Many embedded analytics systems are leveraged within third-party applications as customer-facing solutions that provide access to analytics within other applications. We use them all the time by looking at our smart meter usage, online investment portfolios, or our athletic performance. The reality is that we use these embedded applications on a regular basis in our personal lives, but many business applications are still siloed with data access being limited and analytics applications being accessed separately from operations. Consequently, we can be more in tune with insights required for personal use than that within our business lives.

This lack of holistic data view and analytical insight creates gaps in knowledge. Without access to a consistent view of data and the ability to access both operational and analytical applications when needed, extra time is wasted and insights can be overlooked. Even with LDAP and single sign-on, making access to applications easier doesn’t provide the same level of visibility as embedded applications. Standardizing security and being able to toggle between applications might create better consistency but still lacks the intuitiveness of embedded analytics access within operational applications.

Beyond embedded analytics for customer-facing applications

Being able to take embedded capabilities common to OEM offerings and expand to include internal applications enables a holistic approach to analytics and strategic implementation of broader analytics implementations. Many organizations look at embedded initiatives as customer focused, by looking at:

  • How to generate additional revenue by leveraging collected data
  • Providing customers with value added services
  • Collecting additional data to identify trends and broader opportunities

These are some of the areas that organizations evaluate and provide the most value by providing embedded analytics to their customers. These same benefits can be provided to internal employees by taking advantage of the data collected in relation to use and collecting analytics about use and providing business users with value added solutions that incorporate both operational and analytical uses.

Embedded analytics for internal use

There are organizations that leverage embedded analytics as part of internal applications. However, currently, more embedded deployments still focus on OEM and customer-focused projects. As organizations become more mature with their overall analytics use, it becomes more important to look at an integrated approach to analytics. This is where embedded analytics comes in.

Instead of being a separate application access point, integrated analytics provides the value that business intelligence promises. Although traditional analytics can work, the reality is that integrated, embedded analytics makes information access easier and intuitive. The best way for organizations to leverage analytics is to ensure that information is accessible quickly and highly self-service. Embedded analytics provides this automatically, without stumbling blocks to data access that may exist in other types of analytics access.