

D) Reducing data accuracy

6 / 11

A business identifies customers who may stop using its services by analyzing their past activities. What valuable outcome does big data provide?

A) Increased file duplication

B) Automatic hardware upgrades

C) Better customer retention strategies

D) Reduced database capacity

7 / 11

Which statement best explains why collecting large amounts of data alone does not automatically create value?

A) Businesses should avoid analyzing data

B) Data is valuable only when printed on paper

C) Large datasets cannot be processed by computers

D) Data becomes valuable only when analyzed to produce meaningful insights

8 / 11

A supermarket discovers through data analysis that certain products are often purchased together. What makes this information valuable?

A) It reduces sales opportunities

B) It eliminates inventory management needs

C) It supports better marketing and product placement decisions

D) It decreases customer satisfaction

9 / 11

Which of the following best represents the value that big data provides to organizations?

A) Increasing the number of unused records

B) Preventing customers from giving feedback

C) Making business operations more complicated

D) Converting information into actionable business knowledge

10 / 11

A company uses big data analysis to identify the most profitable customer segments before launching a new product. What benefit does this provide?

A) Reduced understanding of customer needs

B) More effective business planning and resource allocation

C) Lower data collection capabilities

D) Increased uncertainty in decision-making

11 / 11

What is the primary reason that organizations invest heavily in big data technologies and analytics tools?

A) To gain insights that improve efficiency, decision-making, and business performance

B) To store unlimited data without analyzing it

C) To replace all existing information systems immediately

D) To eliminate the need for managers and employees

Your score is

0%