A secure payment processing solution that provides access to validated P2PE, EMV payment gateways. Secure guest confidence and reduce your risk of data loss. Agilysys is a participant of the PCI Security Standards Council.
Thanks to next-generation analytics, the data for determining the right amenities for each guest is now at your fingertips, so you can create a profitable loyalty initiative. And target each guest with personalized marketing offers for campaigns you design.
Optimize seating regardless of your venue. From restaurants to cabanas, stadiums, and gaming tables, let your guests choose their preferred seats while you optimize space usage and maintain social distancing.
Manage the activities for any size property – from boutique and independent locations, to large resorts. Agilysys’ activity scheduling solutions are designed to improve staff communication and data-sharing, so you can focus on exceeding guest expectations.
An in-depth collection of product information and datasheets. Read about the latest in hospitality technology features designed to solve the challenges faced by hospitality professionals around the globe.
Analytics in Practice: 4 Types and How to Use Them
The term “Analytics” has been around for ages and although most operators the importance of using their data, most are not aware of how analytics have evolved with technology. There is an almost unlimited potential for operational improvement using analytics, but it can be hard to know how to use it or where to start.
The key to unlocking your analytics potential is understanding that there are different types for different purposes. Global Gaming Business magazine outlined four types in a recent article and today we cover how understanding and leveraging these types can help your business succeed.
A first step might be just looking at the data you have available. Most technology solutions today will give you basic summaries such as daily operational reports. This would be an example of descriptive analytics. It can be useful for operators to get an overview of the day or week and analyzing the data a little further can yield more value.
Working with your data and analyzing patterns helps answer important questions. For example, you want to know ‘Why did we have fewer guests last week than usual?’. Using diagnostic analytics, you might discover an underlying cause like a competitor’s extraordinary customer offer or inclement weather. Diagnostic analytics is useful when answering managers’ questions about why the operation is doing worse or better than expected. However, it is still focused on historical events and understanding what has already happened. Now let’s look ahead to the next type of analytics.
With the right kind of data analytics tool, aspects of future scenarios can be predicted. Looking at your existing data, the tool might predict how the business might perform next season or even how much a guest is expected to spend during their next visit. Using still newer, intelligent technology, such as machine learning, this process can become even more efficient and accurate.
The last and most advanced is prescriptive analytics. Using the existing data and based on the predictions it can uncover, these solutions are able to make recommendations that would help generate the best possible outcome. A simple example could be a weekend night in a restaurant where the manager is expecting the same number of guests as usual. A prescriptive analytics tool picks up on a pattern that suggests this weekend will be extra busy, and further recommends additional staff. As a result, the restaurant will be running smoother and generating more revenue.