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There are now several ways in which predictive analytics is being used to improve the overall customer experience. One is obviously in predicting customer needs using business analytics to run through entire history of purchases, demographics, gender and other such aspects. The next is to provide instant product or service feedback. The third is to identify the risks on flight takers, or those who may shift to other competitor brands. A more appropriate pricing model may also be deduced thanks to the business intelligence captured. Staffing decisions may also be taken accordingly, on whether to increase the manpower or not. The service model may also be rectified on a preemptive style, rather than only when the feedback gets really bad, out in the open. The data captured can likewise be used to conduct a real- time marketing. The future can thus be saved by using this form of predictive analytics.

Source:https://www.forbes.com/sites/blakemorgan/2019/01/16/7-kinds-of-predictive-analytics-for-customer-experience/#141bf1004223

Uploaded Date:22 January 2019

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