Problem

Our client, an organization with a large customer support team, was struggling to improve their overall customer experience. They had a lot of data on inbound customer support interactions but were not sure how to analyze it effectively.

We needed to find a way to analyze this data and provide actionable insights that the management team could use to make improvements.

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Solution

We decided to use a combination of data analytics tools and techniques to analyze the inbound customer support data. We started by cleaning and organizing the data into a format that we could work with.

Next, we used various statistical analysis methods and machine learning algorithms to identify patterns and trends in the data. We then created visualizations and reports that summarized our findings in an easy-to-understand format for the management team.

Impact

Improved overall customer satisfaction by X%
Reduced average handling time for support requests by X%

"Quote of how incredible of an impact this had."

Team

Team Member #1 - Data Analyst
- Cleaned and organized the inbound customer support data
- Analyzed the data using statistical analysis methods and machine learning algorithms
Team Member #2 - Data Visualization Specialist
- Created visualizations and reports that summarized our findings
- Presented the findings to the management team in an easy-to-understand format

Improving Customer Support with Data Analysis