Element 10 10.2.4 Big Data

What is Big Data primarily used for in customer engagement analytics?

• Predicting customer behaviour

• Reducing staff numbers

• Increasing product prices

• Reducing marketing budgets

Which of the following is a challenge of using Big Data in business strategy?

• Increased revenue

• Data privacy concerns

• Enhanced customer experience

• Improved decision making

What does CRM stand for in the context of Big Data?

• Customer Relationship Management

• Customer Retention Model

• Client Resource Management

• Consumer Response Marketing

How can Big Data improve productivity in an organisation?

• By automating routine tasks

• By increasing product prices

• By hiring more employees

• By reducing the number of meetings

One limitation of Big Data is:

• Improved customer satisfaction

• High storage costs

• Increased marketing effectiveness

• Enhanced data accuracy

How can Big Data drive innovation in a business?

• By providing insights for product development

• By reducing the need for market research

• By decreasing operational costs

• By limiting customer feedback

Which of the following is an advantage of using Big Data in CRM?

• Personalised customer interactions

• Increased customer complaints

• Decreased data accuracy

• Reduced customer insights

What is a common challenge when implementing Big Data solutions?

• Data security issues

• Increased customer loyalty

• Enhanced product quality

How does Big Data contribute to business strategy?

• By identifying market trends

• By reducing employee training

• By increasing administrative tasks

• By limiting business growth

What is a key benefit of using Big Data for customer engagement?

• Better customer segmentation

• More complicated marketing strategies

• Increased product returns

• Reduced customer touchpoints