Sas Institute Popular Books
Sas Institute Biography & Facts
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software (also called SAS), which helps access, manage, analyze and report on data to aid in decision-making. The company's software is used by most of the Fortune 500. SAS Institute started as a project at North Carolina State University to create a statistical analysis system, in fact SAS originally stood for "Statistical Analysis System", though it is no longer considered an acronym. It was originally used primarily by agricultural departments at universities in the late 1960s. It became an independent, private business led by current CEO James Goodnight and three other project leaders from the university in 1976. SAS is one of the largest privately held software providers in the world, and the company's software is used by most of the Fortune 500. The company's revenue grew from $10 million in 1980 to $3.2 billion in 2022. Historically, it has spent a notably higher proportion of its annual revenue on research and development than most other software companies. History 1966–1979: Founding and early history The Statistical Analysis System (SAS) began as a project at North Carolina State University's agricultural department. It was originally led by Anthony James Barr in 1966, then joined by NCSU graduate student James Goodnight in 1967 and John Sall in 1973. In the early 1970s, the software was primarily leased to other agricultural departments in order to analyze the effect soil, weather and seed varieties had on crop yields. The project was funded by the National Institutes of Health and later by a coalition of university statistics programs called the University Statisticians of the Southern Experiment Stations. By 1976, the software had 100 customers and that year, 300 people attended the first SAS user conference in Kissimmee, Florida. Goodnight, Barr, Sall and another early participant, Jane Helwig, founded SAS Institute Inc. as a private company on July 1, 1976, in offices across the street from the university. Barr and Helwig later sold their interest in the company. During its first year of operation, SAS adopted a tradition of polling users for suggestions to improve the software through the SASware Ballot. Many of the company's employee perks, such as fresh fruit, reasonable work hours and free M&M's every Wednesday became part of its practices that first year. In the late 1970s, the company established its first marketing department. 1980–2018 SAS started building its current headquarters in a forested area of Cary, North Carolina in 1980. Later that year, it began providing on-site daycare in order to keep an employee who had planned to leave her job to care for her child at home. By 1984, SAS had expanded the benefits programs it offered to employees and their families, and begun building a fitness center, medical center, on-site cafe and other facilities. SAS became known as a good place to work and was frequently recognized by national magazines like BusinessWeek, Working Mother and Fortune for its work environment. The company began its relationship with Microsoft and development for Windows operating systems in 1989. Shortly afterwards it established partnerships with database companies like Oracle, Sybase and Informix. During the 1980s, SAS was one of Inc. Magazine's fastest growing companies in America from 1979 and 1985. It grew more than ten percent per year from $10 million in revenues in 1980 to $1.1 billion by 2000. In 2007, SAS revenue was $2.15 billion, and in 2013 its revenue was $3.02 billion. By the late 1990s, SAS was the largest privately held software company. The Associated Press reported that analysts attributed the growth to aggressive research and development (R&D) spending. It had the highest ratio of its revenues spent on R&D in the industry for eight years, setting a record of 34 percent of its revenues in 1993, as it was working on a new menu-based interface. In 1998, a larger proportion of its revenue was spent on R&D than at most other software companies; in 1997, this figure was more than double the industry average. SAS created an education division in 1997 to create software for schools, including the newly formed Cary Academy. In 2003 the Bank of America Foundation purchased and donated licenses for the software to 400 schools in North Carolina. SAS funded its first advertising program in 2000 with a $30 million television and radio campaign. The company considered making 25 percent of its ownership stake available on the stock market and providing employees with stock-options during the dot-com bubble before the following downturn, but ultimately chose not to. SAS was one of the few technology companies that did well during the downturn and hired aggressively to take advantage of available staff. In 2009, SAS filed a lawsuit against World Programming Ltd., alleging World Programming System—a software product designed to use the features of the SAS language—violated their copyright as it was reverse engineered from the functionality of SAS Learning Edition. The European Court of Justice ruled that functionality and language elements were not protected and the case was discussed in Oracle v. Google SAS introduced its first reseller program intended to grow sales with small to medium-sized businesses in 2006. Leading up to 2007, SAS provided funding and curriculum assistance to help start the Master of Science in Analytics program at nearby North Carolina State University. The company's cloud-based products grew in revenues by 35 percent in 2014 and the construction of Building Q was completed late that year to house its corresponding operations. In March 2014, SAS launched its SAS Analytics U initiative to provide free foundational technologies and support to teachers and students. 2019–present In 2019, SAS announced that it was investing $1 billion into further artificial intelligence R&D, as part of a broader push to develop software in the fields of machine learning, deep learning, computer vision and natural language processing. The investment will also fund related initiatives such as acquisitions and the creation of education programs to teach the public about the applications of AI. That year, SAS partnered with Nvidia to produce offerings related to AI and deep learning. Under that partnership, Nvidia graphics processing units (GPUs) and CUDA-X AI acceleration libraries will support SAS' AI applications and models. SAS partnered with Microsoft in 2020 to allow users to run their SAS workloads in the cloud with Microsoft Azure. This partnership has also facilitated co-engineering between the companies in the areas of generative AI and data management, such as integration between OpenAI and SAS' analytical systems. In July 2021, the Wall Street Journal reported that the semicondu.... Discover the Sas Institute popular books. Find the top 100 most popular Sas Institute books.
Best Seller Sas Institute Books of 2024
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Sas Institute, Inc. v. Breitenfeld
In the Supreme Court of TexasThe trial court in this case granted SAS Institute's motion for summary judgment, requiring John Breitenfeld to repay a bonus on a cancelled sale based on a commission contract bet...
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A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
Norm O'Rourke, Ph.D., R.Psych. & Larry Hatcher, Ph.D.This easytounderstand guide makes SEM accessible to all users. This second edition contains new material on samplesize estimation for path analysis and structural equation modeling...
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SAS Visual Analytics for SAS Viya
SAS Institute Inc.Discover your data and create reports in an elegant and intuitive webbased interface! SAS Visual Analytics for SAS Viya is a practical guide designed to get you started investigati...
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The 2015 Nordic Hadoop Survey
SAS InstituteSAS Institute and Intel have asked more than 300 ITmanagers from the largest companies in Denmark, Finland, Norway and Sweden about the adoption of Big Data analytics and Hadoop. T...
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Fundamentals of Predictive Analytics with JMP, Third Edition
Ron KlimbergWritten for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and exp...
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JMP for Mixed Models
Ruth Hummel, Elizabeth A. Claassen & Russell D. WolfingerDiscover the power of mixed models with JMP and JMP Pro.Mixed models are now the mainstream method of choice for analyzing experimental data. Why? They are arguably the most straig...
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Smart Data Discovery Using SAS Viya
Felix LiaoGain Powerful Insights with SAS Viya! Whether you are an executive, departmental decision maker, or analyst, the need to leverage data and analytical techniques in order make criti...
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Multiple Imputation of Missing Data Using SAS
Patricia Berglund & Steven G. HeeringaFind guidance on using SAS for multiple imputation and solving common missing data issues. Multiple Imputation of Missing Data Using SAS provides both theoretical background and...
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Text Mining and Analysis
Dr. Goutam Chakraborty, Murali Pagolu & Satish GarlaBig data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is textoriented, thanks to the proliferation of online sources such ...
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Machine Learning with SAS Viya
SAS Institute Inc.Master machine learning with SAS Viya!Machine learning can feel intimidating for new practitioners. Machine Learning with SAS Viya provides everything you need to know to get start...
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Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS
Richard C. ZinkImprove efficiency while reducing costs in clinical trials with centralized monitoring techniques using JMP and SAS. International guidelines recommend that clinical trial data ...
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Intelligence at the Edge
Michael HarveyExplore powerful SAS analytics and the Internet of Things! The world that we live in is more connected than ever before. The Internet of Things (IoT) consists of mechanical and el...
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Segmentation Analytics with SAS Viya
Randall S. CollicaBetter understand your customers using segmentation analytics in SAS Viya!Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization demonstrates the use of ...
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Applying Data Science
Gerhard SvolbaSee how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, ...
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Portfolio and Investment Analysis with SAS
John B. Guerard, Zi-Wei Wang & Ganlin XuChoose statistically significant stock selection models using SAS®Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to ...
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The Global English Style Guide
John R. KohlThe Global English Style Guide illustrates how much you can do to make written texts more suitable for a global audience. Accompanied by an abundance of clearly explained examples,...
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Applied Data Mining for Forecasting Using SAS
Tim Rey, Arthur Kordon & Chip WellsApplied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for fo...
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Modern Approaches to Clinical Trials Using SAS
Sandeep Menon & Richard C. ZinkGet the tools you need to use SAS® in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods, ...
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Practical Data Analysis with JMP, Third Edition
Robert CarverMaster the concepts and techniques of statistical analysis using JMP Practical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP...
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Data Management Solutions Using SAS Hash Table Operations
Paul Dorfman & Don HendersonHash tables can do a lot more than you might think! Data Management Solutions Using SAS Hash Table Operations: A Business Intelligence Case Study concentrates on solving your chal...
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SAS Administration from the Ground Up
Anja FischerLearn SAS® administration from the ground up! Those who are new to SAS platform administration may find themselves full of questions. SAS® Administration from the Ground Up: Runn...
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SAS Text Analytics for Business Applications
Teresa Jade, Biljana Belamaric-Wilsey & Michael WallisExtract actionable insights from text and unstructured data. Information extraction is the task of automatically extracting structured information from unstructured or semistructu...
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Reach for the Stars
Ada Lopez, Elena Sabbi, Ph.D. & Ed SummersReach for the Stars: Touch, Look, Listen, Learn This multitouch book is designed for your iPad and is available for download from iBooks. Description Reach for the Stars presents ...
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Design and Analysis of Experiments by Douglas Montgomery
Heath Rushing, Andrew Karl & James WisnowskiWith a growing number of scientists and engineers using JMP software for design of experiments, there is a need for an exampledriven book that supports the most widely used textboo...
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Biostatistics by Example Using SAS Studio
Ron CodyLearn how to solve basic statistical problems with Ron Cody's easytofollow style using the pointandclick SAS Studio tasks.Aimed specifically at the health sciences, Biostatistics b...
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SAS Statistics by Example
Ron CodyIn SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techn...
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Generalized Linear and Nonlinear Models for Correlated Data
Edward F. VoneshEdward Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, wit...
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SAS Graphics for Clinical Trials by Example
Kriss Harris & Richann WatsonCreate industrycompliant graphs with this practical guide for professionals Analysis of clinical trial results is easier when the data is presented in a visual form. However, clini...
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Getting Started with SAS Programming
Ron CodyGet up and running with SAS using Ron Cody’s easytofollow, stepbystep guide. Aimed at beginners, Getting Started with SAS Programming: Using SAS Studio in the Cloud uses short exa...
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Biostatistics Using JMP
Trevor BihlAnalyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical disc...
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The Little SAS Book
Lora D. Delwiche & Susan J. SlaughterA classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a userfriendly approach so t...
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PROC REPORT by Example
Lisa FinePROC REPORT by Example: Techniques for Building Professional Reports Using SAS provides realworld examples using PROC REPORT to create a wide variety of professional reports. Writt...
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Logistic Regression Using SAS
Paul D. AllisonIf you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory a...
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An Introduction to Creating Standardized Clinical Trial Data with SAS
Todd Case & YuTing TianAn indispensable guide for statistical programmers in the pharmaceutical industry. Statistical programmers in the pharmaceutical industry need to create standardized clinical data...
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Unstructured Data Analysis
Matthew WindhamUnstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively...
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Elementary Statistics Using SAS
Sandra D. SchlotzhauerBridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first sect...
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Jump into JMP Scripting, Second Edition
Wendy Murphrey & Rosemary LucasLearn the essentials of the JMP Scripting Language with this beginner’s guide. Written in an easytounderstand style based on the authors’ extensive experience, Jump into JMP Scr...
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Insightful Data Visualization with SAS Viya
Falko Schulz & Travis MurphyElevate your storytelling with SAS Visual AnalyticsData visualization is the gateway to artificial intelligence (AI) and big data. Insightful Data Visualization with SAS Viya shows...
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Data Quality for Analytics Using SAS
Gerhard SvolbaAnalytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolba's Data Quality for Analytics Usin...
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Simulating Data with SAS
Rick WicklinData simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best ...
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JSL Companion
Theresa Utlaut, Georgia Morgan & Kevin AndersonConfidently navigate your JMP Scripting Language journey with this exampledriven guide! With more than 200 example scripts and applications, JSL Companion: Applications of the JM...
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SAS Viya
Yue Qi, Kevin D. Smith & Xiangxiang MengLearn how to access analytics from SAS Cloud Analytic Services (CAS) using R and the SAS Viya platform. SAS Viya : The R Perspective is a generalpurpose introduction to using R...
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An Introduction to SAS Visual Analytics
Tricia Aanderud, Rob Collum & Ryan KumpfmillerWhen it comes to business intelligence and analytical capabilities, SAS Visual Analytics is the premier solution for data discovery, visualization, and reporting. An Introduction t...
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Analyzing Receiver Operating Characteristic Curves with SAS
Mithat GonenIn this exampleladen book, author Mithat Gonen illustrates the existing SAS procedures that can be tailored to produce ROC curves and expands upon further analyses using other SAS ...
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Sas Institute
In the Supreme Court of TexasThe trial court in this case granted SAS Institutes motion for summary judgment, requiring John Breitenfeld to repay a bonus on a cancelled sale based on a commission contract betw...
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The transformation of the banking industry
SAS InstituteAs the banking industry enters a period of profound and probably difficult change, not only do the world's banks face a tidal wave of postcrisis regulatory initiatives and restruct...