On-demand webinar

Visual Analytics: Translating Business Questions into Calculations

In this session on Business Driven Calculations, you will learn how to perform some common calculations we often see from our customers to help answer questions and highlight data when we are meeting our targets, visualising running totals over time, percent of totals and YoY calculations.

We will also help you understand the different types of calculations in Tableau; basic, level of detail and table calculations, as well as learning about aggregate vs. non-aggregate. Finally we will share some resources to take your calculation learning to the next level.

This webinar is part of our Visual Analytics Series; check out the series page for more sessions.

Suitable for existing users who would like to get more out of the Tableau platform, and participants should have at least three months experience to fully benefit from the content.

About the speaker

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Steve Street

Principal Solution Engineer, Tableau

Steve Street is a Principal Solution Engineer at Tableau based out of Perth, Western Australia and has been immersed in data technologies and solutions for over 20 years. With a grounding in database technologies and data modelling Steve gravitated to reporting and analytics as a way to help business users support their decisions with information.

Steve has worked in the IT industry throughout his career, largely as a contractor in the UK and now based in sunny Perth in Western Australia. Having worked with many of the leading vendors in the BI space, Steve now works for the #1 Analytics platform Tableau. As a Principal Solution Engineer Steve’s role is to listen to customers and prospects and help them understand how analytics can help support and promote their business, enabling scalable self-service analytics across organisations of all sizes.

Steve also has the role of Technology Evangelist for Tableau, helping promote the benefits, both personal and organisational, of analytics, and how Tableau helps people see and understand data.

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