Deliver Better Data-Informed UX Using Sisense Embedded Analytics

This article was created in partnership with Sisense. Thank you for supporting the partners who make SitePoint possible.

Businesses across just about every industry are learning to prioritize collecting data along the customer journey. And to an increasing degree, data reporting and interactive visualizations are a big component of the value that apps have to offer users, whether these users are within your organization, external stakeholders or mass market end users.

It doesn’t matter if your product is an executive dashboard that surfaces supply chain efficiency issues, a “quantifiable self” app that tracks biometrics for gamified fitness achievement or a business app that helps users keep track of project objectives – data storytelling is playing a bigger role in the interfaces of all digital products.

At the same time, app churn continues to haunt product teams, as the marketplace gets more and more saturated with apps that have overlapping use cases and functionalities – all the more reason to make quantifiable accomplishment a core component to your app’s interface. There’s arguably no better way to ensure app loyalty than to give users the sense that it’s a key component in their ongoing triumphs.

With this in mind, it’s easy to see why pretty much every mobile and web app today needs some sort of built-in analytics capabilities. Mobile app analytics can help you increase your product’s stickiness and deliver better user experiences. In turn, you’re able to create a high-value app for users that’s likely to be used more frequently.

So, the question isn’t whether or not you should add analytics capabilities to your app. It’s whether you should build your own or use a third-party solution?

The short answer is that it depends on a number of factors.

If you choose to build these analytics capabilities on your own, you’ll have more control over the app’s functionality and branding. In addition, you’ll be able to ensure that it functions exactly how you want it to, even if you need to set aside a budget for ongoing development and compatibility updates.

On the flip side, buying a third-party embedded analytics solution often makes for a far much less expensive option overall and you’ll be able to deploy the analytics capabilities in your app faster. Plus, you’ll get access to high-quality source components right off the bat, because you’ll be building on the experience of industry experts as opposed to an internal team that’s building out the capabilities from scratch on an as-needed basis.

In this article, we’ll dig deeper into the build versus buy dilemma of adding analytics capabilities to apps and explain why it’s better to use embedded analytics than build your own app components. We’ll also share some best practices for using Sisense’s embedded analytics solution.

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Deliver Better Data-Informed UX Using Sisense Embedded Analytics
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