In our report, we provide fresh insights into how SaaS vendors are currently integrating or exploring the application of AI, its alignment with their broader innovation and investment strategies, and the obstacles that the SaaS sector must surmount to ensure the responsible and fitting use of this technology.
We delve into the reasons behind the escalating popularity of embedded analytics.
Additionally, we explore why most SaaS organizations proactively collaborate with embedded analytics vendors instead of pursuing in-house development. As well as outlining what to expect during an embedded analytics trial and deployment.
Many SaaS vendors see embedding analytics into their application as one of the main priorities in their product roadmap. But why is this?
This guide explains why this trend is growing amongst SaaS vendors and why most are actively engaging and partnering with an embedded analytics vendor rather than attempting to build themselves.
SaaS vendors are looking to applications that can provide their customers with the assurance that their data is safe and always protected. Our guide highlights key security areas SaaS vendors should consider when looking at third-party applications to embed.