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

Although it’s easy to discern differences among business intelligence (BI) tools when it comes to visualization, authoring, and administrative capabilities, it’s difficult to do the same for embedded features. That’s because the major differences show up at the code level. Only a developer can really tell how easily and quickly a tool may be embedded and how well it will scale. Pricing is also tricky, since traditional user-based models don’t work well when usage can’t be predicted.

YOU WILL LEARN:

The rationale for embedding analytics
Differences among embedded BI architectures
Three keys to a successful embedded analytics project
Twelve criteria to consider when selecting an embedded BI product

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