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SAS FANS User Event on 22nd May at SAS in London

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Welcome to the SAS FANS User Event at SAS London on Thursday, 22nd May.

Welcome to join us in London on 22nd May, where we present two topics before pizza, refreshments and networking with other SAS experts and peers: 

  • Peter Hobart, SAS: Improving your data quality using the SAS DQ tools
  • Phoebe Ho & Alina Budnyuk, SAS: SAS Data Maker: Transforming analytics through high-quality synthetic data generation

Use this afternoon to connect with like-minded professionals, share experiences, and strengthen your connections.

Date and Time: Thursday, 22nd May, 4 p.m. - 7 p.m.
Venue: SAS Office, 10 Chiswell Street, London EC1Y 4xy

This event is for SAS customers, SAS associates, students and approved partners only.

Agenda

4:00 p.m. – 4:15 p.m.: Welcome

4:15 p.m. – 4:45 p.m.: Improving your data quality using the SAS DQ tools
(Peter Hobart, Senior Customer Success Manager, SAS)

SAS Viya has robust procedures for analysing and fixing data quality issues. The tools and support for multiple languages are included in almost all versions. They exploit the Quality Knowledge Base, a comprehensive set of lists and rules that enable SAS to (e.g.) intelligently handle misspellings and abbreviations.

SAS Studio Engineer goes further by including steps to generate DQ code through a simple interface, enabling a no-code approach.

This presentation covers:

  • Why data quality matters
  • Examples from the Quality Knowledge Base
  • The supported languages and locales
  • Querying the QKB to discover token types
  • Deterministic vs. probabilistic techniques
  • Key capabilities: Casing, Match Codes, Parsing
  • Creating and using a standardisation scheme
  • Overview of the Studio Engineer DQ steps


4:45 p.m. – 5:00 p.m.: Break

5:00 p.m. – 5:30 p.m.: SAS Data Maker: Transforming analytics through high-quality synthetic data generation
(Phoebe Ho, Data Scientist & Alina Budnyuk, Data Scientist, SAS)

Discover SAS Data Maker, our cutting-edge tool transforming organisations' analytics through high-quality synthetic data generation.

This session will provide an overview of synthetic data generation and discuss its use cases in various sectors. It will demonstrate how synthetic data can help organisations achieve their business objectives. A quick demo of SAS Data Maker will demonstrate how to put synthetic data generation into practice while ensuring data privacy and superior predictive analytics.

5:30 p.m. – 7:00 p.m.: Pizza, refreshments and networking

Attendance is free but limited. Secure your spot now to ensure you don't miss out on this unique opportunity to elevate your SAS proficiency and skills.

Register Now - Space is Limited!

Contact Us:

For inquiries and assistance, please email bettina.stibolt@sas.com

We welcome you to an evening of discovery, learning, and networking!

Register

This event is no longer available for registration.

 
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Our Experts

Peter Hobart
Sr Customer Success Manager, SAS

Peter has worked at SAS for 27 years in customer support, education, architecture, and now customer success.

Before joining SAS, Peter was the IT manager for a significant brewery's research laboratory. Peter has written several SAS courses and questions for the SAS certification exams, but spends most of his time answering customer questions and presenting at customer events.

Peter is a certified SAS advanced programmer, data integration developer, and SAS platform administrator. He is currently learning the new features of SAS Viya 4.

Phoebe Ho
Data Scientist, Customer Advisory Data Science, SAS

Phoebe Ho has been working in the Data Science and Analytics fields in various industries for 10+ years. She began her career as a Data Analyst to translate data into actionable insights, and transitioned into a Data Scientist to build predictive models for decision making.
 

As a Data Scientist at SAS, Phebe focuses on Natural Language Processing and Synthetic Data Generation. She is passionate about utilising data to add value to Businesses, and applying machine learning to predict the unknowns, which helps organisations to make data-driven decisions. .

Alina Budnyuk
Customer Advisory Data Science, SAS

Alina is a data scientist and mathematician with a passion for bridging complex technologies and human understanding. She joined SAS in 2025 as a data science intern in a customer-facing role, where she helps bridge the gap between advanced technology and user needs.

Her academic background spans both pure and applied mathematics, with research experience in mathematical biology, data science, quantum cognition, dynamical systems, and the natural applications of fractal dimensions. Alina’s MSc thesis focused on quantum cognition, reflecting her fascination with emerging interdisciplinary fields and intelligent systems.

Driven by a belief in an AI-powered future, she aspires to contribute meaningfully to the evolving landscape of science and technology.