Remove 2018 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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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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Gaming Analytics: How to Leverage Your Customer Data for Sustained Business Growth

Indicative

Gaming data is one of the most valuable sources of information out there. . gamers’ weekly leisure time going to playing games as of 2018 — companies are sitting on treasure troves of insight. You need an analytics solution and data strategy that can help make that information useful. . What Is Gaming Analytics?

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A Decade of Product Management

Melissa Perri

I've been reflecting on the last decade in Product Management. Not every company has seen all these changes, but by and large I think it's been a positive push forward and I'm proud of where we've come from and where we have gotten to. -- 2014: "I do not need Product Managers, I can run my company myself,I have the strategy."

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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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Top Data Labeling Tools for Machine Learning Projects

The Product Coalition

Generating labeled training data requires a great deal of time, effort, and investment. If you’re building a machine learning model, chances are you’re going to need data labeling tools to quickly put together datasets and ensure high-quality data production.

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

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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.

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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 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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A Win/Win for Your Product - Embedding Analytics for Product Success

Speaker: Stewart Rogers, VP Products, Lambda Solutions

Your product is drowning in data. Your innovative, early adopter type Customers want not only access to it all, but the reporting and analytics capabilities to analyze it all. The rest of your Customers crave better reporting. What about your data?!?! How can use your Customers’ data to uncover patterns?