|Session Date/Time (dd-MM-YYYY 24h)||Speaker||Category||Track||Title|
|29-03-2017 17:00||Prathy Kamasani||Breakout Session (60 minutes)||Visualize & Inform||Compelling Visuals in Power BI|
|29-03-2017 18:00||David Moss||Breakout Session (60 minutes)||Analyze & Interpret||Power BI Twitter Brand Awareness Dashboard|
|29-03-2017 19:00||Koen Verbeeck||Breakout Session (60 minutes)||Analyze & Interpret||Hands-On Data Analysis With Power BI Desktop|
|29-03-2017 20:00||Jen Underwood||Breakout Session (60 minutes)||Visualize & Inform||Storytelling with Infographics|
|29-03-2017 21:00||Dean Abbott||Breakout Session (60 minutes)||Analyze & Interpret||Three Data Preparation Essentials for Predictive Modeling|
Event Date: 29-03-2017 17:00 - Category: Breakout Session (60 minutes) - Track: Visualize & Inform
Prathy will walk through how to use and format these visualisations to create compelling visualisations. <br> We will also look at how we can use R visualisations in Power BI with minimal knowledge of R.
Event Date: 29-03-2017 18:00 - Category: Breakout Session (60 minutes) - Track: Analyze & Interpret
David Moss Power BI Solutions Architect will show you how to summarise your live social media twitter streams in a single Power BI dashboard. <br> Visualising and monitoring live Twitter trends and comments can assist to control social insights by addressing social interaction when and where it arises, help monitor positive & negative sentiments on your Twitter feed and drill down into specific tweets to reach out to your customers to manage & control your social brand awareness. Even find engagement opportunities and discover influencers and monitor @brand mentions and #hashtags. <br> In this session you will learn about the Azure Power BI & Cortana Intelligence Suite architecture solution required for your Social Media Power BI dashboard. <br> An exciting technical social media marketer’s brand awareness toolset.
Event Date: 29-03-2017 19:00 - Category: Breakout Session (60 minutes) - Track: Analyze & Interpret
Event Date: 29-03-2017 20:00 - Category: Breakout Session (60 minutes) - Track: Visualize & Inform
Event Date: 29-03-2017 21:00 - Category: Breakout Session (60 minutes) - Track: Analyze & Interpret
This session focuses on three essential steps in data preparation, taking into consideration the data itself and how algorithms sometimes dictate the kinds of data preparation we do. The principles apply not only to predictive models, but also to data visualization and dashboards. Examples from actual modeling projects will illustrate the principles.