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ID: 896

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PASS Marathon: Predictive Analytics Edition 2018

Session Date/Time (dd-MM-YYYY 24h)	Speaker	Category	Track	Title
08-05-2018 20:00	Dean Abbott	Breakout Session (60 minutes)	Advanced Analytics	Turning Membership Surveys into Action with Predictive Analytics
08-05-2018 21:00	Brad Llewellyn	Breakout Session (60 minutes)	Advanced Analytics	Four Paths to Data Science Success using Microsoft Azure
08-05-2018 22:00	Carlos Bossy	Breakout Session (60 minutes)	Advanced Analytics	Predictive Analytics Solutions using R and SQL
08-05-2018 23:00	Daniel Cai	Breakout Session (60 minutes)	Advanced Analytics	Using SSIS to Prepare Data for Analytics
09-05-2018 00:00	Yana Berkovich	Breakout Session (60 minutes)	Advanced Analytics	Azure Machine Learning Studio and PowerBI

SessionID: 82204

Turning Membership Surveys into Action with Predictive Analytics

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Event Date: 08-05-2018 20:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Dean Abbott

Title: Turning Membership Surveys into Action with Predictive Analytics

Description:

Matching predictive analytics solutions to business needs can present significant challenges for data scientists, often because models and data visualization are not always readily understandable except for analysts steeped in technology. This talk describes a real-world survey analysis solution that began with the best of intentions, but did not resonate with the business stakeholders. A second solution is described, showing a far more understandable solution that provided far greater interperation of the survey results.

SessionID: 82202

Four Paths to Data Science Success using Microsoft Azure

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Event Date: 08-05-2018 21:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Brad Llewellyn

Title: Four Paths to Data Science Success using Microsoft Azure

Description:

Many organizations are beginning to understand they are sitting on a gold mine of data. Some already have data science teams, while others are struggling to get started. In this architectural session, we'll step into the shoes of Contoso Beverage Company as we explore some of the different options available for tackling our data science needs, including Power BI, Cortana Intelligence Suite and HDInsight. Dig out your compass and lace up your boots, because the world of data science just got a whole lot bigger!

SessionID: 82203

Predictive Analytics Solutions using R and SQL

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Event Date: 08-05-2018 22:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Carlos Bossy

Title: Predictive Analytics Solutions using R and SQL

Description:

The practice of Data Science has arrived and as data professionals we're on the forefront of this change. The data we collect can now be used in new and exciting ways, providing more value than ever before. To get started in this field, a number of tools and methodologies must be employed to help you achieve predictive analytics success with your data. In this session, we will start by providing an introduction to R, a foundation programming language for data scientists. Carlos will then cover predictive analytics using T-SQL and R, providing a practical understanding of what it takes to develop your own predictive models making the most of the expertise you already have. The session includes an overview of definitions, concepts and terminology, successful applications of predictive analytics, and how predictive analytics fits into a BI environment.

SessionID: 82209

Using SSIS to Prepare Data for Analytics

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Event Date: 08-05-2018 23:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Daniel Cai

Title: Using SSIS to Prepare Data for Analytics

Description:

This session will demonstrate how to use SSIS to bring data form multiple sources into your analytics engine. It will explore SSIS best practices to use to properly prepare data and other scenarios you can use within your own SSIS development to get the most out of SSIS and your data.

SessionID: 82114

Azure Machine Learning Studio and PowerBI

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Event Date: 09-05-2018 00:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Yana Berkovich

Title: Azure Machine Learning Studio and PowerBI

Description:

There are so many tools for data analysis and prediction. Let's explore the Azure ML lab vs PowerBI, how can each of them be used? What are their differences?

In this session you will learn the differences between loading data in the Azure ML Lab vs into PowerBI. We will discuss the cleansing of data in both tools, as well as analyzing existing data (the OOTB for each tool). We will then build a simple prediction model and summarize and compare the results.