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The next level of embedded analytics - contextual analytics - makes this possible.
Contextual analytics takes the process of embedding dashboards and analytics into your software one step further by placing them directly into your application’s core workflows. The data users need to guide their decision making is delivered right at the point of their daily work, within the user interface and transaction flow.
This means analytics and transactions are now seamlessly blended together - and it’s this very tight integration of analytics and workflow in your application that now makes data contextualized, dynamic and personalized for your end-users.
So, why should you care?
Contextual analytics brings the level of context your users want - and need - to find deeper insights and make more accurate decisions, just from using your app as normal. They don’t have their workflows interrupted because they have to switch contexts or windows to find more information, and the pain-point of accessing a standalone module for BI is eliminated. They have their data in dashboards and reports, and dynamically delivered insights, right as they interact with the software.
Most importantly, contextual analytics makes guided insights possible. They don't have to manually look for changes or trends in their data for answers - a process prone to human error or data fatigue, and dependent on skillset. It empowers everyone to be effective in their work, by augmenting their analysis capability whilst transacting in your software application.
Want to learn more?
Download this white paper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your software solution by elevating the user experience.