
How to Optimize Sales Analytics Using 10X the Data at 1/10th the Cost
About This Event
Learn the techniques Wayfair uses to make data a competitive advantage
Being able to analyze sales at the most granular level with up-to-date data, provides a competitive advantage for unlocking additional revenue — especially for e-commerce and retail companies heading into the holiday season.
Matt Hartwig, Wayfair’s Data Infrastructure Product Lead, will walk you through the techniques his team uses to optimize their sales analytics and forecasting to maintain their position as an e-commerce leader.
Learn how to:
- Perform period-to-period sales and customer comparisons, store vs. region calculations, and get unique customer counts on billions of rows of data
- Add new dimensions and hierarchies for drill-down analysis in seconds
- Build What-If analyses (OLAP) 20x faster
- Analyze near real-time data for more accurate key performance indicators (KPIs)
- Trust that KPIs are being reported consistently across BI tools through a self-serve data service
Who should attend:
Speakers:
Matt Hartwig, Data Infrastructure Product Specialist, Wayfair
Matt is the Product Lead within Wayfair’s infrastructure organization where he leads a team focused on the data and technologies the company relies on. Matt has extensive product management, BI/analytics engineering, and Financial Operations Analysis experience including time Verifone and Curb.
Dave Mariani, Co-Founder and Chief Strategy Officer, AtScale
Dave is one of the co-founders of AtScale and is the Chief Strategy Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.
