Analytics as a service (AaaS) refers to the
provision of analytics software and operations through web-delivered
technologies. These types of solutions offer businesses an alternative to
developing internal hardware setups just to perform business analytics.
To put analytics as a
service in context, this type of service is part of a much wider range of
services with similar names and similar ideas, including:
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service
(IaaS)
What these all have in
common is that the service model replaces internal systems with web-delivered
services. 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.
Analytics as a service
is becoming a valuable option for businesses because setting up analytics
processes can be a work-intensive process. Businesses that need to do more
analytics may need more servers and other kinds of hardware, and they may need
more IT staff to implement and maintain these programs. If the business can use
analytics as a service instead, it may be able to bypass these new costs and
new business process requirements.
Along with the appeal of complete outsourcing
that analytics as a service provides, there is the option of going with a
hybrid system where businesses use what they have on hand for analytics and
outsource other components through the web. All of this equips the modern business
with more choices and more precise solutions for changing business needs in
markets that work largely on the availability of big data.
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