Implementing Real-Time analytics: Leveraging Dataplatr ‘s contact center analytics for Customer Service
Real time analytics are crucial for call centres to remain competitive which can help them to provide better services for the customers. Real time analytics can help call centers to gain insights into customer interactions as they happen, monitor agents’ performance in real time to ensure quality, efficacy of call routing, optimize resources and thereby improve operational efficiency.
Live Data Processing
Dataplatr with its expertise in contact centre analytics helps businesses to streamline data from various sources like calls, chats, emails etc., into a centralised repository where the data is standardized and made available for further processing. The standardized data is then processed and analyzed in real-time to get business insights, which can then be utilized to keep a check on critical events that are critical for ensuring smooth operation of call centers.
Live Performance Monitoring
The most important aspect of real time call center analytics lies in its ability to monitor and track the agents and contact centers’ live performance. Dataplatr’s ability to integrate with organisations existing systems like CRM, ERP, and work force management helps us to extract data from the systems and with our call centre metrics analytics and reporting skills we transform the data into providing actionable insights for our clients.
Dynamic Intelligence
Dataplatrs proficiency in customising call center analytics dashboard as required by our clients, enables call centers to be proactive by helping them visualize the key performance metrics (KPI’s) and setup customized alerts for key events to identify and address the issues in real time. Also, our predictive modeling capability utilizes the automated pattern identification to set up instant alerts when the model recognizes anomalies which can be acted upon immediately to resolve the issues.
By partnering with Dataplatr call centres can leverage our expertise in real time data analytics to get intuitive insights of data which can help them to stay competitive and optimize the customer service operations.
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