Evaluating SAS in the Modern Analytics Market

Written by Vasilij Nevlev | May 16, 2024

What is driving the evolving change in data analytics and increasing its pace?

Data volume,
The growing demand for real-time insights and
The need for cost-effective, scalable solutions.

Organisations that use legacy systems like SAS9 and SAS on Mainframe are faced with a situation where they need to navigate a path to modernisation, to ensure existing capabilities stay up-to-date.

Our goal is to give you a short and pragmatic overview of the relative advantages, limitations, and contextual applicability of each solution.

SAS9 and SAS Mainframes and their extensive statistical procedures offer vast analytical capabilities, including:

Predictive modelling,
Econometrics, and
Data mining.

These are employed for many highly specialised applications, like risk modelling and clinical trials. As a platform, SAS provides a unified suite of tools for data access, management and reporting.

This integration reduces dependence on third-party software, streamlining the analytical workflow.

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