/ OEM

Treat Analytics Like A Feature

If you’re a software company, chances are your product is already great at collecting and manipulating data provided by your customers. Getting data into your platform is, after all, a crucial first step for any customer-facing system. But when it comes to getting data out of your platform for tasks like reporting and analytics, most software companies still don’t even realize everything that is possible.

In a previous blog post, Two Sure-Fire Ways To Beat Your Competition, I explained that one of the easiest ways to win against your competition is to add no-code analytic capabilities to your product. Analytics are not only extremely useful, but they’re also engaging and sometimes even fun for users as they explore, discover and learn. In this article however, I’d like to talk more to the “how” of adding analytics, rather than the why. Too many companies look at analytics as something they should simply connect to, rather than what analytics really are, which is a feature that should be pervasive throughout your platform.

Analytics shouldn’t just be a destination users navigate to. They are far more valuable when they are embedded throughout your product, providing insights everywhere, rather than just in a single location. Just think about all of the places where you can add instant value for your users, from dashboards and metrics, to interactive widgets, to built-in reporting, data collection and more.

Analytic automation can extend this functionality even further by sending reports, alerts and notifications automatically as key events are detected. Users can even enrich the data and analytics you provide by connecting additional data sources or their own or using tools like web forms to collect new data.

If all of this seems like a daunting task, that’s because it is. Analytics is not a simple feature to implement. It’s a complex feature that must manage varying data models and constantly changing conditions, all while keeping all of your data in sync and in a analytic-ready state. That’s why for many software platforms, analytics and reporting is merely an afterthought, not a core competency.

Fortunately, there are other options. Qrvey is a modern business analytic platform that was built for embedded use cases like yours. Qrvey is not a SaaS offering. We use a unique hybrid cloud deployment model that installs directly to your own cloud account, so you’re always in total control of your data privacy and security.  Qrvey is also 100% cloud native, taking full advantage of the latest cloud services like Elasticsearch, S3, DynamoDB, Kinesis, Lamba and dozens more.

Best of all, as an embedded platform, you can take full advantage of the Qrvey API and pre-built widgets to get up and running quicker and easier than you ever imagined. Qrvey even offers a free trial to get you starts.