4. Provides text that is AI-powered with complex ontologies
Whenever evolving your consumer experience (CX) strategy, the sound associated with the client should be your source that is single of. And even though quantitative study information is indispensable, it is usually the insights that are qualitative consumer responses that incorporate context to ratings and respond to questions you hadn’t considered to ask.
But unlike the quantitative information you’re collecting through the CX study, findings from unstructured data don’t always squeeze into a neat box that is little. More regularly, they’re spread throughout the wide selection of services and products, solutions, and initiatives you’re wanting to track—which means you will need to guarantee they align with exactly how tracking that is you’re.
That’s where custom entity ontologies are presented in. Entity ontologies really act as brand-specific encyclopedias—ensuring the lingo customers utilize lines up with your personal terminology. With customizable remark groupings, users can:
- Tag + team feedback based on product that is brand-specific
- Separate categories + subcategories of great interest for much much deeper analysis
- Refine regions of focus to help keep customer satisfaction trending upward
But many text analytics technologies either can’t handle the quantity and complexity for the information being processed or they’re therefore convoluted it is hard to understand the place to start. Inside your, brands require robust, intuitive tools fashioned with customers in mind—especially regarding input because complicated while the unstructured information present in consumer reviews. Continue reading “As consumer journeys modification, stay linked at every change.”