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Insights: Using product analytics to find metrics that predict retention

Mixpanel

Let me jump right in: With product analytics, customer retention isn’t just something you measure after the fact; it should be something you can learn to predict (and then improve). I get it—data and analytics sound technical and scary, something only “really smart analytical people” should touch.

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Dashboard Linking in Embedded Analytics: Definition, Benefits & Use Cases  

Reveal

Reveal Embedded Analytics Embedded analytics platforms have gained popularity as businesses seek to leverage data for decision-making and gain a competitive edge. One of these features you should look for is dashboard linking. What Is Dashboard Linking? However, not all solutions are the same.

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Dashboard Linking in Embedded Analytics: Definition, Benefits & Use Cases  

Reveal

Reveal Embedded Analytics Embedded analytics platforms have gained popularity as businesses seek to leverage data for decision-making and gain a competitive edge. One of these features you should look for is dashboard linking. What Is Dashboard Linking? However, not all solutions are the same.

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AI in Healthcare: A Prescription for Better Diagnosis and Treatment

The Product Coalition

In the dynamic field of healthcare, a transformative shift is taking place, not fueled by medical tools or drug discoveries, but by innovative algorithms and lines of code — signaling a new era in medicine where Artificial Intelligence (AI) is at the forefront. This can reduce the time and cost involved in bringing new drugs to market.

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12 Patient Engagement Metrics Healthcare Providers Must Monitor

Userpilot

By tracking patient engagement metrics, healthcare organizations can improve patient satisfaction, deliver better patient outcomes, and optimize financial performance. You will also learn how to leverage analytics dashboards to track them efficiently for better-informed decision-making. Book the demo to learn more!

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How to Become a Data Scientist [+Tools and Resources]

Userpilot

Embarking on a career as a data scientist involves a combination of education, skills development, and practical experience. This guide will provide you with a comprehensive overview of the path to becoming a successful data scientist. Junior Data Analyst (0-2 years)2. Data Analyst (2-4 years) 3. Let’s dive in!

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Data Analyst Career Path

Userpilot

Starting a career as a data analyst requires understanding the key steps, skills, and experiences needed for success. In this article, we will outline the typical journey for data analysts, covering educational requirements, entry-level positions, potential advancements, and long-term opportunities. Book a demo to see it in action!