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Product Competency Analyzer

West Monroe

Build products that your customers love Leveraging our latest Digital Disconnect research of 700 C-suite executives and 5,000 consumers, we’ll tell you how your product and customer capabilities compare to your industry leaders and how they align to what your consumers want. Are you ahead or behind your peers?

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Product Feedback: Ultimate Guide – How to Gather, Analyze & Share

Thematic

How insights and analytics professionals can turn overwhelming volumes of customer feedback into a continuous product feedback loop. Whether your product is a vacuum cleaner, a mobile app, or a SaaS solution, product feedback should drive decision-making. Product feedback can be solicited or unsolicited.

Feedback 111
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Review Analysis: How to analyze customer & product reviews

Thematic

Product reviews are one of the most comprehensive and useful sources of insider info available, anywhere. There’s nothing wrong with starting with easy fixings, or following your passions when it comes to developing a new product. How do you analyze reviews? Review analysis is important, but how is it done?

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Predictive Analytics Examples that Demonstrate Its Impact on Customer Experience

InMoment XI

Put simply: it involves analyzing current and historical data to make predictions about future events or trends. Machine learning algorithms can analyze large datasets quickly and efficiently, enabling businesses to derive insights in real time. Enhance cross-selling and up-selling opportunities. Accelerate operational improvement.

Analytics 260
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Buyer’s Checklist: How to Evaluate a B2B Contact Data Provider

Leveraging a data provider to help identify and connect with qualified prospects supports company revenue goals by alleviating common headaches associated with prospecting research and empowers sales productivity. So what’s the problem? Many organizations fail to properly evaluate vendors during the selection process.

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Unstructured Data is the Key to Improving the Customer Experience: Here’s Why

InMoment XI

Unlike structured data, which fits neatly into rows and columns, unstructured data lacks a clear format, making it more challenging to analyze using traditional data processing techniques. Analyzing unstructured data requires more advanced techniques than standard data analysis. What Are the Characteristics of Unstructured Data?

Data 260
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How AI Customer Experience Can Advance Your Business Strategy

InMoment XI

It empowers businesses to make informed decisions that drive positive change, all while significantly reducing the time and effort spent on analyzing vast amounts of unstructured data, such as customer feedback. With AI, brands spend less time analyzing text-heavy analytics and more time making smarter decisions to drive change.