product analytics 
Data Engineering Podcast
MARCH 10, 2023
Summary With the rise of the web and digital business came the need to understand how customers are interacting with the products and services that are being sold. Product analytics has grown into its own category and brought with it several services with generational differences in how they approach the problem.
ThoughtSpot
JANUARY 31, 2024
We knew then that this would be the beginning of a new era of analytics, for ThoughtSpot and the broader industry, but none of us could have predicted the rapid evolution of analytics and BI in the months that followed. Since GPT’s release, LLMs have made it easier to translate natural language into SQL and other forms of code.
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Data Engineering Podcast
JANUARY 22, 2023
Summary The most interesting and challenging bugs always happen in production, but recreating them is a constant challenge due to differences in the data that you are working with. Building your own scripts to replicate data from production is time consuming and error-prone. Can you describe what Tonic is and the story behind it?
Snowflake
FEBRUARY 7, 2023
Event data for tracking a user’s journey has always been important to product analytics—but we’re now seeing changes in how businesses work with and manage their data, including event data. Next-gen product analytics is now warehouse-native, an architectural approach that allows for the separation of code and data.
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Just by embedding analytics, application owners can charge 24% more for their product. This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics. How much value could you add?
KDnuggets
JUNE 21, 2022
Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.
Data Engineering Podcast
MARCH 18, 2023
Summary As with all aspects of technology, security is a critical element of data applications, and the different controls can be at cross purposes with productivity. What are some of the ways that data security and organizational productivity are at odds with each other? Data security is a very broad term.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Embedded analytics offers a strategic solution to this challenge. Here’s how.
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Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.
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Embedding analytics in software presents some unique opportunities—and poses unique challenges—to software teams. What are best practices when designing the UI and UX of embedded dashboards, reports, and analytics? What should software teams know about implementing security that works with the rest of their products?
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Just by embedding analytics, app owners can charge 24% more for their product. This framework from Software Pricing Partners explains how application enhancements can extend your product offerings. How much value could you add?
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The world’s favorite applications use predictive analytics to guide users—even when they don’t realize it. No wonder predictive analytics is now the #1 feature on product roadmaps. By embedding predictive analytics, you can future-proof your application and give users sophisticated insights.
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But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.
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But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.
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Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.
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