Customer Service Data Analysis

I have a sizeable set of customer data and I want to turn it into clear, actionable insight that will directly improve our customers’ experience when they contact support. Your task is to take this raw information, clean it, explore it and surface the patterns that show where our service interactions delight—or frustrate—people. I am interested solely in customer-related records; sales figures and survey metrics outside that scope are not part of this engagement. The end goal is a concise narrative that tells us how to raise satisfaction levels, cut response times and pinpoint any pain-points hidden in the current workflow. To keep things focused, I will need: • A brief outline of the preprocessing steps so the work is reproducible • Visualisations or dashboards (Python, R, Power BI or similar) highlighting key trends in support tickets, response delays and resolution quality • A written summary that translates those findings into concrete recommendations my support managers can act on right away Accuracy, clarity of explanation and practicality of the recommendations will be the measures of success for this project.