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The Call Center Analytics Dashboard on Mokkup.ai offers crucial insights into call center performance, guaranteeing the most effective use of resources and the provision of customer support. Let's discuss the dashboard features:
Summary Dashboard: This dashboard provides a thorough knowledge of incoming client calls. It handles important problems, including how completed, disbanded, and missed calls relate to the prior time frame, as well as developments in metrics like average conversation duration, completed calls, and abandoned calls. Additionally, it examines call analytics by category, the breakdown of sales from service calls, and the cost per contact.
Detailed View Dashboard: This dashboard focuses on certain departments and functions to look further into incoming calls. On average, handling time, wait time, call transfer percentage, held call percentage, and abandoned call percentage are all significant statistics that are broken down by function. It also summarizes call analytics by function and product and assesses the effectiveness of cross-selling programs.
Businesses can effectively distribute customer service executives across functional areas depending on call volume using the data provided by the Call Center Analytics Dashboard. It makes it possible to pinpoint training requirements for executives to improve their functional knowledge, guaranteeing quick and efficient replies to client inquiries. This blog is essential for enhancing performance, providing excellent customer service, and optimizing call center operations.
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I made something similar using data from cloud call center setup that we're using, and I had to create custom measures for things like average handling time and first call resolution. What worked best for me was using slicers for quick filters by agent and team, and a bar chart to show call volume by hour. Also added a card showing active calls pulled in near real-time.
hi
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kindly could you send me pbix file
ahel_zamzami@hotmail.com
Good morning!
Could you share the PBIX file of this market research? I think your work is excellent, congratulations!
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Thank you!
Please share the pbix file with haim.hddd@gmail.com
could you please send me pbix file
nouhadroob@gmail.com