Coding
Discover a mix of tips and tricks you can bring into your organization no matter what tool you use to code in SAS.
31 March 2022, 12:00 BST / 13:00 CEST / 14:00 EEST
(Get Curious; Gain Insights; Make Better Decisions)
SAS Assemble is your opportunity to join the largest gathering of SAS professionals across the Nordics and UKI. Learn, explore and network to gain the latest analytics insights and skills to advance your organization and career.
Analytics puts you in the driver’s seat, it enables sound insights, confident decision making, and better results. So, get curious and join SAS Assemble to learn about the latest trends and topics that matter most to you.
About SAS Assemble
What will you explore with your curiosity?
Join our virtual event for free and discover a wide selection of sessions.
AI & Analytics
Explore what’s new in the broad scope of analytics from defining responsible AI to streamlining model management and showcasing your analytics through visualizations.
Get Future Ready
Learn the latest trends and pick the topics that matter to you from the diverse array of sessions for every role and skill level.
Customer Stories
Connect, network and gain insights from others using SAS in their organization.
AGENDA
BST 12:00-15:00 (UKI)
CEST 13:00-16:00 (Denmark, Norway & Sweden)
EEST 14:00-17:00 (Finland)
BST 12:00 – 12:25
CEST 13:00 – 13:25
EEST 14:00 – 14:25
Plenary
Dr. Hannah Fry, Associate Professor in the Mathematics of Cities at the Centre for Advanced Spatial Analysis at UCL
BST 12:30 – 13:00
CEST 13:30 – 14:00
EEST 14:30 – 15:00
Stream 1 | Coding
BST 12:30 – 13:00 / CEST 13:30 – 14:00/ EEST 14:30 – 15:00
Using Data Quality in SAS
Barbara Olsen - Principal Technical Training Consultant - SAS
Ole Steen - Senior Principal Consultant - SAS
Stream 2 | AI & Analytics
BST 12:30 – 13:00 / CEST 13:30 – 14:00/ EEST 14:30 – 15:00
Interpretability in SAS
Niall Larkin, Data Scientist - SAS
Stream 3 | Get Future Ready
BST 12:30 – 13:00 / CEST 13:30 – 14:00/ EEST 14:30 – 15:00
Why Cloud? A User's Perspective
Casper Pedersen, Head of Technology Partners EMEA, SAS
Rebecca Grüner Hansen, Data Scientist , SAS
Stream 4 | Customer Stories
BST 12:30 – 13:00 / CEST 13:30 – 14:00/ EEST 14:30 – 15:00
Posten Norway Environmental Reporting - Towards ambition of zero CO2 emissions with SAS
Linda Runesson, Project Manager Sustainability - Posten & Bring
Anna Aristova, Technical Architect Data Mgmt - Tietoevry
Mitesh Bhosale, Senior Consultant Data Mgm - Tietoevry
BST 13:00 – 13:10
CEST 14:00 – 14:10
EEST 15:00 – 15:10
Break
BST 13:10 – 13:40
CEST 14:10 – 14:40
EEST 15:10 – 15:40
Stream 1 | Coding
BST 13:10 – 13:40 / CEST 14:10 – 14:40/ EEST 15:10 – 15:40
Turbocharging your code with Proc Python
Prathiba Krishna, Data Scientist - SAS
Stream 2 | AI & Analytics
BST 13:10 – 13:40 / CEST 14:10 – 14:40/ EEST 15:10 – 15:40
AIOps - Supercharge your AI Deployments
Kyriakos Fistos, Data Scientist - SAS
Stream 3 | Get Future Ready
BST 13:10 – 13:40 / CEST 14:10 – 14:40/ EEST 15:10 – 15:40
Modernise Your SAS Programming Environment
Barney Brock, Customer Success Manager - SAS
Stream 4 | Customer Stories
BST 13:10 – 13:40 / CEST 14:10 – 14:40/ EEST 15:10 – 15:40
Geographical visualizations in SAS VA 8.5
Andreas Wiwe, BI developer/Special consultant - Aarhus Municipality
BST 13:40 – 14:10
CEST 14:40 – 15:10
EEST 15:40 – 16:10
Stream 1 | Coding
BST 13:40 – 14:10 / CEST 14:40 – 15:10/ EEST 15:40 – 16:10
How to use Git with your SAS projects
Chris Hemedinger, Sr Manager, SAS User Engagement - SAS
Stream 2 | AI & Analytics
BST 13:40 – 14:10 / CEST 14:40 – 15:10/ EEST 15:40 – 16:10
Responsible AI in practice
Josefin Rosén, AI & Analytics Lead Nordics - SAS
Stream 3 | Get Future Ready
BST 13:40 – 14:10 / CEST 14:40 – 15:10/ EEST 15:40 – 16:10
Moving from SAS Enterprise Guide to SAS Studio on Viya
Paul Jones, Head of Technology - SAS
Stream 4 | Customer Stories
BST 13:40 – 14:10 / CEST 14:40 – 15:10/ EEST 15:40 – 16:10
Proc Network for Network Analytics/Graph Theory
Hans de Wit, Senior Data Scientist - Telenor
BST 14:10 – 14:20
CEST 15:10 – 15:20
EEST 16:10 – 16:20
Break
BST 14:20 – 14:50
CEST 15:20 – 15:50
EEST 16:20 – 16:50
Stream 1 | Coding
BST 14:20 – 14:50 / CEST 15:20 – 15:50/ EEST 16:20 – 16:50
Using SAS to Create Excel Spreadsheets with built in links to other Sheets
Simon Arnold, Principal Specialist Education Consultant - SAS
Stream 2 | AI & Analytics
BST 14:20 – 14:50 / CEST 15:20 – 15:50/ EEST 16:20 – 16:50
Advanced Visualisations and Building Web Applications using SAS Visual Analytics
Mark Geldart, Sr Technical Training Consultant - SAS
Stream 3 | Get Future Ready
BST 14:20 – 14:50 / CEST 15:20 – 15:50/ EEST 16:20 – 16:50
Modernizing your Data Management to Viya
Rajeeve Narula, Data & Analytics Engineering - SAS
Stream 4 | Customer Stories
BST 14:20 – 14:50 / CEST 15:20 – 15:50/ EEST 16:20 – 16:50
Identification of Drugs Trafficking through Open Source Intelligence
Olli Aro, Principal Solution Architect, SAS
BST 14:50 – 15:00
CEST 15:50 – 16:00
EEST 16:50 – 17:00
Joint Closing
* angefragt
Who should attend
Coders and practitioners
Learn, explore, and network around all the latest trends and topics that matter to you, the SAS user, including Programming and Data Management. Sessions will contain a mix of news, tips and tricks.
Students and Professors
Network with peers and seasoned SAS practitioners. Explore the SAS universe and get inspiration for future career opportunities.
New to SAS
We’ve compiled some great sessions for SAS newbies. Find out what we do and hear from some of our customers about how we’re helping them to increase productivity, improve decision making, become more ethical and achieve better results.
Analysts
No matter how you work to interpret and embrace big data and analytics, we will bring you up to speed on the latest software and show you new ways to use it. Pick up some top tips when coding, using advanced analytics and reporting on output.
Business Intelligence Developer
For those responsible for Visualization with SAS in their organizations - either for business use or as an administrator. Get information about news in SAS Visual Analytics and other visual tools and learn how others use the software.