Examine the parallels and contrasts between Big Data and classic marketing
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- Suggest four techniques with details for segmenting customers in marketing analytics and intelligenceRemember: Do you believe Big Data and Predictive Analytics would have worked in marketing 10 years ago? Why is this?Talk about what's new in the area of information management, how business analytics has changed over time, and the latest business analytics options.
- Describe the concept of predictive analytics in CRM and how it can be used to forecast customer behavior and trends.Explain the concept of CRM analytics and how it helps organizations derive actionable insights from customer data for strategic decision-making.Just explain what Big Data is and how it works. When it comes to competitive advantages, what are Big Data's most significant benefits?
- Consider the following: Do you believe that Big Data and Predictive Analytics would have been effective in marketing 10-15 years ago? And how did this come to be the case?Explain the concept of predictive analytics in CRM and how it can be used to forecast customer behavior and trends.Discuss the concept of predictive analytics in CRM and how it can be used to anticipate customer behavior and improve decision-making.
- What is Big Data, exactly?What are Big Data's most significant competitive advantages?Explain the concept of predictive analytics in CRM and how it can enhance customer engagement and retention.Explore the concept of predictive analytics in CRM. How can predictive modeling and machine learning algorithms be used to improve customer segmentation, lead scoring, and churn prediction?