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All Conference Years 




* We are featuring three Industry Specific Topic sections this year that focus on
   using SAS in that particular field.


Analytics Leadership

Co-Chairs:   Linda Sullivan
                     Merry Rabb

Companies benefit even more from analytics when leadership takes a strong role in setting that direction. Leaders need information and tools to effectively implement and integrate analytics into their operations. This new track is being offered for leaders and champions of analytics to share experiences and highlight effective approaches to promoting analytics in an organization.Whether you are a senior leader with a mature analytics unit or just starting up an analytics effort, we want to hear from you!

Presentation topics can include, but are not limited to,

  • Case studies for new analytics initiatives
  • Monitoring model performance
  • Measuring analytical maturity and capabilities
  • Leveraging data and analytics to drive transformation
  • Managing and growing data science teams
  • Moving from Business Intelligence to Analytics
  • Making analytics value propositions

Papers are not required but welcome for presentations in the Analytics Leadership track. Presentation proposals need to be submitted by June 13 using the same link as for abstracts.


Coder's Corner

Co-Chairs:   Matthew Bell
                     Venita DePuy

Every SAS® programmer, from the beginner to the expert, has found new or unusual ways to solve problems with SAS. Coder's Corner is the place to share tips and tricks, useful nuggets of programming, or techniques that make jobs easier. Presentations are 10 minutes in length and can come from a broad range of topics. Come and share your simple tricks to unlock some of SAS's mysteries!


Data Management and Big Data

Co-Chairs:   Lesa Caves
                     Ethan Ritchie

Data manipulation and integration have been mainstays of SAS® software since its inception. Over time SAS has grown to include a full suite of data management capabilities like Data Quality, Data Flux, Data Governance, Master Data Management, and Data Federation. This section intends to highlight the capabilities of traditional Base SAS and SAS Data Management as well as the various ways SAS leverages Big Data. These presentations will cover topics like data integration, data federation, data quality, data access, and data governance while providing helpful insights and lessons learned along the way.



Co-Chairs:   Abbas Tavakoli
                     Brian Varney

The E-Poster Section covers any area including: SAS® fundamentals; statistics; business intelligence; medical research; data mining; survey/panel results; social networking; and industry applications for the pharmaceutical, finance, education, environmental and entertainment industries. E-Posters will be displayed electronically on a wide screen monitor. In addition, a corresponding paper based upon the poster will be published in the conference proceedings. There will be allotted time to meet authors to discuss their E-Posters with conference attendees (Meet the Presenter session). Attendees will have the opportunity to examine E-Posters at their own pace and revisit displays several times during the conference.


Hands On Workshops

Co-Chairs:   Mike Sadof
                     Andrea Lewton

Hands On Workshops (HOW) provide an engaging forum to share a variety of SAS skills in an interactive setting. These sessions are typically 1.5 to 2 hours in length. Presenters will demonstrate SAS code and procedures in real time with a specific task or goal in mind. Any SAS topics that are better explained in an interactive setting are ideal for Hands On Workshops. These sessions are not reserved for complicated or elaborate SAS techniques only. A power point presentation, as well as sample code for the demonstration, is needed for the workshop. The datasets and code should be made available for download prior to the session, enabling attendees to run the code on their personal computers.

Workshops this year will be set up such that attendees bring their own device.
We will be using Amazon Web Services (AWS) to make presentation materials and SAS software available to attendees. Attendees will need a laptop, web browser, and Remote Desktop client. Please make sure you have an appropriate Remote Desktop client for your operating system.

* Windows users: the default Remote Desktop client is fine
* Mac OS X users: download the Microsoft RDP v10 app from here.

Attendees do not need to have SAS licenses on their own computers. However, if attendees decide they want to use their own computers and SAS licenses during the presentations, class materials will be available for download.

No laptop? No problem! Attendees are welcome to attend HOW sessions and watch as the instructor works through the exercises on the screen.



Co-Chairs:   Meenal Sinha
                     Mel Alexander

Papers in the Government section will focus on using the SAS System to help local, municipal, state, and federal government agencies apply analytics in delivering quality services in the face of budgetary and human resource constraints.

Topics may include, but are not limited to:

  • Taxpayer funding, budgeting, and finance management
  • Defense contracting
  • Tax revenue and waste reduction oversight
  • Public protection and safety
  • Internal and external regulatory and policy compliance



Co-Chairs:   Meenal Sinha
                     Mel Alexander

Papers in the Healthcare/Pharmaceuticals section will focus on using the SAS System to provide quality healthcare outcomes - saving patient lives; hospital readmission rates; drug/device discovery, injury and disease prevention; patient care and satisfaction; healthcare costs and delivery.

Topics may include, but are not limited to:

  • Patient safety and personal healthcare
  • Medical and pharmaceutical intervention effectiveness
  • Clinical trial evaluation
  • Epidemiological, environmental, socioeconomic, and genomic studies
  • Insurance premiums


Education/Institutional Research

Co-Chairs:   Meenal Sinha
                     Mel Alexander

Papers in the Education/Institutional Research section focus on using the SAS System to find solutions for reporting and analysis in the education community. This section will present techniques, best practices, and solutions for data needs in primary, secondary, and postsecondary education.

Topics may include, but are not limited to:

  • School systems evaluation
  • Integrated Postsecondary Education Data System (IPEDS) reporting
  • Admissions data management
  • Forecasting enrollment, retention, and graduation
  • Standardized testing metrics


Know Your SAS: Foundations

Co-Chairs:   Charlotte Baker
                     Kelly Smith

This section is primarily intended for programmers new to SAS, and includes topics essential for building the knowledge and capacity of beginner SAS users. Appropriate topics include SAS programming fundamentals, SAS program design, basic SAS procedures, and SAS debugging techniques. The presentations will provide beginning programmers with a greater understanding of SAS coding procedures, rules, and troubleshooting. Programming topics across all fields and industries are encouraged and welcome.


Know Your SAS: Advanced Techniques

Co-Chairs:   Richann Watson
                     Harry Droogendyk

Know your SAS: Advanced Techniques provides instructional content for intermediate and advanced SAS users. These presentations will help advanced programmers implement enhanced techniques to build on the power and flexibility afforded by SAS software. Programming topics across all fields and industries are encouraged and welcome.

Subject matter will include advanced SAS programming topics including:

  • ODS
  • SAS Macro Facility
  • Sophisticated and efficient PROC and DATA step programming solutions
  • SAS Enterprise Guide functionality
  • Integration with third-party software and databases
  • Innovative application development and data integration
  • Reporting and analytics solutions


Open Analytics

Co-Chairs:   Jason Brinkley
                     Brian Varney

Open Source software has become popular for data visualization, analytics, and data manipulation and management. This year, SESUG will pilot a new section featuring open source software that can be useful to the SAS user community. As SAS states, "As we think about the entire analytics life cycle, it's important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there's a role for open source and commercial analytics.*".
* SAS Open Analytics White Paper

The Open Analytics section will offer a variety of papers on topics leveraging open source applications in conjunction with or separately from SAS applications. Presentation topics that demonstrate clear benefit to the SAS user community may include, but are not limited to:

  • Integrating open source software with SAS
  • Scaling open source models to the enterprise
  • Accomplishing specific tasks using open source software
  • Developing and solving smaller scale projects with open source software
  • Balancing user needs in an open analytics ecosystem
  • Providing opportunities for open source users to learn SAS
  • Managing diverse analytics assets and development tools

This section welcomes topics which include but are not limited to the following technologies:
  • SAS Viya
  • SASPy
  • R
  • Python
  • OpenStreetMap
  • Lua
  • Groovy
  • Google Analytics
  • Google Maps
  • RESTful web services
  • Apache/Hadoop
  • HDFS
  • Spark
  • Jupyter as an IDE


Planning and Administration

Co-Chairs:   Josh Horstman
                     Carlos Piemonti

If all or part of your SAS® time includes supporting users, whether through systems architecture and administration or through consulting, training, and hiring, this section is the place for you to share your experiences with other members of the SAS community. This section will include guidelines, best practices, techniques, and resources for working efficiently and effectively in the SAS support community.

Possible topics include:

  • SAS Systems architecture and administration
    • Installation, deployment, and migration
    • Virtualization
    • Performance monitoring and tuning
  • Other SAS systems support
    • Recruiting, hiring and maintaining qualified staff
    • Training and skill development
    • SAS help desk support
    • Project planning and management


Reporting and Visualization

Co-Chairs:   Barbara Okerson
                     Louise Hadden

The Reporting and Visualization section invites presentations that demonstrate unique and innovative ways to visualize data and output. SAS provides many tools for visualizing and reporting data and results including Visual Analytics, SAS/Graph, SAS SG procedures, DSGI, and JMP®.

Presentation topics include but are not limited to:

  • SAS graphics procedures, styles, templates, Output Delivery System (ODS) and Graphics Template Language (GTL)
  • Customized reports, dashboards, scorecards, graphs, and maps
  • SAS Visual Analytics
  • JMP applications
  • SAS and/or JMP integration with Microsoft Windows, Mac OS, R, Python, MATLAB, Tableau and TIBCO Spotfire


Statistics and Data Analysis

Co-Chairs:   Kristen Harrington
                     Nat Wooding

Presentations in the Statistics and Data Analysis section address ways of transforming raw data into useful information that uncover important relationships and patterns in data to help gain insights for effective, data-driven decision-making. Papers do not need to present new statistical methods, although such topics are always welcome. Presentations are sought that involve the application of methods that many users of SAS statistics may not commonly see, such as methods for categorical, longitudinal, or censored data. Methods to facilitate analysis of very large data arrays, such as those that result from genetic studies or national surveys, are also sought for this section. Topics in this section should be of interest to a broad spectrum of SAS practitioners including analysts, developers, statisticians, data scientists, and DATA step programmers.


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