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SAS (@sassoftware) transforms a world of data into a world of intelligence through innovative software and services, including AI, machine learning, Cloud and IoT analytics. Its mission is to empower and inspire with the most trusted analytics. More than 84,000 customer sites in 145 countries, including 92 of the top 100 companies on the Fortune 500® list, count SAS to help them transform a world of data into a world of intelligence.  To learn more visit

 Press Releases

  • Data scientists reveal roadblocks to digital transformation

    SAS research also identifies strategies to capitalize on this pivotal moment and empower data scientists and organizations

    Digital transformation has accelerated significantly due to the COVID-19 pandemic, but the extra demands on data scientists have revealed significant barriers to effective working and high levels of job dissatisfaction in some areas. For example, around four in 10 are dissatisfied with their company’s use of analytics and model deployment, while more than 20 barriers to effective working emerged, according to a survey of data scientists commissioned by analytics leader SAS.

    However, the work of data scientists has grown in importance with many organizations accelerating digital transformation projects by using technology to improve business operations. More than 90% of respondents indicated the importance of their work was the same or greater compared to before the pandemic.

    To delve deeper into the state of data science, the report assesses the impact of the pandemic, challenges faced, overall satisfaction with the analytics environment and more. The research showed the pandemic upended standard business practices, shifting the assumptions and variables in models and predictive algorithms and causing a ripple effect of adaptations in processes, practices and operating parameters.

    More than two-thirds of respondents were satisfied with the outcomes from analytical projects. However, 42% of data scientists were dissatisfied with their company’s use of analytics and model deployment, suggesting a problem with how analytical insights are used by organizations to inform decision making. This was backed up by 42% saying data science results were not used by business decision makers, making it one of the main barriers faced.

    The survey also highlighted some specific skills gaps. Less than a third of the respondents reported having advanced or expert proficiency in program-heavy skills, such as cloud management and database administration. This is an issue given that use of cloud services is up significantly, with 94% saying they experienced the same or greater use of cloud since COVID-19 struck.

    “There have clearly been more demands placed on data scientists as the pandemic has accelerated digital transformation projects that many organizations were planning anyway,” said Dr. Iain Brown, Head of Data Science at SAS UK and Ireland. “A major source of frustration is finding a way for organizations to implement the insights from analytics projects and use them in their decision making, which means giving data scientists a seat at the boardroom table might be a way forward.

    “Linked to this, we found concerns around support for data science teams and a lack of talent, which has been an issue for some time with demand outstripping supply. Organizations must realize that investing in a team of data scientists with complementary skills could reap huge value for the business, so the cost of hiring needs to consider the return on that investment as we move to significantly more digital and AI-driven business processes.”

    The research also identified gaps in consistent organizational emphasis on AI ethics, with 43% of respondents indicating that their organization does not conduct specific reviews of its analytical processes with respect to bias and discrimination and only 26% of respondents reporting that unfair bias is used as a measure of model success in their organization.

    When it comes to the challenges identified to ensure fair and unbiased decision making, Dr. Sally Eaves, an industry expert, said, “Data scientists can lend their expertise to craft working guidelines for data access, usage security, and broader issues, such as sustainability and data ethics and bias.”

    “Rather than sometimes hoping they are given appropriate, clean data and relying too much on the technology to drive fair outcomes, they can play an active role to put in place the right guidelines and checks at each stage of the analytical process to try and eliminate bias. Having a transparent and explainable flow from data to decision is obviously key to this.”

    The research revealed positive outcomes from the global disruption of the pandemic. Nearly three-quarters (73%) said they are just as productive or more productive since the pandemic, while a similar proportion (77%) revealed they had the same or greater collaboration with colleagues. This suggests many of the challenges highlighted were in existence, possibly to a greater degree, before the pandemic.

    Other challenges experienced were the amount of time spent on data preparation versus model creation. Respondents are spending more of their time (58%) than they would prefer gathering, exploring, managing and cleaning data.

    “Overall, the data scientist has ample reason to feel empowered and optimistic about how the pandemic has shone a spotlight on the importance of their role within their organization and how it might evolve over time,” said Brown. “This holds especially true if data scientists can leverage the whole spectrum of available tools to manage the analytics life cycle, pursue data science training and skill development opportunities, and embrace data prep as the first step in modeling.”

    Additional findings and discussion points, including strategies for data scientists to improve processes and outcomes, are available in the full report: Accelerating Digital Transformation

    About SAS

    SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.

  • SAS and Clemson University deploy AI and machine learning software for education and research

    $3.3 million gift builds SAS skills among students and supports analysis of massive datasets

    Clemson students and faculty will have access to powerful data science and analytics software from SAS thanks to a new, $3.3 million donation to support teaching and academic research. Extending a 2017 partnership, the latest gift from SAS includes access to SAS® Viya®, the company’s flagship artificial intelligence, machine learning, analytics and data management platform.

    “Clemson’s partnership with SAS has greatly benefitted our faculty, staff and students, and I am grateful for this gift that will continue to provide them with the best software and hands-on experience,” said Clemson President James P. Clements.

    SAS Viya enables users to transform raw data into powerful insights. These insights will allow Clemson researchers to make sense of large data sets and explore various critical topics. Researchers intend to study important areas such as racial inequities in education, wildlife disease, addiction, agriculture and the human genome. SAS will also provide teaching materials and on-site training for faculty and staff to help them integrate SAS into coursework and research.

    “Clemson’s students, faculty and researchers will be able to use the latest industry-leading SAS AI and advanced analytics software to learn new skills and generate new breakthroughs,” said SAS CEO Jim Goodnight.

    Expanding an innovative partnership

    Since 2017, Clemson’s Watt Family Innovation Center has served as the primary hub for SAS training, seminars and technical support. With this latest gift, the Watt Center aims to partner with Clemson Computing and Information Technology to educate users on SAS capabilities, assist with program onboarding and oversee SAS analytics and data science certification administration. SAS is also available through the university’s Palmetto Cluster supercomputer, drastically reducing processing times.

    The SAS partnership with Clemson creates a competitive edge for students with a knowledge of SAS Viya and other analytics skills. Last year, more than 143,000 job postings listed SAS as a desired skill, according to Emsi Burning Glass, an aggregator of labor market data. Clemson integrates SAS into courses to better prepare students for careers in health care, financial services, the public sector and more.

    “By integrating SAS into coursework, we’re helping strengthen literacy in data science,” says Cynthia Young, founding dean of the College of Science. “Our students become more competitive, our alumni are more successful, and our state and nation are getting more of a workforce that understands SAS and is better prepared to advance many industries as they harness the power of data.”

    Analyzing huge datasets to improve health care quality

    Brian Witrick, a fifth-year PhD student, entered Clemson’s applied health research and evaluation program to better understand analytics. However, he didn’t expect this knowledge to create a statewide impact on disparities in health care.

    Along with his advisor, Witrick uses SAS to analyze a registry of people with peripheral artery disease to determine disparities in care. Peripheral artery disease can be very painful and, in some cases, lead to amputations. Witrick and his team use SAS to examine disparities in care across South Carolina.

    “The practical implications of using SAS on this project are pretty amazing,” says Witrick. “Utilizing SAS allows us to identify the problem and then create potential solutions and interventions.”

    Previously, the team has struggled with the enormity of data in their registry, including hundreds of thousands of observations. With SAS, Clemson has reduced data processing time by 82%. A processing job that used to last seven days now takes only 30 hours.

    As Witrick thinks about the next steps after receiving his doctorate, he knows his work with SAS is far from over. “SAS is helping eliminate barriers in health care, but I think this gift helps eliminate barriers when it comes to access to technology,” he says. “As much time as I’ve had working with SAS, it’s nice to know that there’s so much more that I could do with it. Dare I say the sky is the limit.”

    Building brighter futures through education

    From preschool to adult learners, SAS has initiatives to support learners at all stages. Through free software, education partnerships and philanthropy, SAS promotes early learning and literacy, builds analytics and STEM skills and fosters diversity in a technology-driven workforce.

    The recently launched SAS Skill Builder for Students is a free global program available to higher education students to learn SAS skills, get certified and find a job. In addition, more than 400 higher education institutions around the world integrate SAS into coursework and research efforts through the Academic Specialization program.

    About Clemson University

    One of the most productive public research universities in the nation, Clemson University enrolls 27,341 students across the State of South Carolina and has an endowment of over $1 billion. The University operates Extension offices in every county of the state and has five innovation campuses and six Research and Education Center locations. Classified as an R1 — Very High Research University by the Carnegie Foundation for the Advancement of Teaching — Clemson is dedicated to teaching, research and service. For more information, go to

    About SAS

    SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.


  • SAS Grid Guardian AI
    SAS Grid Guardian AI eliminates overhead equipment failures & helps Utilities prioritize maintenance plans for unmatched safety, reliability, and uptime by using edge-computing sensing and advanced analytics focused on Radio Frequency emissions....

  • SAS® Grid Guardian AI, a first-of-its-kind solution, enables Utilities to achieve next-level reliability & service levels by complementing existing APM approach with edge-computing sensing technology and advanced analytics focused on Radio Frequency emissions from overhead equipment. Using AI & machine learning, Utilities can better understand the types of equipment failures most likely to occur and how to prioritize maintenance plans for safety, reliability, and uptime.  

    We provide software & services that enable:   

    • Accurate, reliable detection of degraded overhead equipment without the utility having to install new sensors. 
    • Data management and data quality tools to prepare data needed to generate insights.   
    • Actionable insights that enable repair and maintenance can preempt unplanned loss of service, collateral damage to equipment and added safety risk to workers.  
    • Optional integration with existing work order systems to minimize disruption to existing processes.  

    The result is shorter and less frequent customer interruptions, reduced restoration costs, safer work environments and improved customer satisfaction. 

  • SAS Energy Forecasting
    SAS Energy Forecasting enables Utilities to operate more efficiently & effectively at all levels of decision making with a range of automation, scalability, statistical sophistication and transparency by delivering repeatable & defensible load forecasts....

  • SAS Energy Forecasting enables Utilities to operate more efficiently and effectively at all levels of decision making with a broad range of automation, scalability, statistical sophistication, and transparency built on SAS’ experience working with hundreds of utilities worldwide.  With SAS Energy Forecasting, you can:

    • Get forecasts that reflect business realities, and plan future events with confidence.

    • Use all your data to maximize investments in smart meters and advanced metering infrastructure.

    • Do more – better – with existing planning and forecasting resources.

    • Make better energy trading and contract purchase decisions.

    • Extend your energy forecasting capabilities with SAS® Analytics for IoT.

    Key Features include:

    User-driven hierarchical forecasting
    Integrated data management
    High-performance load forecasting

    Single administration & reporting visual interface

    What-if analysis & scenario planning

    Flexibility & scalability

    Powered by SAS® Viya®

    Improve load forecasting performance, reduce uncertainties and generate value with SAS Energy Forecasting.  Learn more at