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Structured vs Unstructured Data: Decoding the Differences for Feedback Analysis

Zonka Feedback

But navigating the vast landscape of this feedback can feel like venturing into a data abyss, teeming with diverse formats and hidden insights. Here's where the crucial distinction between structured and unstructured data comes into play.

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6 Reasons Why Unstructured Data Is Key to an Effective Retention Program


While structured customer data can tell you how many customers may cancel, unstructured data can reveal your customers’ wants, needs, concerns, expectations, and reasons for potentially canceling. Here are six ways unstructured data strengthen customer retention strategies: 1. So, delay no more!


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Unstructured Data: Mining the Gold


Unstructured data presents a goldmine of information, but mining that gold is no easy task—it requires coding with detailed text analysis. To be clear, unstructured data includes customer survey text comments, customer service calls, emails, chats, reviews, and other narrative sources of information.

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InMoment Completes Acquisition of Lexalytics, the Leader and Pioneer of Structured and Unstructured Data Analytics

Customer Think

InMoment bolsters set of customer experience management (CXM) solutions with latest acquisition adding robust natural language processing (NLP), and machine learning (ML) to InMoment's XI Platform.

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Leveraging Data Analytics to Optimize the Customer Experience

Speaker: Nathan Hart, Mary Kane & Imran Mohammed

How to navigate and curate disparate, unstructured data across multiple systems. Join us to learn more about: Key Insights: How to measure Customer Experience and engagement across channels. Ways to identify objectives and obstacles, discover actionable insights, and measure outcomes.

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Harnessing the Power of AI in Lending: Leveraging Artificial Intelligence to Revolutionize Loan Originations Servicing and Document Management


The digitization of the financial services sector has generated vast amounts of unstructured data in the form of documents, either PDF or images, and volumes of data that can hold valuable insights for businesses, and help make better decisions. However, extracting meaningful information from this data has been a challenge.

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B2B: When & Where AI for Customer Experience Fits


Unstructured data is invaluable for understanding customers’ feelings and thoughts, but only if your analysis respects the nuances. When customers give feedback through surveys and in day-to-day conversations with your company, that’s unstructured data. Will AI capture the nuances of the customer experience?