Remove Analytic Tools Remove Data Visualization Remove Examples
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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.

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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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Guide to Business Analytics in SaaS: Types, Use Cases and Best Tools

Userpilot

In a fast-paced industry like SaaS, leveraging business analytics effectively can be the key to staying competitive and driving product growth. Business analytics offers invaluable insights that help SaaS companies optimize operations, enhance customer experiences, and make data-driven decisions.

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MarTech Stack Examples and Tools For SaaS Companies

Userpilot

Are you in need of some MarTech stack examples to inspire your own? Thanks to the abundance of tools out there, marketing has never been easier. In this article, we examine some tools that can help your SaaS team to drive product growth. We will also consider valuable examples of tools that can inspire your process.

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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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Tools of the Trade: Visualizing Discovery with Opportunity Solution Trees

Product Talk

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.

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11 Best Customer Success Tools in 2024 (for Startups to Enterprises)

Userpilot

Let’s review everything your customer success team has to do in the absence of any customer success tools. Collect customer data to calculate complex formulas for tracking metrics, monitor customer health scores, and resolve support tickets while continuously trying to improve retention and expansion.

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How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. In this webinar, you will learn about: Launching data literacy programs and building business cases.

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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 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.