Contact center analytics, meet customer experience analytics
At the heart of the Customer Engagement Analytics framework, Nexidia Analytics uses big data to help call center focused organizations transform into cost effective and efficient producers of revenue while also enabling agents, managers, and customers to have better experiences and improved retention rates. Nexidia's inherently agnostic solution provides minimal disruption by overlaying existing recorders and data gathering methods, and serves to enhance the communication of information to downstream data lakes or management programs. Some of the most common outcomes that our enterprise customers are achieving today are:
- Reduced cost to serve
- Increased Sales Effectiveness
- Increased Customer Loyalty with Churn Prediction
- Improved Agent Behavioral and Regulatory Compliance
- Improved Customer Satisfaction
Customer Conversations Drive Organizational Change
Structured data analytics such as CRMs or surveys provide clues to what customers are saying, but the unstructured behavioral data that speech and text analytics uncovers allows you to understand exactly what customers are saying, what they are asking for, and their pain points. In turn, analytics can be applied to agent interactions to drive
quality management programs and operational excellence.
Being able to understand customer and agent needs on a quantitative and qualitative level makes it possible to implement prescriptive and predictive change management programs and measure positive change across the organization.
While interactions may originate in the contact center, the business insight they contain resonates throughout the entire organization. Marketing, product, customer care, and even technical support can all benefit from being able to find and quantify customer behavioral events. By knowing when, how often, and why events such as competitive mentions, negative sentiment, unresolved issues, or accepted or rejected marketing offers take place, companies can drive positive change.
Speech and Text Analytics Technology for Analyzing 100% of Your Interactions
With the vast number of data sources available today, Nexidia’s Data Exchange Framework ingests data from any source and makes it searchable, allowing for speech and text channels to be searched alongside one another or separately for priority topics.
Neural Phonetic Speech Analytics™, the power behind Nexidia Analytics, smartly combines phonetic indexing and search with Automatic Speech Recognition (ASR) in a way that offers the most scalable, accurate, and flexible solution available. This unsurpassed scalability is possible via Nexidia Search Grid™, a MapReduce framework for building distributed interaction analytics applications that allows for volume or retention expansion while still maintaining only one logical instance of the system. With such a robust and time-tested technology and architecture underpinning Nexidia contact center analytics, the possibilities for organization-wide improvements are endless.
AI Customer Service with Prescriptive and Predictive Analytics
Use Nexidia’s AI powered automatic topic categorization and sentiment scoring to quickly understand trends in customer conversations, and drill down into those trends to uncover areas important to your objectives. Build queries to deep dive into issues that can help meet business goals, and create powerful reports for every level of the organization so that each role is focused on meeting those goals.
Customer Journey Analytics, IVR Optimization, Intelligent Routing, and Quality Central – All Powered by Nexidia Analytics
NICE Nexidia offers the most comprehensive approach to customer analytics, with the ability to provide micro level intelligent routing and insights on masses of individual interactions alongside the macro level understanding of the customer’s entire journey. When planning your analytics program roadmap, consider all of the
Customer Engagement Analytics options to make the best decisions for managing your success.