March 28, 2022

Alteryx Cloud Analytics

 

A recent Gartner report predicts two-thirds of development and production analytics will be performed in the cloud by 2023. 75% of businesses are transitioning to the cloud for their analytics, or are already there. While many enterprises look to the cloud giants such as AWS, Microsoft Azure, and Google Cloud, other cloud providers focused with on-premises solutions are making moves. One such provider, Alteryx, recently announced its Analytics Cloud earlier this month which is a unified end-to-end automation platform for business analytics.

Alteryx recently acquired Trifacta, a data engineering software company that provides integration with other cloud data warehouses such as Snowflake and also provides architecture for the 3 giant cloud providers previously mentioned. This technology allows Alteryx to offer competitive deployment solutions that can meet any business analytical needs that may arise. This acquisition also improves Alteryx’s credibility with data engineers that manage the data pipelines and analytical tools and applications for enterprises.

Cloud Technology Solutions Illustration

Their aim is to “democratise analytics” and not leave the analysis to the data scientists, as the company’s chief data and analytics officer explains how simple it is to become certified in Alteryx and how the platform can be used to improve performance in a two-mile race or determine the correct amount of nutrition and sleep a person should be obtaining.

Analytics needs to move to the cloud as businesses become more sophisticated and an increase in processor power is needed to analyse the vast amounts of data; the cloud offers the perfect scalability for this. It is also important that the analytic tools are available where the data is, and as more customer data is exported to the cloud, the capabilities to analyse that data need to migrate too. While Alteryx’s approach is “cloud first”, they are continuing their on-premises products with the possibility of deploying cloud-native technologies on-premises in the future if required.

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