Data Visualization Related Topics 
Userpilot
SEPTEMBER 25, 2023
With companies relying entirely on data, it’s common sense to carry out SaaS reporting. The different reports can offer a variety of insights that help manage your product in the right direction. You just need to ensure you can get started correctly and the metrics you should report on to get the critical metrics.
Userpilot
AUGUST 31, 2023
Heap and Google Analytics are popular product analytics tools that help businesses pursue product growth with data-driven insights. In this article, we’ll go through the main differences between both tools to help you understand which one is better for you. respectively. What is Heap?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Userpilot
SEPTEMBER 7, 2023
Customer analytics is the cornerstone for making informed decisions, enhancing the user experience, and, ultimately, fostering growth. It’s crucial to stay updated with the latest trends in customer analytics to better understand customers and make the most out of collected data! Why should you analyze customer data?
Userpilot
SEPTEMBER 11, 2023
Wondering how to leverage customer analytics benefits to drive customer satisfaction? Customer analytics helps you seamlessly understand customers, predict their needs, and curate your offerings to their wants. TL;DR Customer analytics involves gathering and interpreting customer data for actionable insights.
Advertisement
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.
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.
Userpilot
AUGUST 15, 2023
How can SaaS companies use self-service analytics to gain the insights they need to drive product growth ? TL;DR Self-service analytics tools enable non-technical product teams to access and analyze customer data without dev or data scientist support. What is self-service analytics?
Advertisement
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.
Advertisement
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. The pros and cons for each option.
Advertisement
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.
Advertiser: Data Robot
AI has the power to transform countless industries — including the healthcare, banking, insurance, and public service sectors, to name just a few — by introducing new efficiencies and revealing new opportunities for companies to solve problems. Download the report to gain insights including: How to watch for bias in AI.
Advertisement
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.
Speaker: Data Robot
Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. You'll learn more about biggest dos and don’ts from our predictive experiences: How to qualify first projects Which problems to start with When to deploy AI
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. How today’s banks can handle the data science talent shortage. Brought to you by Data Robot.
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. How today’s banks can handle the data science talent shortage. Brought to you by Data Robot.
Expert insights. Personalized for you.
105 
Let's personalize your content