How to Select an Embedded Analytics Product:
Twelve Criteria to Consider

Embedding analytics into any core application is far from simple, but adopting the technology is actually the easiest part.

The hard part?

Getting your people, processes and strategy in place to choose the right solution and deliver greater value to your users. Before you go to-market, get your team in place, identify your requirements, and follow the right criteria to a tee.

No matter your product or industry, embedded analytics is key to delivering value for your users.

By having analytics at the point of need inside your core software, your users can see the impact of past actions and act faster on insights without switching applications or contexts.

The problem is figuring out which modern embedded analytics tool best fits your needs.

Although it’s easy to discern differences in BI solutions when it comes to dashboards, reports and visualization, it can be hard to do the same for their embedded analytics features - and if you choose a tool not designed for embedding, you can face a more complex environment.

At this point, the decision often comes down to building vs buying an embedded analytics tool.

But choosing to build in-house instead of buying an established analytics platform leads to a lot of challenges that might not be apparent initially. It’s a complex task that requires years of expertise and experience to ensure your technical integration is correct - not to mention the costs necessary to upskill, maintain support, and match the features of specialist BI solutions.

The high costs, risk and delayed time-to-market for your product can be avoided with the right choice in a market-leading embedded analytics solution. It’s just hard sometimes to know what to look out for. Thankfully, this guide can help you pick the best embedded BI product today.

Learn from the analytics experts at Eckerson Group the 12 most important criteria to consider when selecting an embedded analytics product - and start implementing your modern BI platform sooner.

• Benefits of building vs buying analytics capabilities
• Key differentiators in integrating analytics with your app
• Why you should prepare for next-wave embedded analytics