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Data analytics

Data analytics software enables organizations to derive actionable insights from customer interactions across all channels.

Data analytics solutions help businesses transform raw interaction data into strategic intelligence. These tools analyze voice, text, and digital interactions to identify trends, improve agent performance, and enhance customer experience. By uncovering hidden patterns and insights, data analytics empowers organizations to make data-driven decisions and optimize contact center operations.

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311Verified suppliers
Built for
VP of Customer Experience Director of Contact Center Operations Quality Assurance Manager CIO Compliance Officer

The challenge

Your organization is likely sitting on a goldmine of untapped customer data. Millions of interactions occur daily across voice, chat, email, and social media, yet much of this data remains unanalyzed, a "dark data" reservoir. Without data analytics, you are forced to rely on anecdotal evidence and incomplete reporting, missing critical insights into customer behavior, emerging trends, and compliance risks. This operational blindness leads to increased churn, missed revenue opportunities, and potential regulatory violations, hindering your ability to deliver exceptional customer experiences.

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56% of customers churn without complaining about bad experiences
1-3% of interactions are traditionally monitored by QA
$3T globally at risk due to poor CX in 2025

The solution

Data analytics addresses your unique challenges through modern solutions and key capabilities.

Omnichannel ingestion

Ingest and analyze data from voice, email, chat, SMS, and social media to create a unified view of the customer journey.

High-fidelity transcription (ASR)

Convert audio into accurate text transcripts, even with industry-specific vocabulary and background noise.

Automated redaction (PCI/PII)

Automatically detect and redact sensitive data from transcripts and audio files to ensure compliance.

Keyword & phrase spotting

Flag specific terms or phrases to trigger immediate alerts for compliance issues or customer concerns.

Sentiment analysis

Categorize interactions as positive, neutral, or negative to understand customer and agent emotions.

Real-time agent guidance

Provide agents with real-time prompts and information based on the conversation, improving performance and compliance.

See how data analytics suppliers stack up

Our Palomarr Insights chart shows the full landscape of data analytics solutions.

  • See how companies stack up against each other
  • Get a detailed breakdown of each supplier
  • Compare 311 suppliers
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Capabilities Innovation

How to evaluate data analytics

1

Deployment & integration architecture

Distinguish between true cloud-native solutions and legacy software simply hosted in the cloud. Cloud-native solutions offer greater scalability and access to modern AI features.

2

Total cost of ownership (TCO)

Consider storage fees, tuning services, and potential overage charges to accurately assess the total cost of the solution.

3

Security & compliance

Verify third-party certification of redaction capabilities. Ensure the vendor supports Bring Your Own Key (BYOK) encryption and data sovereignty.

4

Vendor stability

Evaluate the vendor's R&D investment, particularly in Generative AI, to ensure they are keeping pace with market innovation.

Questions to ask suppliers

Use these questions during supplier evaluations to ensure you're choosing the right partner for your needs.

Data analytics RFP guide
  • Can you demonstrate unsupervised topic discovery using our sample data in a live environment?
  • What is your specific roadmap for compliance with the EU AI Act's prohibition on workplace emotion recognition?
  • Do you charge for transcription by the minute, by the named user, or by the concurrent port, and is there a 'fair use' cap on unlimited plans?
  • How do you handle 'tuning' of the language model-is this a self-service tool for us, or a managed service provided by you?