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Data-driven decision making in Healthcare: Insights from Dan Shirely (Product Manager, Analytics, Baxter)

Mind the Product

We spoke with Daniel Shirley, Product Manager, Analytics at Baxter International, to understand how product teams can prioritise roadmaps through visibility into feature adoption. At work, they call me “DataDan” since I lead Product Management for a segment of the Analytics products at Baxter Healthcare.

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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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SaaS Customer Onboarding Dashboard: Definition & Examples

Userpilot

In SaaS, a customer onboarding dashboard can become a massive product analytics tool to understand and optimize the user journey. But what type of dashboards can you use to analyze your onboarding process? Let’s explore how a customer onboarding dashboard works and see different examples.

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Data-driven decision making in Healthcare: Insights from Dan Shirley (Product Manager, Analytics, Baxter)

Mind the Product

We spoke with Daniel Shirley, Product Manager, Analytics at Baxter International, to understand how product teams can prioritise roadmaps through visibility into feature adoption. At work, they call me “DataDan” since I lead Product Management for a segment of the Analytics products at Baxter Healthcare.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.

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11 Customer Analytics Benefits [+Tools]

Userpilot

Wondering how to leverage customer analytics benefits to drive customer satisfaction? Customer analytics helps you seamlessly understand customers, predict their needs, and curate your offerings to their wants. TL;DR Customer analytics involves gathering and interpreting customer data for actionable insights.

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WalkMe Analytics In-Depth Review: Is There a Better Alternative?

Userpilot

What analytics features does WalkMe support? You will also discover three alternatives to WalkMe and learn about their analytics capabilities. The WalkMe Insights platform forms the core of WalkMe analytics. The specific analytics features available differ between the customer and employee onboarding solutions.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role.

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How King Crushes New Product Development using Data-Driven Insights

Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker

Product Managers looking to leverage data to make informed product design decisions can learn a lot from renowned gaming company King, maker of Candy Crush and many other games - even if their product has seemingly no overlap with games. Don't miss King’s data expert (dare we say king?)

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UX and Design Tips for Better Dashboards: Product Manager Laura Klein Explains How to Improve Your Analytics

Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups

No one makes poorly designed products on purpose. That's why Laura Klein, product manager and UX designer, has a set of tips to help application teams improve their embedded dashboards and reports. How to avoid common mistakes people make when presenting data. And yet we have so many of them in our lives.

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Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

Who builds products for the product people? As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?

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How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage. Balanced competing priorities and managed expectations.

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management.

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Harness Your Product Data: Better Understanding User Behavior Across Channels and Devices

Speaker: Kate Owens and Megan Bubley, SpotHero, Diana Smith, Segment, and Erin Franz, Looker

As a product leader, you are tasked with collecting and synthesizing your customer’s interactions with your product.The great news is that there are many tools used across your company which collect unique parts of your user’s journey. As your sources of data increase, so do the complexities of unifying the data in a meaningful way.