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      "text": "The use of Gen AI reduced the survey data analysis time by 75 percent, and reduced manual errors by 5 percent.",
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      "text": "Value delivered: The analysis provided a refined understanding of overall customer sentiment, allowing the bank to identify areas of strength and opportunities for improvement. The AI implementation helped reduce response time for customer feedback from months to weeks through automated AI-driven analysis. It also provided a deeper level of analysis that had not previously been available. The use of Gen AI reduced the survey data analysis time by 75 percent, and reduced manual errors by 5 percent. At a strategic level, the approach contributed to improved product and service offerings. As these improvements were based on customer feedback, they led to higher customer satisfaction levels and loyalty.",
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      "text": "Our approach: The KPMG team leveraged its OpenAI platform to conduct a detailed sentiment analysis of the customer satisfaction survey responses to extract actionable insights. With the help of Python, MS Excel and OpenAI, the KPMG team created and analyzed a large dataset of responses to generate an overview of customer sentiment. A close examination of the emotional content of the feedback allowed the range of customer emotions — from satisfied to disappointed — to be charted in detail. The bank recognized this as a strategic method for developing a deeper understanding of customer perception to allow targeted improvements that enhanced customer satisfaction and loyalty.",
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      "text": "Client challenge: KPMG's client is a European bank specializing in serving small and medium enterprises. It has several brands, subsidiaries and associated banks. The client sought to gain a better understanding of customers' perceptions and experiences to improve their products and services. Their primary challenge was the complexity of extracting actionable insights from the large volume of qualitative data collected through customer satisfaction surveys. The objective was to gain detailed insight into customer sentiment toward the bank's offerings, pinpointing satisfaction levels, areas of discontent and the general sentiment toward the bank.",
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