Join us for an inspiring afternoon at the SAS London office, where SAS users and experts come together to dive into practical techniques, share real-world experiences, and connect with peers—followed by pizza, refreshments, and networking.   Date & Time: Thursday, 21 May, 16.00 - 19.30. Venue: SAS Office, 10 Chiswell Street, London EC1Y 4xy   16.00 – 16.15  Welcome and Opening Remarks, by Frans Holm   16.15 – 16.45  Using SAS Enterprise Guide to Advance into Statistics for Decision-Making Support   David Shannon, Head of EMEA Channels Customer Advisory   This session shows how SAS Enterprise Guide Tasks are used for modelling and decision making. We will explore ANOVA, Linear and Logistic regression, Time Series and Survival Analysis and how these methods deliver informed decision making.  Attendees will see how to build models without heavy coding yet maintaining transparency and repeatability.   16.45 – 17.00 Break   17.00 – 17.30  Smarter Access to Open Data: Duck DB Integration with SAS   Lume Enahoro, Customer Advisory Technology Northern Europe   Modern analytics teams rely heavily on open data formats like Parquet, JSON, and Delta Lake but accessing them efficiently at scale has been a long‑standing challenge. In this session, we introduce SAS/ACCESS Interface to DuckDB, a high‑performance, in‑process query engine now embedded directly in SAS Viya. Participants will learn how SAS uses DuckDB to deliver faster ingestion, lower storage costs, seamless access to open formats, and improved interoperability with Python and other ecosystems. We’ll demonstrate how SAS Viya can query open data where it lives, avoid heavy ETL, and unlock new workflows for multi‑file datasets, JSON processing, and cost‑optimized storage. If you want a future‑proof, open, and lightning‑fast approach to data access, this session is for you.   17.30 – 18.00 Kicking the Tyres on sasviya.ml: Python Programming Backed by SAS Algorithms   Michael Walshe, Principal Consultant, Katalyze Data   Introduction to the sasviya python package, available in SAS Viya and SAS Viya Workbench, and the sasviya.ml module Demo of features, example use-cases Comparison with sklearn, feature set, metrics, and performance Overview of my experience getting firsthand on sasviya.ml, what it is and what it is not   18.00 – 19.30 Pizza, refreshments and networking   Register and meet up to exchange ideas with like-minded professionals, learn from SAS experts, and strengthen your professional network.   Changes in the agenda might occur.   If you would like to give a presentation at the Network Meeting, please contact Pia Skare Rønnevik.   This event is exclusive to SAS customers, SAS associates, and approved partners.   Registration   Want to secure invitations to future FANS events in the UK and Ireland? Subscribe to become a FANS member! ... View more

Join us for an inspiring afternoon at the SAS London office, where SAS users and experts come together to dive into practical techniques, share real-world experiences, and connect with peers—followed by pizza, refreshments, and networking.   Date & Time: Thursday, 19 March, 16.00 - 19.00. Venue: SAS Office, 10 Chiswell Street, London EC1Y 4xy   Register and meet up to exchange ideas with like-minded professionals, learn from SAS experts, and strengthen your professional network.   16.00 – 16:15 Welcome and Opening Remarks   16.15 – 16.45 Power Techniques in SAS: Functions, Regex, and Arrays   Pia Rønnevik, Customer Success Manager, SAS   Power Techniques in SAS: Functions, Regex, and Arrays explores some of the most efficient and versatile tools available to SAS programmers. This session demonstrates how advanced SAS functions streamline data manipulation, how Perl Regular Expressions (PRX) unlock powerful pattern‑matching capabilities and how arrays enable fast and elegant processing of repetitive tasks. Through practical examples, attendees will learn how combining these techniques can significantly improve code efficiency, readability, and performance - making everyday programming tasks smarter, faster, and more flexible.   16.45 - 17.00 Break   17.00 - 17.30 The Open Shop: How I Learned to Stop Exporting CSVs and Love the Viya Ecosystem   Alina Budnyuk, Data Scientist, SAS   In this session, we’ll shatter the myth that SAS is a closed system and demonstrate how SAS Viya acts as the ultimate multilingual engine. You’ll see a live "day-in-the-life" workflow: from coding in SAS Studio to building hybrid pipelines in Model Studio using custom nodes. We’ll also show how to stay in your favourite IDE while leveraging the massive scale of the Viya CAS engine. Finally, we’ll look at Viya Workbench, the future of developer flexibility.     17.30 - 19.00 Pizza, refreshments and networking   Changes in the agenda might occur.   If you would like to give a presentation at the Network Meeting, please contact Pia Skare Rønnevik.   This event is exclusive to SAS customers, SAS associates, and approved partners.   Registration   Want to secure invitations to future FANS events in the UK and Ireland? Subscribe to become a FANS member! ... View more

Join us for an inspiring afternoon at the SAS London office, where SAS users and experts come together to dive into practical techniques, share real-world experiences, and connect with peers—followed by pizza, refreshments, and networking.   Date & Time: Thursday, 21 May, 16.00 - 19.00. Venue: SAS Office, 10 Chiswell Street, London EC1Y 4xy   Register and meet up to exchange ideas with like-minded professionals, learn from SAS experts, and strengthen your professional network.   16.00 – 16.15 Welcome and Opening Remarks   16.15 – 16.45 Download/send files from SAS 9 and Viya to Microsoft 365 Daniel Ringqvist, Nordic User Group Manager   Users will learn how to easily move files between SAS and Microsoft 365 - downloading reports, sending outputs to SharePoint or Teams, and automating routine deliveries - so they can work faster, collaborate better, and eliminate manual steps.     16. 45 – 17.00  Break   17.00 – 17.30 More Signal, Less Noise: Synthetic Data for Model Accuracy   Alina Dudnyuk, Data Scientist, SAS   Imbalanced data remains a persistent hurdle in predictive modeling, particularly in credit risk where default events are rare but critical. This session demonstrates how synthetic data techniques, specifically SMOTE within SAS Studio, can bridge the gap in rare-event scenarios. We will walk through practical, end-to-end workflows to generate and validate synthetic samples while measuring their direct impact on model accuracy. Crucially, we’ll move beyond the math to address the ModelOps perspective -integrating synthetic data as a governed, operationalized component of the analytics lifecycle. Attendees will learn to improve model robustness while avoiding common pitfalls like overfitting, leaving with a blueprint for building production-ready models in data-scarce environments.     17.30 – 19.00 Pizza, refreshments and networking   Changes in the agenda might occur.   If you would like to give a presentation at the Network Meeting, please contact Pia Skare Rønnevik.   This event is exclusive to SAS customers, SAS associates, and approved partners.   Registration   Want to secure invitations to future FANS events in the UK and Ireland? Subscribe to become a FANS member!   ... View more