Remove 2018 Remove Analytic Tools Remove Data Visualization Remove Management
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Predictive Analytics in Healthcare

Reveal

Reveal Embedded Analytics. The abundance of data available at an organization’s fingertips transforms the entire industry. Real-time, accurate insights that can impact patients are extremely important. Real-time, accurate insights that can impact patients are extremely important. And this is where analytics comes to help.

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The Future of Digital Health: Realities vs Opportunities

The Product Coalition

Growing market investments indicate that digital health solutions are becoming more sophisticated and widely accepted. In today’s healthcare, digital technology is becoming increasingly vital. The multifaceted service platform is the solution to the industry’s key challenges.

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What Is Software Usage Analytics?

Revulytics

Depending on what you do (product management, software development, etc.), you may call it software usage analytics, runtime intelligence, software business intelligence, or software intelligence (if I missed your favorite please add it in the comments).

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What Do Industry Analysts Think About Software Analytics?

Revulytics

It is no surprise that we talk a lot about software usage analytics , but I thought it would be interesting to take a look and see what industry analysts are saying, too. What is driving this interest in product usage and data analytics? What is driving this interest in product usage and data analytics?

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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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Mobile Customer Response Rates Grew by 20% Last Year: New Data from our 2018 Benchmark Report

Alchemer Mobile

Customer centricity and customer experience management are the hot topics of this year’s business conversations. They need to be able to understand the analytics behind customer interaction and response rates so they can make data-driven decisions. As such, it’s not enough for companies to send communication into a vacuum.

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Tools to Collect More Mobile Customer Feedback

Alchemer Mobile

Picture this: Your customer is about to hit “checkout” when the whole app crashes. Annoyed, they close the app and don’t touch it again for a while or maybe even uninstall it entirely. This is where in-app mobile customer feedback comes in handy. Here are some key ways to collect more mobile customer feedback within your app.

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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. The key is the strategy and tools for accessing product data at the level that you'd like.

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5 Key Considerations for Top-Notch Product Dashboards

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

So you want to set your product apart with the latest analytics, but you’re not sure where to start. Join Miles Robinson, Agile and Management Consultant, as he covers five key considerations for you to keep in mind when you’re updating your software or app to offer the latest in embedded dashboards.

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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. August 7, 2018 11:00 AM PDT, 2:00 PM EST, 6:00 PM GMT

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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

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. October 25, 2018 12:30 PM PST, 3:30 PM EST, 8:30 PM GMT No one makes poorly designed products on purpose.

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How To Build Data-Informed Products

Speaker: Tim Herbig, Director, iridion

As a product manager, you probably know specific ways to gather data to inform your product decisions, like the ever-popular A/B test. Tim Herbig will share his hands-on approach to working with analytics in agile product management. Tim will discuss the line between being data-informed versus data-driven.

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The Complete Predictive Analytics Lifecycle for Application Teams

Speaker: Sriram Parthasarathy, Senior Director of Predictive Analytics, Logi Analytics

Applications with predictive analytics are able to deliver massive value to end users. But what steps should product managers take to add predictive analytics to their applications? In this webinar, we’ll walk through an end-to-end lifecycle of embedding predictive analytics inside an application.

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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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Project Analytics: Visibility that Aids Risk Management

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Product Managers face changes that put delivery at risk. Just as you use data from the customer to inform your solutions, transparency during the building of those solutions is critical for making better risk mitigation decisions. Using historic data to more effectively schedule product commitments in the future.