Live Webinar

New Features of Visual Analytics 8.5

June 2 • 10 a.m. BST • Cost: Complimentary

About the webinar

Visual Analytics 8.5 is the smartest BI product on the market. In this webinar, we will show how Visual Analytics 8.5 delivers unprecedented self-service to consumers with all the required governance over data and reports. Using the new Software Development Kit (SDK) we enable customers to embed smart insights into their websites and web apps.

Join us as we delve into the great new features in Visual Analytics 8.5

What you'll learn:

  • Prepare your data with built-in AI for suggestions and automation
  • Apply design best practices with page templates
  • Engage in “What-If” predictive analysis
  • How to embed Visual Analytics reports and objects on your own web sites

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About the Experts

Steve Ludlow

Steve Ludlow
Data Scientist
SAS UK & Ireland

Steve has significant SAS expertise gained from over 29 years at SAS. He has during this time engaged with most of the major organisations in the UK.

Prior to joining SAS Steve was a Senior Research officer at the LSE – working for Nick Stern (now Lord Stern) on Taxation Theory in Developing Countries. It was during this post-doctoral work that Steve was introduced to SAS and he liked the software so much he joined the company! During his 29 years Steve has undertaken a variety of roles – technical support, training, consulting, pre-sales and management.

Steve is a frequent speaker at conferences particularly on Big Data and Analytics. He is currently investigating and speaking on Open Source integration with SAS (Python, R, Lua, JSON, Java…). Steve is a graduate of Leicester and Oxford University – where he worked on Econometric Models of the Common Agricultural Policy.

Sander Van den Bergh

Sander Van den Bergh
Data Scientist
SAS UK & Ireland

Sander is a data scientist at SAS. He completed the onboarding programme in Cary, NC and is now working for SAS in the UK.

He holds a MSc in Marketing Analytics from the University of Southampton.

As part of the Data Science team he tries to enable customers in the field of Machine Learning and AI.

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