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Question: What is predictiveanalytics and how is it being used in contact centers? Answer: Predictiveanalytics is playing an increasingly vital role in contact centers. In short, predictiveanalytics capabilities can help companies provide an optimal customer experience cost effectively.
Marketing automation and predictiveanalytics are among those game-changers. The best part about automation, however, is that it has opened the door to predictiveanalytics in marketing. And by leveraging these insights, these organizations are able to make data-driven decisions that inform their marketing strategies.
AI, machinelearning, IVAs, robotic process automation (RPA), desktop process automation (DPA), knowledge management, and more will be instrumental in helping companies improve the service experience. Another emerging strategy for managing a personalized customer experience is the use of predictiveanalytics.
It's the foundation of data analysis, involving the use of key performance indicators (KPIs) and other metrics. Diagnostic Analytics : Moving a step further, diagnostic analytics seeks to understand why something happened. It involves more in-depth datamining and correlations.
It can also help manufacturers: Assess risks Find trends Predict outcomes Evaluate customer satisfaction Enhance the decision-making process Types of DataAnalytics There are various types of dataanalytics, each serving a different purpose. Below are some of the main types of dataanalytics.
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