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MargaretC
SAS Employee

SAS has a track history of helping clients to preserve application investment and IBM Z is an essential element of modernization and AI strategy.

 

SAS’ software combined with IBM Z capabilities allows companies to scale and adapt easily to future regulatory changes and market demands while ensuring consistent service quality and operational continuity.

 

Addressing today’s changing IT landscape

Every day, clients face challenges in delivering integrated digital services. A large government agency with a rich history spanning several decades, found itself facing a critical business challenge.  The agency faced challenges in promptly determining benefits eligibility.

Recognizing the urgency of decreasing the backlog, the customer leveraged IBM Z agility and SAS.

A catalyst for success

Recognizing the integral role that technology plays in shaping the government landscape, SAS outlined the strategic vision for the future and our continued support for IBM Z. As a part of the IBM Ecosystem, SAS is helping companies unlock the value of their infrastructure investments by implementing the tools and technologies designed to help them succeed in a hybrid cloud world. We are excited to work closely with the IBM Ecosystem to bring innovations to our clients.

 

It is not just SAS' saying this, but we have many SAS customers running on z/OS to analyze their large volumes of data.  They have tried several times to move these legacy SAS applications to other hardware but continue to stay on IBM Z hardware as it is the best platform to manage and analyze these large volumes of data in a short timeframe.  Here is an example of this:  “A large US government agency uses SAS on their mainframe to provide scoring for initial beneficiary applications which are flagged to quickly make determinations of eligibility, resulting in a significant decrease in the application backlog over the past 10 years.” 

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Get Started with SAS Information Catalog in SAS Viya

SAS technical trainer Erin Winters shows you how to explore assets, create new data discovery agents, schedule data discovery agents, and much more.

Find more tutorials on the SAS Users YouTube channel.

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