Description

Everybody loves a good data story, but the question is how you build a data mart to make the most impactful visualization to tell your story.

In this session we will talk about building data marts optimized for visualization. We will explore techniques for cleansing and transforming data to create a unified view for data visualization. We will explore different visualization tools and their limitations and data systems in the AWS and Azure cloud.

Learning Outcomes

- Learn about creating a visualization data mart

- Learn about hosting the data mart in the AWS/Azure Cloud

- Explore few reporting tools that can help with Data Cleansing and transformation

Presented by:

Maushumi Mavinkurve, Vice President, Innovation and Analytics, Planned Parenthood of New York

Jay Kesavan, Head of Analytics, Bowery Analytics

Jay is the Co-founder of Bowery Analytics where he designs large scale human capital management and marketing systems for Fortune 100 companies such as L'Oréal, Whirlpool and Non Profits such as Open Society Foundation, American Chemical Society and New York State Health Foundation.  He has helped design Master’s Program in HCM at NYU and currently teaches HR Analytics and Visual Story Telling at NYU.