The following should be considered: Consider if predictive analytics, such as the use of big data, would have succeeded in marketing if it had been used 15 years ago. Is there a reason why this is the case?
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The following should be considered: Consider if predictive analytics, such as the use of big data, would have succeeded in marketing if it had been used 15 years ago. Is there a reason why this is the case?
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- What forecasting techniques are used in the management of technology and innovation?Take into consideration the following: Do you believe Big Data and Predictive Analytics, for example, would have been useful in marketing ten years ago? What's more, why is this the case?What are the differences between descriptive, predictive, and prescriptive analytics? Explain in detail with examples how each of these can be useful in the current business world.
- Take into account the following: Do you think Big Data and Predictive Analytics would have been useful in marketing a decade or two ago? And how did things get to this point?In the context of CRM, what is the significance of predictive analytics, and how does it aid in making data-driven decisions for customer engagement and retention?Let's think about this: Do you think Big Data and Predictive Analytics, two examples of modern marketing technologies, would have been effective if used a decade or two ago? How come this is the case?
- Keep the following in mind: Do you believe that, say, Big Data or Predictive Analytics, would have been effective in marketing a decade or two ago? What causes this, exactly?Bear the following points in mind: Do you believe that Big Data and Predictive Analytics would have been successful in marketing 10-15 years ago? What is the reason behind this?What are the differences between business intelligence and business analytics? Why would one choose one over the other if a decision were made not to employ both?
- Assume that this restaurant was one of a chain of 20 restaurants across Greater Sydney with a head office in the CBD. Compare and contrast the Jury of Executive Opinion and the Sales Force Composite Method when it comes to generating business forecasts. You must contextualise your discussion to this case studyHow do you say "predictive analysis," and what is it? Describe how this might be used.What changes would you make if you were in control of the iTunes store's database administration? Which methods of forecasting would you suggest employing predictive analytics for in order to ascertain which musical acts and films will have the biggest number of ticket sales in the next year?