Call Center Data Monitoring & Alerts
Get their data right in real time .
Harpin AI has the integrated solution to your customer service issues, data quality and call center chaos: Call Center Data Monitoring & Alerts. When your customer entity data systems lack cohesion, these real-time data alerts will enable your organization to transition out of your fragmented view and lagging cross-channel communication to create a validated and verified, prioritized guest information platform. Accurate, comprehensive data monitoring empowers your call center agents to delight guests and achieve world-class status in customer service.
Key features that will transform your customer data quality and customer service.
- Realtime, unmissable data quality alerts: Harpin AI continuously monitors and rigorously evaluates your consumer profile data for the accuracy of all details like names, email addresses, phone numbers, and more. The harpin AI Identity Data Quality Alert fields can be easily integrated into existing pages to prominently display PII quality issues, ensuring no corrections are missed out during customer interactions.
- Enhanced, easy routing and reporting: Harpin AI’s data quality fields are pre-configured to support Contact reports, filtering, and workflow triggers. This allows you to direct all data quality issues to the appropriate teams based on your specific business needs. By efficiently identifying, measuring, and rectifying data quality issues, your teams can drive better decision-making and improve customer interactions.
- Lightning-ready, customizable components: Harpin AI’s Identity Data Quality Alerts are provided as Salesforce Lightning components, available out of the box for you to drop into any Lightning page or embed into your custom Lightning app. Harness the standard components or customize the alert views to best suit your team’s unique workflows and layouts.
How harpin AI delivers ROI
- Cost savings: Automating data quality management reduces operational costs, resource usage, and external data fees.
- Alleviated call volume and duration: Real-time data correction minimizes follow-up calls and shortens interaction times.
- Enhanced customer satisfaction: Accurate customer entity data helps deliver more personalized and efficient service, boosting long-term customer trust and satisfaction.
- Improved data quality management: Proactive monitoring prevents downstream issues, protecting revenue and enhancing data accuracy.
Bad data costs businesses $15 million annually, and 60% don’t measure its financial impact.
– Gartner’s Data Quality Market Survey