Insight Software
MAY 23, 2024
You’ve heard of throwing ideas at a wall until something sticks–as a product manager, you may find you’re doing the same with application features. Increasing product stickiness is a strategic move for product managers in today’s competitive market. But don’t take our word for it.
Insight Software
APRIL 12, 2024
Boost Your Application’s Decision-Making Value with Embedded Analytics The advanced analytics you need to boost customer intelligence and build competitive advantage can be found in embedded analytics software. No more switching between applications or relying on separate data specialists. Want to learn more?
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Insight Software
MAY 1, 2023
Introduction Why should I read the definitive guide to embedded analytics? 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.
Insight Software
MAY 12, 2023
Both product analytics and embedded analytics fall into this tool category. Let’s look at how embedded analytics differs from product analytics, and why both are useful. For example, let’s say a product manager is using event tracking to monitor user activity on a particular page.
Insight Software
JANUARY 3, 2023
2022 was a big year for embedded analytics at insightsoftware, bringing significant enhancements to our best-of-breed solutions. adding deeper functionality that has strengthened Logi’s self-service data analytics and visualizations. This was bolstered by insightsoftware’s acquisition of Dundas Data Visualization, Inc.,
Insight Software
OCTOBER 21, 2022
Consider the case of a product manager who wants to understand both short-term and long-term buying patterns among various groups of customers. They want to know which products were purchased together, how external events may have impacted sales volatility, and how overall trends have shifted over time. Access Resource.
Sisense
AUGUST 6, 2020
Specifically, use an affinity diagram to prioritize and plan the minimum viable product (MVP). As an AI product manager, here are some important data-related questions you should ask yourself: What is the problem you’re trying to solve? What are the right KPIs and outputs for your product? The perfect fit.
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