OpenText Contact Center Analytics review

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

OpenText Contact Center Analytics is a web-based platform for enterprise and large-scale contact centers. It analyzes voice calls, chat, email, surveys, social media, CRM notes, and other customer interactions to identify sentiment, emotion, themes, behaviors, trends, and service-quality opportunities. Its multichannel and multilingual positioning suits mature organizations that want a shared view of customer interactions across channels, particularly those considering private-cloud deployment.

The platform’s main strength is the breadth of its analytics layer. Speech analytics covers voice calls, sentiment, emotion, and emerging themes, while text and social analytics extend coverage to written and social content. Dashboards, clustering, anomaly detection, topic mapping, and trend visualization support investigation and pattern discovery. Automatic interaction behavioral scoring adds a structured view of conversations, and generative-AI conversation summaries can reduce the effort involved in reviewing interactions. Quality-assurance and training assistance further connect analytics to service improvement workflows.

OpenText directs prospects to contact sales rather than publishing standard product pricing, so evaluation will involve a vendor conversation. The private-cloud option is relevant for organizations with specific deployment requirements. Buyers should also assess how the product fits their integration environment and whether its monitoring capabilities match their operating model. OpenText Contact Center Analytics is a strong fit for enterprises seeking broad voice and multichannel intelligence with private-cloud flexibility. Teams that need clearly documented integrations, real-time monitoring, or self-service pricing should compare alternatives before choosing it.

OpenText Contact Center Analytics pros and cons

• Where it wins
  • Analyzes voice, text, social, chat, email, surveys, and CRM notes
  • Combines sentiment, behavioral scoring, anomaly detection, and trend analysis
  • Adds conversation summaries and quality-assurance assistance
• Where it doesn't
  • Pricing requires a contact-sales conversation
  • The listed platform is web-based
  • Teams prioritizing integrations or real-time monitoring may need alternatives

OpenText Contact Center Analytics fact sheet, pricing and score →

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Last updated 7 Oct 2026 · How we research and update