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Healthcare

Machine Learning applications with Dataiku: Emergency Caller Prediction for More Accurate Contact Center Staff Resourcing

Machine Learning applications with Dataiku: Emergency Caller Prediction for More Accurate Contact Center Staff Resourcing

Optimizing the customer experience with better resource allocation is often a critical objective for businesses or governmental agencies. The following case study concerns the Emergency Services Contact Center of a large European metropolitan city. Their objective was to accurately predict the volume of inbound calls to be able to improve agent rostering and ensure optimal response times for callers in serious need of assistance.

Innovation Success Story: Automation of quality control processes at Almirall

Innovation Success Story: Automation of quality control processes at Almirall

This case study demonstrates once again the flexible service offered by Clariba and, in particular, our innovation department. Our deployment of cutting-edge technology alongside imaginative and disruptive thinking allows us to provide sophisticated solutions to the most complex business needs, while still maintaining tight delivery timescales and control of budgets.