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Analytics as a Service - how effective ?
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INCLUDES A LARGER SERVICE RANGE?
What these all have in common is that the service model replaces internal systems with web-delivered services.
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
In the example of analytics as a service, a provider might offer access to a remote analytics platform for a monthly fee. This would allow a client to use that particular analytics software for as long as it is needed, and to stop using it and stop paying for it at a future time.
Any thoughts?

52 months ago
After cloud - every software/product has come as a service. Hence analytics is no exception.
This might help you
https://www.progress.com/blogs/is-analytics-as-a-service-the-right-approach-for-you
Yes analytics as a service will be a category in Everything as a Service. This can include machine learning, AI and even deep learning along with visualization.
Analytical Services is for policy makers, funders, academic and corporate research institutions to comprehensive multidimensional studies, data delivery and web integration services to meet research management needs.

52 months ago
First is the need for a zero-trust environment which is necessary to commingle data...people within the same organization usually don't trust each other. There are platforms doing this (Myngl.IO being one), However, the core concept is missing from most implementations and this is incumbent for Analytics as a Service to work.

