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The public cloud software-as-a-service (SaaS) market is projected to be worth more than $157 billion in 2020, and for good reason. Businesses are increasingly moving to the cloud and service-based cloud applications are helping companies digitize and optimize all of their critical functions. But as data moves to the cloud, so does the need for new data pipelines and analytic solutions.

Read on for some of the biggest data challenges facing the SaaS industry.

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Challenge #1

Automation

SaaS applications are built on data, but the size, diversity and velocity of that data has never been more challenging. Analytics applications not only be able to process all types of data, including semi- and unstructured, but also have the power and performance to analyze all of that data in real-time.

Qrvey was built for the next generation of analytics applications and fits perfectly with the needs of next-generation SaaS products. Qrvey embraces analytics, automation, big data, and machine learning to provide the speed, automation and personalization the SaaS industry needs with the data security they demand.

Challenge #2

Speed

Data is no longer measured in megabytes, it’s measured in terabytes and even petabytes. This level of analysis requires not only a fully cloud-native analytics platform, but also one that uses the latest in microservice architecture to get the job done in seconds and minutes rather than days or weeks.

SaaS applications are built on big data. That’s why Qrvey was built to perform in even the most demanding of environments. Even hundreds of millions of rows can now be analyzed in seconds and with machine learning to aid with data augmentation, analysis, predictions and more.

Challenge #3

APIs

SaaS solutions aren’t built in a vacuum. They must increasingly connect to disparate data, customers and third-party systems. This requires analytics solutions that have robust APIs to effortlessly move data, analytics and insights where they need to go in real-time.

Qrvey is a 100% cloud-native platform that assembles dozens of AWS microservices to provide an all-in-one, API accessible analytics solution spanning data collection, transformation, visualization, automation and ultimately, data-driven actions and decision making.

Challenge #4

Personalization

Users don’t have time to wade through mountains of information that isn’t relevant to them. They demand their software experiences are tailored to their own needs. But personalization places a huge burden on traditional analytics tools that weren’t built in the cloud and don’t offer a single data repository for personalized analytics.

Qrvey is fully customizable, for the ultimate white label experience.

Customizable SaaS Industry Analytics and BI Platform

Qrvey’s All-in-One Analytics Solution

Qrvey is the only all-in-one, cloud-native analytics solution that gives the SaaS industry the tools they need to meet their biggest analytics challenges.

As the SaaS industry continues to usher in the age of digital transformation, the need for powerful, flexible and scalable analytics solutions only intensifies.

Only Qrvey offers an all-in-one, cloud-native analytics platform that can deliver self-service, embedded and enterprise-grade analytics applications to meet these new challenges.