While restaurant data analytics aren’t some form of a silver bullet that’s going to significant improve your revenue, they can present you with actionable and robust insights that can help you make important business decisions.
Let’s see an example, evaluating sales metrics like sales per server can help you identify staffing issues that may be affecting your restaurant revenue. If a server generates the same amount of revenue throughout the week, and only certain hours bring a revenue dip, data analytics will be able to tell you where losses happen, and where you might be able to benefit from additional manpower. Awesome, right?
Likewise, analysis of the data from your system can be used to identify why certain items sell good, who ordered what and how much of it, and other front-of-house insights. This can be used to improve your menu, as, if you evaluate what entries are being ordered in what amounts, you can introduce more of such items on the menu.
Also, you can gain an understanding of what menu categories – from entrees and appetizers to beverages and side items are most popular, which can help you decide which items you should highlight in your sales and marketing campaign.
Truly competitive restaurants are utilizing analytics solutions for a variety use cases, including: