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10 Analytics Dashboard Examples to Gain Data Insights for SaaS [+Best Tools]

Userpilot

Are you tracking SaaS metrics without knowing how to make the analytics process easier? Analytics dashboards are visualization tools that give you an overview of key metrics. This makes it much easier to extract insights from your analysis compared to looking at mere numbers. Book a demo to learn more.

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12 Best Customer Insight Tools for SaaS Companies in 2024

Userpilot

If so, you need to invest in the right customer insight tools. These tools are perfect for providing valuable customer insights to make product improvements and optimize your customer experience. Businesses collect customer insights through data monitoring, surveys , interviews, support interactions , and social media.

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Free vs Paid Analytics Platforms: How to Choose One (+ Best Tools in Each Category)

Userpilot

Analytics tools offer a competitive advantage for companies investing in prolonged product growth. However, not all companies can invest precious resources in an analytics tool. In reality, some companies are better served using free vs paid analytics platforms. There are different types of analytics tools.

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SaaS Customer Onboarding Dashboard: Definition & Examples

Userpilot

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.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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End-User Behavior Monitoring: Types, Benefits & Tools

Userpilot

When combined with product analytics , end-user behavior monitoring can help you boost product usage and retention rates. In this blog, we’ll discuss the steps to help you get started and outline a few tools that’ll come in handy. Next, select the right user report you need for monitoring their behavior.

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User Experience Analytics in SaaS: Tools, Data Collection & More

Userpilot

User experience analytics is one of the secret ingredients for boosting SaaS growth. By regularly checking your analytics data, you will proactively spot issues and find ways to resolve them. As you read through, you will learn the different UX data types and how to measure them. What is user experience analytics?

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.

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7+ Graphics Libraries to Enhance Your Embedded Analytics

When your customers come to your app, what do they see: clunky, outdated dashboards or a sleek, modern interface? If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond.

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Embedded Analytics: A Force Multiplier for Business

The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management. How efficient intelligence and analytics will benefit your users.

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The Practical Guide to Using a Semantic Layer for Data & Analytics

Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer. How to enable data teams to model and deliver a semantic layer on data in the cloud.

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Harness Your Product Data: Better Understanding User Behavior Across Channels and Devices

Speaker: Kate Owens and Megan Bubley, SpotHero, Diana Smith, Segment, and Erin Franz, Looker

As a product leader, you are tasked with collecting and synthesizing your customer’s interactions with your product.The great news is that there are many tools used across your company which collect unique parts of your user’s journey. As your sources of data increase, so do the complexities of unifying the data in a meaningful way.