Userpilot
MARCH 17, 2024
Analytics dashboards are visualization tools that give you an overview of key metrics. In this article, we’ll discuss 10 analytics dashboard examples. It will give you a better understanding of the type of metrics to monitor in your dashboard and help you draw product growth insights from them. Book a demo to learn more.
Crafty CTO
JUNE 9, 2024
So before committing to Jupyter Notebook / Jupyter Lab, I did a quick survey of the state of the art in data notebooks—was there an up-and-coming alternative to Jupyter I should be looking at? The majority of their team are data scientists. R is widely used in agricultural data and particularly soil analysis.
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Userpilot
APRIL 21, 2024
In SaaS, a customer onboarding dashboard can become a massive product analytics tool to understand and optimize the user journey. But what type of dashboards can you use to analyze your onboarding process? Let’s explore how a customer onboarding dashboard works and see different examples.
Userpilot
MAY 13, 2024
When it comes to product management, you need to look at different SaaS dashboard examples to see what kind of product analytics you can measure, and how. So what are the most important types of dashboards and which ones are the best for you? Ready to transform your data into actionable insights?
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Dashboard design can mean the difference between users excitedly embracing your product or ignoring it altogether. Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand.
Userpilot
JANUARY 15, 2024
With an abundance of product analytics to track, having a robust SaaS KPI dashboard is essential to monitor the metrics that matter most. This guide will walk you through what it is, why you need one, and how to build your very own dashboard. TL;DR A SaaS dashboard can be used to track important metrics and key performance indicators.
Product Management Lessons from the Trenches
SEPTEMBER 11, 2018
You reach out to all department heads and request to get data for your analysis: Marketing team for data on campaign conversion, customer support for data on call volumes, account team for data on customers feedback, product data for usage, etc. What is a product operations dashboard?
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. How do you differentiate one solution from the next?
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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. Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.
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Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become commonplace. Download the whitepaper to learn about Monetizing Analytics Features, and Why Data Visualizations Will Never Be Enough. Five years ago they may have.
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. No one makes poorly designed products on purpose. And yet we have so many of them in our lives.
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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. Five years ago, they may have. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways.
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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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Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations.
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