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Top 12 Dashboard Reporting Tools For SaaS in 2024

Userpilot

As you’re researching dashboard reporting tools, you’ve probably noticed how hard it is to find reliable information on the available solutions. TL;DR Dashboards display critical business data in real-time, streamlining decision-making and focusing on key metrics. Let’s dive in!

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SaaS Reporting Guide: Tools & Metrics

Userpilot

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. TL;DR SaaS reporting helps to track key metrics and inform the right decisions backed up with data.

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Cross-Platform Analytics Guide for SaaS Companies

Userpilot

Tracking cross-platform analytics is essential for product teams to see a complete view of customer behavior. TL;DR Cross-platform analytics is the activity of tracking and analyzing user behavior across multiple platforms or devices. What is cross-platform analytics?

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Omnichannel Analytics Guide for SaaS Companies

Userpilot

Omnichannel analytics enable teams to get a 360 view of user behavior at different touchpoints of the customer journey. In particular, it covers: What omnichannel analytics are Why it’s important to track How to implement your omnichannel analytics strategy Omnichannel analytics tools Let’s get right into it!

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Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard. Learn product analytics best practices from Andrew Wynn, Product Manager at Looker.

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How to Become a Customer Insights Manager [+Tools and Resources]

Userpilot

Embarking on a career as a customer insights manager involves a combination of education, skills development, and practical experience. This guide will provide you with a comprehensive overview of the path to becoming a successful customer insights manager. Let’s dive in!

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Reveal VS Looker for Embedded Analytics; Which Solution Is Better for You?

Reveal

Reveal Embedded Analytics. Collecting data is easy, yet interpreting that same data is difficult. This is where tools such as Reveal and Looker come in handy – they convert raw data into easy-to-understand and easy-to-use insights that enable organizations to reshape and modernize the way they do business.

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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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How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting. It seems like PMs and engineers have grown to hate embedded reporting. How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort.

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How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage. Evaluated their options for building a solution themselves or buying something.

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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.