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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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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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DIY Data Visualizations: Provide Unique Insights of Your Data with Reveal BI 

Reveal

Reveal Embedded Analytics We live in an era where data shapes decisions across industries. While data visualizations have become essential, not all standard visualizations cater to specialized reporting needs. Dive in to discover its unmatched benefits and how you can craft unique reports effortlessly.

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How to Leverage AI in SaaS? (+Best Tools)

Userpilot

From marketing to product management and customer success, AI is improving productivity, helping teams make better decisions, and improving customer experience. How to implement AI to build better products. What AI tools you can use. There are also governance and ethical concerns, like data privacy or AI bias.

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How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra

Transition seamlessly to Instaclustr Managed Cassandra with our expert insights, ensuring zero downtime during migration. Unlock the power of open-source data management for long-term success

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How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Often I start my analytics conference keynote addresses by asking the audience to share the issues they face in their organizations. In fact, this issue is so pervasive in organizations that 80 to 90% of the analysts in the audience report this problem.

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How to Track User Sentiment in SaaS: Steps and Tools

Userpilot

In this article, we’ll explain what user sentiment analysis is, why it’s important, and uncover some of the best tools for tracking and analyzing customer sentiment. TL;DR User sentiment is the feeling a person has about your brand, product, or service quality. Gather user sentiment data from multiple sources.

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UX and Design Tips for Better Dashboards: Product Manager Laura Klein Explains How to Improve Your Analytics

Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups

That's why Laura Klein, product manager and UX designer, has a set of tips to help application teams improve their embedded dashboards and reports. You'll learn: How to develop products that boost your business's bottom line while dramatically improving customer experience. And yet we have so many of them in our lives.

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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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5 Key Considerations for Top-Notch Product Dashboards

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

So you want to set your product apart with the latest analytics, but you’re not sure where to start. How do you know what your customers want? And how can you make sure that you’re solving their problems? You’ll leave with a better understanding of where to begin on creating actionable, insightful dashboards.

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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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Add Value with a Dashboard Refresh: What You Need to Know

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Dashboards and analytics can really set your application apart, but that doesn't mean you can implement them and forget about them. Join Miles Robinson, former UX and Design Manager, as he explains the different ways to refresh your dashboards - and how to determine what's the best path to product dashboard success.

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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. August 7, 2018 11:00 AM PDT, 2:00 PM EST, 6:00 PM GMT

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Project Analytics: Visibility that Aids Risk Management

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Product Managers face changes that put delivery at risk. Just as you use data from the customer to inform your solutions, transparency during the building of those solutions is critical for making better risk mitigation decisions. Using historic data to more effectively schedule product commitments in the future.

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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.