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14 Best Customer Analytics Platforms in 2024

Userpilot

Userpilot’s funnel analysis tool projects data points into funnel reports that show where customer drop-offs regularly occur. Take advantage of this AI-powered analytics tool to create data visualization reports for you code-free. You can take the information from a certain segment and create a customer analysis report.

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Konduit AI: Exploring the Potential for AI in SE Asia

The Product Coalition

Adam Gibson, Cofounder of Deeplearning4j and Skymind Though he currently heads up AI as part of Konduit, Gibson is most well known for creating the Eclipse Deeplearning4j (DL4J) framework in 2013. DL4J is the first commercial-grade, open-source, distributed deep learning library written for Java and Scala.

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Free vs Paid Analytics Platforms: How to Choose One (+ Best Tools in Each Category)

Userpilot

These tools monitor user journeys and offer other visualization reports to help companies make informed decisions. Web analytics tools report important statistics on a website , such as where visitors came from, how long they stayed, and how they navigated the website. Engagement reports. Analytics dashboards.

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The Importance of Drag and Drop Analytics

Reveal

Drag and drop analytics are interactive and user-friendly analytics platforms that allow users to analyze complex data sets and build custom dashboards and reports by themselves when they need them. . Let’s you build custom dashboards and reports in minutes. What Is the Drag and Drop Functionality Exactly?

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FullStory Alternatives: Five Top Analytics Tools to Choose From

The Product Coalition

Their tightly packed visual dashboards organize the data in a way that makes it easy to map out sales funnels, track common paths, uncover behavior patterns, and identify friction points. FullStory is used by enterprises and large organizations but the platform has a few shortcomings: Mobile integrations. Product Analytics.

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How to Monitor IT Infrastructure when adopting IaC for VDI and Digital Workspaces

eG Innovations

Higher-level languages and scripts are used to define the infrastructure that applications run on. These frameworks include networking, servers, data storage, and so on. As demand fluctuates to maintain key metrics such as application response times, frameworks like Kubernetes are leveraged to spin up new infrastructure (e.g.,

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The biggest challenges facing support teams right now (and how to solve them)

Intercom, Inc.

Not only that, but 49% say those interactions are highly complex, and 32% report that there have been more emotional customer support interactions. By implementing messenger-based support and using a strategic framework like the Conversational Support Funnel , you can scale your support without needing to increase budget or add headcount.