Data Visualization Related Topics 
Product Talk
SEPTEMBER 20, 2023
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.
Productside
DECEMBER 4, 2024
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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Product Talk
DECEMBER 13, 2023
A Brief Introduction to Thomas’s Work: What Is Intelligence Analytics and the Dark Web? Thomas Groendal is the Senior Product Manager at Bluestone Analytics , a subsidiary of CACI , a $6 billion company that focuses on intelligence analysis. Bluestone Analytics in particular has two main products, DarkBlue and DarkPursuit.
Product Talk
DECEMBER 6, 2023
Can you create opportunities from sales conversations, support tickets, feature requests, or behavioral analytics? Tools & Templates What tool should you use to create an opportunity solution tree? Opportunity solution trees are a simple way of visually representing the paths you might take to reach a desired outcome.
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Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Alchemer Mobile
NOVEMBER 10, 2022
I’m going to take a wild guess and assume that you already understand the importance of mobile in-app feedback tools. You also might be reading this post thinking: “Who’s adding new tools to their tech stack right now?” Do you have the right tools to capture that voice? Mobile in-app feedback tools & solutions.
Mind the Product
JUNE 3, 2024
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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Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
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Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become commonplace. Turning embedded analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Proven approaches to achieving analytics maturity.
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Our free assessment tool reveals where your team excels and uncovers opportunities for growth across six key dimensions: Context, Investigate, Define, Create, Deliver, and Leadership. Step 2: Get Immediate Insights Receive a detailed report of insights and strategies to enhance team performance.
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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.
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Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.
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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.
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With its unparalleled flexibility, rapid development and cost-saving capabilities, open source is proving time and again that it’s the leader in data management. But as the growth in open source adoption increases, so does the complexity of your data infrastructure.
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There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.
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