AWS Business Intelligence Blog
Category: Retail
Traeger Grills’s Customer Experience team drives customer satisfaction significantly using Amazon QuickSight
Traeger Grills invented the Original Wood-Fired Grill over 30 years ago in Mt. Angel, Oregon. We make it easy for home cooks to create delicious wood-fire flavored meals, and have enhanced our grill products by selling a variety of merchandise, from wood pellets and accessories to meals, seasonings, and T-shirts. Traeger Grills’s Customer Experience team is responsible for order management, customer service, and technical support for customers and commercial partners like The Home Depot, ACE Hardware, and Amazon. In this post, we discuss how Traeger Grills’s Customer Experience team uses Amazon QuickSight for data insights, helping drive customer satisfaction score from approximately 72% to 93%, and improved our first call resolution number from about 40% to 75%.
How Amazon QuickSight empowered Treez to build an industry-leading analytics product at a lower cost
Treez is a leading provider of enterprise point of sale (POS) software for the regulated cannabis retail industry, serving thousands of customers. It’s a young industry with a large proportion of small businesses operating within it, and they work in a complex environment of regulatory scrutiny and change. In this post, we discuss how we built an embedded business intelligence (BI) dashboard system in our POS offering for our customers and their own internal staff using Amazon QuickSight.
How Dafiti made Amazon QuickSight its primary data visualization tool
This is a guest post by Valdiney Gomes, Hélio Leal, and Flávia Lima from Dafiti. In this post, we discuss why we chose Amazon QuickSight and how we implemented it. Data and its various uses is increasingly evident in companies, and each professional has their preferences about which technologies to use to visualize data, which […]
How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight
This post is co-written with Olivia Michele and Dariswan Janweri P. at Ruparupa. In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue, Apache Hudi, and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the […]