Big Data Statistical Visualisation: can everyone be a Data Scientist?

Presented by

Steve Ludlow, Principal Technology Specialist

About this talk

Utilising a real world example of consumption patterns of alcohol it is clearly shown how analytics and modelling can be made available to the masses without a requirement to learn to code. This democratisation of analytics and modelling allows far greater insight than a traditional Business Intelligence tool would deliver. Participants will leave the webinar with a clear idea of the skill sets a Data Scientist would require in this brave new world!

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (69)
Subscribers (16255)
In today's organizations, you need to get relevant data quickly to drive faster business decisions. With big data, sometimes that's easier said than done. SAS® Business Intelligence offers predictive insights with the ability to understand the past, monitor the present and predict outcomes, no matter the size or complexity of your data. In fact, SAS helps you deliver accurate, valuable information – from Hadoop or any other big data source. Plus, SAS offers an integrated, flexible presentation layer for the full breadth of SAS Analytics capabilities: data and text mining, statistics, predictive analytics, forecasting and optimization. One of the key components of SAS Business Intelligence, SAS Visual Analytics, offers self-service data discovery, enabling even nontechnical business users to explore billions of rows of data in seconds. With this tool, you can discover more opportunities and make more precise decisions, easily publishing reports to the Web and mobile devices.