On-Demand

The need for data scientists. A case for analytics democratization.

Using a GUI to increase analytic productivity

 Duration: 45 minutes

About the webinar

While many organizations increasingly cite the importance of analytics to make better decisions, this can be a difficult objective to deliver. Of course, you can simply hire more data scientists but what if you could increase the analytical productivity of your existing professionals? 

How many people within your organization wonder "Do I really have to become a programmer in order to make and use analytics?" This session offers ways to address & resolve this challenge. 

Also, Hans de Wit, Senior Data Scientist at Telenor Norge AS will share his experiences on how data science contributes to an optimal Customer Experience.

What you'll learn:

  • The role of GUI-based analytical tooling
  • How to maximize collaboration
  • The benefits of a modern analytic platform

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About the Experts


Paul Gittins
Principal, SAS Global Technology Practice

Paul is a seasoned architect with hybrid business and technical skills. He encourages clients to adopt new analytic technologies and their integration within the IT landscape. His role is to advise client enterprise architects, technologist and data scientists how to extend their use of analytics technology, leveraging partners including public Cloud providers and platform vendors including Cloudera, Oracle and Teradata. 

He has conducted architecture & best practice reviews and consulting engagements in more than 40 countries and has led multi-disciplinary teams to success in large and complex environments. Paul joined SAS in 2012 after a 27-year career with IBM in sales and technical roles including overseas postings to the US and China.


Hans de Wit
Senior Data Scientist at Telenor Norge AS

At Telenor Hans successfully applies AI and advanced analytics transforming multi-channel interaction into optimal customer experience for Telenor consumers. Since 2019 Hans has been involved to solve technology problems (Ran planning, etc). 

Hans worked 15 years at ING Group. He was key AI architect, designing and developing usage of analytics, supporting the customer-centric business strategy.

His goal: make company leaders understand the added value of AI & Analytics. Less “R-square”, ‘maximizing profits, sales and higher NPS’.


Alex Terado
Senior Associate Solutions Engineer, Financial Services, SAS

Webinar Host

Alex is a passionate advocate for analytically-driven decision making. Before joining SAS, he worked as a Data Analyst, and then as a Manager of Lead Generation and Analytics at an e-commerce startup. In his current role as a Solutions Specialist on the Financial Services team he creates awareness of SAS Viya, the next generation of the SAS platform, and enjoys discussing topics that range from business intelligence to model management and governance. He also holds a certification as an Associate Cloud Engineer from Google Cloud Platform.

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