May 7, 2020
Data News Roundup – Thursday, May 7th, 2020
Between March and October, we’ve witnessed just how fast time moves. Before we know it, holiday songs will be playing on the radio and you’ll be rewatching your favorite Hallmark films. For e-commerce and retail, the upcoming holiday season is not only the most wonderful time of the year, but the most prosperous. In this current climate where shoppers are opting for an online shopping experience rather than trips to the store, how are they to optimize sales analytics to gain a competitive advantage?
In a live webinar on October 22nd, the experts from AtScale and Wayfair will show you how e-commerce leaders are using sales analytics to unlock additional revenue and stay on top this holiday season.
What Will You Learn?
In this live webinar, you will 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
And much more!
Register now to learn how to make data a competitive advantage for your organization.
Date/Time:Thursday, October 22nd, 2020
About Wayfair:
Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 18 million items across home furnishings, decor, home improvement, housewares, and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery.
About AtScale:
The Global 2000 relies on AtScale – the intelligent data virtualization company – to provide a single, secured and governed workspace for distributed data. The combination of the company’s Cloud OLAP, Autonomous Data EngineeringTM and Universal Semantic LayerTM powers business intelligence resulting in faster, more accurate business decisions at scale.
Related Reading:
The Practical Guide to Using a Semantic Layer for Data & Analytics