PMs are the CEOs of their product. This challenging role requires people management, expectation management, and delivering business results. In a SaaS environment, the challenge is compounded as results are measured daily, monthly and quarterly.

However, new vendors have emerged to assist Product Managers in delivering cutting edge experiences to their end-users which align to important KPIs. Learn the five ways infused analytics can help PMs exceed their key performance indicators.

This is a book about a very important, yet often misunderstood topic in the OEM software world, the topic of self-service data, analytics and automation.

Self service is no longer something software providers can ignore or approach in a haphazard fashion. Empowering users with the ability to collect, analyze and automate their data, and yours, can fundamentally change how a software product functions. Ensuring the right people always have access to the right information at the right times can be game-changing. Frankly, if your product doesn’t have self-service capabilities, you risk losing your users to platforms and products that do.

Choosing the right tools and services to embed into your product is always challenging. There are always many factors to consider, and the decisions you make today can affect the direction your product takes for years to come. That challenge has always been especially hard when adding analytics to your product. Many traditional analytic solutions simply weren’t designed for embedding while many others didn’t offer a business model to support them. And if your software is on or migrating to the cloud, as most companies are, finding cloud services that integrate with Amazon Web Services (AWS) also adds to the complexity.

In this book, we’ll outline both the promise and problems with today’s analytic tools and introduce you to a new, modern approach to business analytics in the cloud that can deliver the solutions your product needs and a business model specifically tailored for OEM software vendors.

Developers love Qrvey because Qrvey is built for the way you build software. Qrvey boosts developer productivity with low-code javascript widgets combined with a powerful suite of APIs that let you build custom analytics features directly into your SaaS application with full customization and white-labeling. You can easily integrate and embed data collection, transformation, analysis, visualizations, automation and AI/ML functionality. Best of all, Qrvey is the only cloud-native embedded platform that is 100% SDLC compliant.

PMs are the CEOs of their product. This challenging role requires people management, expectation management, and delivering business results. In a SaaS environment, the challenge is compounded as results are measured daily, monthly and quarterly.

However, new vendors have emerged to assist Product Managers in delivering cutting edge experiences to their end-users which align to important KPIs. Learn the five ways infused analytics can help PMs exceed their key performance indicators.

This is a book about a very important, yet often misunderstood topic in the OEM software world, the topic of self-service data, analytics and automation.

Self service is no longer something software providers can ignore or approach in a haphazard fashion. Empowering users with the ability to collect, analyze and automate their data, and yours, can fundamentally change how a software product functions. Ensuring the right people always have access to the right information at the right times can be game-changing. Frankly, if your product doesn’t have self-service capabilities, you risk losing your users to platforms and products that do.

Choosing the right tools and services to embed into your product is always challenging. There are always many factors to consider, and the decisions you make today can affect the direction your product takes for years to come. That challenge has always been especially hard when adding analytics to your product. Many traditional analytic solutions simply weren’t designed for embedding while many others didn’t offer a business model to support them. And if your software is on or migrating to the cloud, as most companies are, finding cloud services that integrate with Amazon Web Services (AWS) also adds to the complexity.

In this book, we’ll outline both the promise and problems with today’s analytic tools and introduce you to a new, modern approach to business analytics in the cloud that can deliver the solutions your product needs and a business model specifically tailored for OEM software vendors.

Developers love Qrvey because Qrvey is built for the way you build software. Qrvey boosts developer productivity with low-code javascript widgets combined with a powerful suite of APIs that let you build custom analytics features directly into your SaaS application with full customization and white-labeling. You can easily integrate and embed data collection, transformation, analysis, visualizations, automation and AI/ML functionality. Best of all, Qrvey is the only cloud-native embedded platform that is 100% SDLC compliant.