As the Sphere shut its tired eyes on AWS re:Invent 2023, our team at Lovelytics is excited to share a quick-hit recap of the most relevant highlights from the intersection of cutting-edge technology and data empowerment. 1. Keynote Highlights: AWS re:Invent kicked off with a visionary keynote, emphasizing the role of data in shaping the … Read more

Photo Courtesy of Philadelphia Union Innovations In Analysis Innovations and advancements in technology have provided a way to gather real-time precise data points during any sporting event. The result is better insights into hundreds if not thousands of variables that might give a team a strategic advantage on the field and in the team’s back office as … Read more

Has your organization recently deployed Tableau Mobile or is planning to deploy soon? Not sure how to optimize all your existing Tableau dashboards for mobile devices? Then keep reading for tips and tricks on making your desktop dashboards mobile-friendly! You may be thinking, “Wait, I thought Tableau automatically created dashboards that would look great on … Read more

Written by: Alyssa Williams We use data and analytics every day to answer those “W” questions: Who purchased our new product? Which carrier has the best on-time delivery record? What customer segment drove our change in sales? But how often are you faced with a “Where” question and you’re unable to find a quick and … Read more

Lovelytics, a Gold Sponsor at this year’s Tableau Conference 2022 , is being well represented by our best and finest data visualization consultants. With a Tableau Visionary (formerly Zen Master), Tableau Ambassadors and frequent contributors to enable and support the overall Tableau Community, we are excited and proud to have Chantilly Jaggernauth, Agata Ketterick, Sekou … Read more

One feature of tableau prep is the ability to help with data cleansing. Data cleansing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset, table, or database and refers to identifying incomplete, incorrect, inaccurate, or irrelevant parts of the data and then replacing, modifying, or deleting the dirty … Read more