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Building High-Impact Teams and Data-Driven Decisions in Product Management with Abner Rosales 

Productside

This week on Productside Stories, host Rina Alexin sits down with Abner Rosales , Senior Director of Product Management Analytics at Experian. Making Smart, Data-Driven Decisions Decision-making can make or break your product, especially when data is involved. Why Listen to This Episode?

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UX Analytics: It’s Not Just About Data Collection and Methods

Userpilot

Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Unfortunately, the research backs this up, with a staggering 90% of users reporting that they stopped using an app due to poor performance. It covers key topics, such as: Defining UX analytics. What is UX analytics?

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Driving Impact Through Influence and Experimentation: Key Insights from TPG Live

The Product Guy

Featuring an engaging discussion with Inis Hormann (Marketing Director Germany, Cepheid) and Steve Kury (Leadership Development Consultant, SHK Leadership Consulting), the session provided actionable insights for PMs at every level. Leverage Data: Use findings to guide decisions, reduce uncertainty, and inform future product iterations.

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Customer satisfaction surveys: Everything you need to know 

Alchemer Mobile

Introduction to customer satisfaction surveys Customer satisfaction surveys are vital tools for understanding what customers think, feel, and experience. Surveys provide a range of insights, from quick feedback after a purchase to in-depth assessments of brand loyalty. Don’t worry, we’ve got you.

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How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting. It seems like PMs and engineers have grown to hate embedded reporting. How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort.

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How to Succeed with AI in 2025

Piyanka Jain

And not because AI itself is broken, but because companies keep treating it like a science project instead of a tool that actually needs to solve problems. Some common AI failurestories: The Data Hoarders : Companies that think collecting more data will somehow lead to an AI breakthrough. Ready to see where data is headednext?

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Is Your Product Analytics Broken? How to Actually Act on the Data You Collect

Userpilot

You can gather all the user feedback or behavioral data you want or even generate tons of Google Analytics reports. Despite all these efforts, you’re probably still not acting on product analytics correctly. Why actionable product analytics are important. This causes siloed data and integration issues.

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How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. In this webinar, you will learn about: Launching data literacy programs and building business cases.

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. How today’s banks can handle the data science talent shortage.

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Outrun Your Competition: Best Practices for Accelerating Sales Processes

By building a modern GTM motion that uses data, automation, and proven best practices to unlock insights, engage customers, and win faster. How can you speed it up?

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Predictive Analytics 101: Your Roadmap to Driving Key Product Decisions

Speaker: Sriram Parthasarathy

Predictive analytics is an increasingly common buzzword with many forms. What does predictive analytics really mean? We’ll explore real-world examples of predictive in action and outline steps to help you maximize its value. September 5, 11:00 AM PST, 2:00 PM EST, 6:00 PM GMT

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The Definitive Guide to Dashboard Design

Dashboard design can mean the difference between users excitedly embracing your product or ignoring it altogether. Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.

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Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

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. Learn product analytics best practices from Andrew Wynn, Product Manager at Looker.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. When you use entity resolution to resolve graph nodes, your downstream analytics become much more effective.