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Tools of the Trade: Visualizing Discovery with Opportunity Solution Trees

Product Talk

The opportunity solution tree helps visualize all the work that goes into continuous discovery. And while opportunity solution trees have become increasingly common among product teams, there’s still plenty of room for customization, both in the way you set up your trees and the tools you use to build them.

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2021 Mobile App Engagement Benchmark Report

Alchemer Mobile

Today, we’re thrilled to release our 2021 Mobile App Engagement Benchmark Report. Apptentive’s annual mobile app engagement benchmark report serves as a baseline to help you understand your app’s engagement strengths and areas for improvement. What’s New in the 2021 Report. See the Report.

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The Top Mobile In-App Feedback Tools of 2021

Alchemer Mobile

Do you have the right tools to capture that voice? To help you with this, we compiled a list of the top mobile in-app feedback tools of 2021. Incorporating these tools into your customer experience tech stack will drive more engagement, gather high-quality customer feedback, and help inform your product roadmap.

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Business Services Apps: 2022 Mobile Customer Engagement Benchmarks

Alchemer Mobile

The following data and information on Business Services apps is from our 2022 Mobile App Customer Engagement Report. Brands in Business Services had varied experiences in 2021. Below is a short summary of how Business Services apps fared in 2021. Data included: Ratings and reviews.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.

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Saas analytics tools [Best 20+ SaaS Analytics Tools For 2021 – By Use Case]

Userpilot

Data is the engine for SaaS, but without data analytics tools , your SaaS team will not be able to make sense of the data. The right set of SaaS analytics tools can help you generate actionable insights that fuel strategic decisions. But how do you ensure you’re picking the right tools?

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Personal Services Apps: 2022 Mobile Customer Engagement Benchmarks

Alchemer Mobile

The following data and information on Shopping apps is from our 2022 Mobile App Customer Engagement Report. Subcategories for Personal Services Apps: Home and Family. Rather than comparing by benchmark, below is a short summary of both the Home and Family apps included in our data. Data included: Ratings and reviews.

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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 To Design Your Next Roadmap with Data-Driven Pit Stops Masterclass

Speaker: Sonia Singhal, Product Manager at eBay

These days, a simple A/B test can seem to incorporate the whole alphabet, and making a decision from that data isn't as easy as A, B, C either. How can we shorten the time it takes to do the tests while gaining larger amounts of data? Are we even gaining any new insight into the data we are receiving?

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Optimize serverless and managed data processing pipelines. Interpret and make decisions from a cloud data analytics infrastructure. Take your product a step further in the cloud with ML and AI services. Tuesday January 12, 2021 at 12:30PM PST, 3:30PM EST, 8:30PM GMT And much more!

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Are You Ready For Predictive Analytics?

Speaker: Anita Lauper Wood, Product Strategist

As a product or technology leader, you likely know there’s a tremendous value that can be gained from predictive analytics. Having insights about people, such as understanding purchase intent or pinpointing future inventory needs, gives products the ability to leverage that data and provide significant added value.

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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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The Forrester Wave™: B2B Marketing Data Providers, Q2 2021

In our 24-criterion evaluation of B2B marketing data providers, we identified the 11 most significant vendors — Data Axle, Dun & Bradstreet, Enlyft, Global Database, InsideView, Leadspace, Oracle, SMARTe, Spiceworks Ziff Davis, TechTarget, and ZoomInfo Technologies — and researched, analyzed, and scored them.

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The Beauty and Brains of Actionable Data: How to Go From Concept to Reality

Speaker: Dr. Joe Perez, Senior Systems Analyst at NC Dept. of Health & Human Services, and Chief Technology Officer at SolonTek

Do you have the vision to combine beauty with brains, thereby driving decisions with data? What value do you see in your data? Joe Perez will go over the five "Stages of the Spectrum" in action while discovering the difference between impact and influence, and how that difference plays into making data actionable.

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Post-Pandemic eCommerce Growth: Leverage Product Data, Market Research & Shopping Trends

Speaker: Phil Irvine, VP & Director of Audience Intelligence

To accomplish this, organizations have traditionally leaned into historical customer and product data to predict how to engage with their current and future customers in a personalized manner. When you couple that with fluid data privacy changes, this creates an even fuzzier foundation to develop forward-looking marketing strategies.