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If you haven’t noticed, every SaaS product is becoming an analytics product. SaaS users expect a self-serviceanalytics experience to make data-driven decisions. Which is why leading SaaS companies leverage embedded analytics as.
Here are the factors to consider when adding analytics to a SaaS product, from product management and UI (and UX) to DevOps and revenue generation. Engineering leaders and product managers at high-growth software as a service (SaaS) companies recognize that their customers’ end users need data-driven insights.
Key Takeaways: As a product leader, customer-facing analytics are essential to customer success. But are you getting everything out of those insights that you offer? Are you bringing in revenue from those analytics? The post How to Monetize Data: 2025 Data Monetization Strategies appeared first on Qrvey.
Here’s what you need to know about building a data warehouse for multi-tenant analytics, including the challenges and solutions. Building a data warehouse is a significant undertaking for any organization, but the complexities multiply when it comes to multi-tenancy for software as a service (SaaS) products.
As a SaaS leader, you know that the more metrics, insights, and analytics you add to your products, the more engagement you’ll have – and the stickier your product will become with customers. At what point do you decide to keep building your analytics in-house or invest in an embedded analyticssolution?
Analytics are boring… Visualizations are yesterday’s news… who uses dashboards anyway? Dashboards and visualizations. The post Yes, Analytics Are “Just Another Feature,” But… appeared first on Qrvey.
In today’s data-driven world, software product managers are constantly seeking ways to prove the ROI of their SaaS products. Self-serviceanalytics. Let’s dive into why SaaSanalytics is becoming a core component of every SaaS offering and how you can leverage it to demonstrate value to your customers.
The analytics market has gotten pretty big over the last 20 years. There are now dozens of companies touting hundreds of different business intelligence and business analyticssolutions. But not all of these solutions are well-suited for the specific needs of software-as-a-service (SaaS) companies like yours.
As we enter the new year, many SaaS companies are about to begin the process of evaluating embedded analyticstools for their SaaS applications. If you’re a SaaS product manager looking for an embedded analyticssolution, we know you have a lot to consider.
But if everyone knows that the development team is the lifeblood of your application and company, why are they often saddled with embedded technologies they don’t enjoy using? Here at Qrvey, we’re built for the way you build software. It’s time to start taking your embedded partnerships seriously.
In today’s competitive SaaS landscape, data is the new gold. Harnessing the power of SaaSanalytics can unlock profound insights, enabling you to optimize your product, retain customers, and drive sustainable growth. But where do you start?
“White labeling is a must-have for successful embedded analytics” Application providers— including software as a service (SaaS) companies, original equipment manufacturers (OEMs) and independent software vendors (ISVs), all strive to provide their users with a seamless analytics experience.
Saying Goodbye to an Old Friend… If you’ve been around technology for any length of time, then you know that eventually, all of the tools you currently use and rely upon will be sunset, deprecated, replaced or acquired. This is especially true in enterprise software, where legacy applications often get sold, and sometimes re-sold, to.
As a software company, you already know the value of data and analytics for your business. The more insights and analytics you add to your products, the stickier they become with your customers. The post Here Are 9 Reasons NOT To Build Your Own Analytics appeared first on Qrvey.
Most companies realize the value third party analyticssolutions offer in delivering a best-of-breed capability to market quickly. However, end-user expectations have moved beyond what embedded analytics can offer and now encompass a seamless user experience, easy to use self-service, and immediate data response times.
re:Invent is when we learn about all of the new products and services AWS is making available to us, and in turn, all of the great products and servicesQrvey will be making available to. The post Top Analytics Takeaways from AWS re:Invent 2021 appeared first on Qrvey.
The business analytics market has gotten pretty big over the last 20 years. There are now dozens of companies touting hundreds of different business intelligence and business analyticssolutions. But not all of these solutions are well-suited for the specific needs of software-as-a-service (SaaS) companies like yours.
A few months ago, I joined Arman Eshraghi (CEO and founder of Qrvey , provider of embedded analytics for SaaS applications) on his podcast SaaS Scaled to share my experience launching SaaS products. After developing and launching multiple apps, I have definitely learned to be in the second camp.
Key takeaways Are you considering implementing Sisense for embedded analytics in 2025? Have you been evaluating the alternative options for embedded analytics? Sisense remains a powerful tool, but its not necessarily the best fit for every business and use case.
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