The Next Generation of Embedded Analytics is Here

Technology is always changing and that’s certainly been true in the analytics world. Our industry has already seen tremendous innovation over the years, but it’s about to take another giant leap forward. Let’s take a quick trip down memory lane to see where analytics came from to get a better understanding of where it’s heading next.

The Beginnings of Business Analytics

In the first generation of business analytics, or business intelligence as it was coined, products like Cognos and Crystal Reports opened up the world of charts and reporting to desktops and servers across corporate America. For the first time, companies were able to visualize their structured datasets. Companies gained insights into what was happening within their organization.

Client-Server Business Intelligence

Next came a new wave of web-based BI products that didn’t rely on the old client-server model. Companies like Logi Analytics, Jaspersoft and Pentaho led the way, with the bigger client-server companies in tow. The web made analytics more accessible than client-server model. Web-based licensing also made business intelligence more affordable.

SaaS BI

In the third generation, business analytics moved to the cloud. Hosted and SaaS offerings from vendors like GoodData and Birst were followed by cloud offerings from companies like Tableau, Qlik and SiSense. All of these new cloud products offered companies a simpler, centralized model for their analytics. They could scale thanks to the power of cloud computing. This generation brought with it some downsides however, mainly that companies needed to turn over their data to a third party. This model was a no-go for many companies that dealt with sensitive data or had strict compliance rules to follow. SaaS left entire industries stuck with older technologies. Performance was another area where this generation was lacking. Simply hosting your existing BI solutions in the cloud offered far fewer advantages than many had expected.

Enter Embedded Analytics for SaaS Applications

Today we’re entering a new generation of embedded analytics, one led by Qrvey. We take analytics to its logical conclusion, having built a comprehensive embedded analytics platform that is 100% cloud-native, serverless, and deployed to your cloud environment. We’re not a SaaS offering, nor simply hosted in the cloud. Instead, Qrvey was built on a modern architecture of microservices. Qrvey provides the utmost in scalability, flexibility and performance as well as the most economical solution for embedded applications. We fully leverage the billions of dollars that have been invested into the cloud. Qrvey provides access to all of the latest technologies and services faster than any other vendor. Everything from self-service to augmented analytics and the latest in machine learning are continually being added to the Qrvey platform.

We didn’t stop there however, Qrvey also addresses the data security and compliance problem with a unique deployment model. Qrvey deploys directly into your own cloud account. We leave you in complete control of your data and the infrastructure on which it resides. We’ve also lowered the barriers to getting started with free trials, upfront pricing and a licensing model that works with your business instead of against it.

Consider modernizing your business analytics. You owe it to yourself to take a look at what’s possible with a modern embedded analytics platform. If your current analytics solutions are more than a few years old, definitely contact us for a demo.

David Abramson

David is the Chief Technology Officer at Qrvey, the leading provider of embedded analytics software for B2B SaaS companies. With extensive experience in software development and a passion for innovation, David plays a pivotal role in helping companies successfully transition from traditional reporting features to highly customizable analytics experiences that delight SaaS end-users.

Drawing from his deep technical expertise and industry insights, David leads Qrvey’s engineering team in developing cutting-edge analytics solutions that empower product teams to seamlessly integrate robust data visualizations and interactive dashboards into their applications. His commitment to staying ahead of the curve ensures that Qrvey’s platform continuously evolves to meet the ever-changing needs of the SaaS industry.

David shares his wealth of knowledge and best practices on topics related to embedded analytics, data visualization, and the technical considerations involved in building data-driven SaaS products.