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Guide to Self-Serve Analytics For SaaS

Userpilot

If you are a SaaS company, the chances are you’ve come across the term “self-serve analytics” at some point online. Unlike traditional data analysis methods, self-serve analytics equips everyone in your organization to explore data and take the right actions in real time. Choosing a good business intelligence tool.

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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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Product Analytics Tools 101: The Only Type Of Analytics Tools You Really Need As A Product Marketing Manager

Userpilot

Which product analytics tools should you be using? How many analytics tools do you need? And what type of analytics really matters for a product marketing manager? By the end, you'll know the only type of analytics tools you really need as a PMM. What is product analytics?

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What Can You Expect From Today’s Customer Analytics Landscape?

Indicative

Experts predict the Customer Analytics market will top $24 billion by 2025. That’s where Customer Analytics comes in. Focused on democratizing access to data-driven decision making, Customer Analytics tools empower non-technical users (like marketing and product teams) to make sense of all the data. Common features.

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How AI is Lowering the Barrier to Entry for BI and Analytics

Birst BI

According to Gartner, more than 3,000 CIOs ranked Business Intelligence (BI) and Analytics as the top differentiating technology for their organizations. If BI and Analytics is such a game-changer, then why is the average adoption rate in organizations only 32%? But the industry is undergoing a fundamental transformation.

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What AI Means to a Data Scientist

Birst BI

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

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Part II: Creating Governance Around Your In-Product User Guide Experiences

Gainsight

In this part two of our three P’s series on creating governance around your in-product user guide experiences, we lay out the processes you need to drive unbeatable in-product engagements. You can use the sign-up process or analytics to figure out what your users’ interests are on a more personal basis. Straightforward Communication.