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

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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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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. To make your life a little bit easier and help you choose the best dashboard analytics tool for your SaaS, we’ve produced a guide of 12 excellent platforms available on the market in 2024.

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

Reveal

Reveal Embedded Analytics. 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. What is Looker? What Is Looker? Table of contents: What is Reveal?

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What Google’s and SalesForce’s respective acquisition of Looker and Tableau Software means for…

Piyanka Jain

What Google’s and Salesforce’s respective acquisition of Looker and Tableau Software means for CIO’s The BI analytics tool space is consolidating to compete against Microsoft’s ensemble of Business Analytics(BA) products which promises to solve for the entire workflow?—?data last week and Salesforce’s $15.3b

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience.

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How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

Eric Feinstein, Professional Services Manager at Looker, has done workshops with product managers who are looking to add effective reporting. He will use the example of a product manager of a learning management software system and how she would go through the process of defining reporting for users of the product.

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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

How to achieve speed of thought query performance and consistent KPIs across any BI/AI tool, such as Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more. How to enable data teams to model and deliver a semantic layer on data in the cloud.