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Dipti Moryani
Dipti Moryani

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Improving Customer Service with Automated Call Center Data Insights

Improving Customer Service with Automated Call Center Data Insights
A leading property management company wanted to improve customer service by reducing wait times, optimizing agent schedules, and improving staffing during peak hours. Their existing process for handling call center data from Five9 was manual, time-consuming, and error-prone, limiting management’s ability to make timely, data-driven decisions.

The Challenge

Call center operations generate large amounts of data every day, but without an efficient way to collect, integrate, and analyze it, valuable insights can be lost. For this company, delays in reporting and inconsistencies in data accuracy meant missed opportunities to improve customer experiences and streamline operations.

Our Solution

We designed and implemented a custom data integration solution that automated the extraction of call center data from Five9 into the company’s data warehouse. This automation ensured:

Reliable and consistent insights for management decision-making
Faster data refreshes for near real-time visibility
Elimination of manual errors through automation
By centralizing and streamlining the data pipeline, leadership gained a trusted source of truth for call center performance metrics.

The Results

With accurate and timely data, the company:

Reduced customer wait times

Optimized agent scheduling for peak hours
Improved resource allocation to match call volumes
Enabled scalable operations for future growth
This automation not only enhanced operational efficiency but also strengthened the company’s ability to deliver exceptional customer service.

Download the case study to learn more: Turn Call-Center Data into Insights for Better Customer Service – Case Study Turn Call-Center Data into Insights for Better Customer Service – PDF

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