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Analytics-as-a-Service (AaaS)

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.

Why Data Analytics as a Service is an opportunity?

Data Analytics as a Service (AaaS) provides a user with analytics software delivered via Software as a Service (SaaS). With AaaS, a business can have all of the advantages of Big Data analytics, without having to invest in additional infrastructure to support the storage and computing requirements of an on-premises system. See the full article for more details.

What is the main advantage of Analytics-as-a-Service (AaaS)?

Businesses that leverage data have a clear advantage over those that do not. A study by NewVantage Partners found 80.7% of Fortune 1000 companies say their data investments have been “successful,” with 49.2% reporting data analysis has helped decrease expenses and 44.3% says it has enabled them to find new ways to innovate.

How can I use Analytics-as-a-Service?

Data-reliant companies from across industries are increasingly turning to AaaS for their analytic needs. Companies with more robust IT departments may look to AaaS for more simple descriptive analytics which their own data scientists can then unpack. On the other hand, companies with less highly-developed IT capabilities might use AaaS for more complex predictive and prescriptive analytics.

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Help Topics

Analytics-as-a-Service (AaaS)

Still have questions on this topic? See some articles below that may help.

How do you conduct market research to reveal business opportunities?

What are the main steps for conducting market research?

How to turn real-time data streams into business value?

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