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If you haven’t noticed, every SaaS product is becoming an analytics product. SaaS users expect a self-service analytics experience to make data-driven decisions. There is a huge opportunity to add value with your analytics experience it improves customer happiness, and drives engagement and stickiness.
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.
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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.
What’s the biggest challenge for SaaS companies? If you want to be successful, you need the best technologies, and the best technologies come from having the best embedded partners. If you want to be successful, you need the best technologies, and the best technologies come from having the best embedded partners.
In the SaaS world today, competition is fierce. SaaS founders know they need to stand out from the pack. SaaS companies get their start in many ways. The post What is Infused Analytics for SaaS Companies? The post What is Infused Analytics for SaaS Companies? appeared first on Qrvey.
Key Takeaways: As a product leader, customer-facing analytics are essential to customer success. Are you bringing in revenue from those analytics? The post How to Monetize Data: 2025 Data Monetization Strategies appeared first on Qrvey. But are you getting everything out of those insights that you offer?
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.
The revolution centers around data, analytics, automation and artificial intelligence all seamlessly converging to provide better patient outcomes with dramatically lower costs. That’s why healthcare providers and software vendors are increasingly turning to modern, cloud-native analyticsplatforms like Qrvey in order to achieve.
Embedded analytics can help you deliver cutting-edge analytics experiences to your end-users that align with KPIs that are critical to the growth and success of your business. Get the eBook today.
With any technology, there is always a natural evolution of the industry and analytics is no different. In short, Infused Analytics is the next stage of the analytics industry. The post Infused Analytics: The Evolution Of The Analytics Industry appeared first on Qrvey. What’s Evolved.
What’s the easiest way to discover what your SaaS users like and dislike most about your software? For far too long, user feedback has been a tedious and often overlooked part of software development. Qrvey is unique in that we are an all-in-one analyticsplatform. But it doesn’t have to be that way.
“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.
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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?
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.
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.
Analytics are boring… Visualizations are yesterday’s news… who uses dashboards anyway? The post Yes, Analytics Are “Just Another Feature,” But… appeared first on Qrvey. Dashboards and visualizations.
Over the last decade, we’ve witnessed the domination of SaaS companies in every industry. If you look at the top 10 publicly traded SaaS companies (as of January 11, 2022), their market cap is a combined ~$1.25T. The post Analytics Megatrend: Specialization Wins 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.
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 decision then becomes whether to build your own analytics or invest in an analyticsplatform that can be easily embedded into.
As a software provider, your customers are generating tons of valuable data every day. But thanks to modern embedded analytics, software companies can finally unlock the potential of this valuable resource and offer a ton of value for their customers while creating. Up until now, much of this data was hard to access and analyze.
As a SaaS company leader, you’re constantly making decisions that have long-term effects on your company and your products. The post 4 Stages of Infused Analytics and What They Mean for Product Leaders appeared first on Qrvey. One of the biggest decisions facing product leaders will always be the build vs buy scenario.
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 services Qrvey will be making available to. The post Top Analytics Takeaways from AWS re:Invent 2021 appeared first on Qrvey.
Adding embedded analytics to your software doesn’t have to be an overwhelming task. This guide is the perfect companion for SaaS product managers. It will walk you through the process of choosing the right analytics provider step by step.
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.
The post Snowflake Pricing Breakdown in 2025: Guide & Hidden Costs appeared first on Qrvey. All in all, Snowflake doesnt have a flat rate or fixed monthly cost. Instead, it follows a pay-as-you-go model based on actual usage. It comes down to.
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.
The post Snowflake Pricing Breakdown in 2025: Guide & Hidden Costs appeared first on Qrvey. All in all, Snowflake doesnt have a flat rate or fixed monthly cost. Instead, it follows a pay-as-you-go model based on actual usage. It comes down to.
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.
Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital.
While usage costs can be better managed for your internal BI use case, Snowflake costs skyrocket for SaaS providers because the need to deliver real-time, interactive analytics in a multi-tenant environment is always on. But their collective impact can add up to a budget-busting blizzard if not addressed.
As a software company, you already know the value of data and analytics for your business. The decision then becomes whether to build your own in-house analytics or invest in an analyticsplatform that can be easily embedded into your software.
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