Events are dynamic, constantly changing and vary dramatically depending on locations, making it hard to track patterns of impact at scale
Data is complex and without large data science teams and BI tools such as Tableau, Observable and others, companies often struggle to accurately interrupt data and get the true value of datasets. Event data is no exception. Finding and making sense of relevant events manually is an inefficient and costly use of your team’s time. So many teams don’t have visibility into events that are coming up around them, creating a huge gap in planning and operations efforts.