Mirus Reporter

2022 was a busy year for the Mirus team. We welcomed 10 new multi-unit restaurant clients with a total of over 1,000 locations. Our Development team rolled out a number of new features and improvements. While our Integrations team added several brand new restaurant software integrations to our ever growing integration list. Learn more about this year's new data integrations. 

For those following our irregular updates on the impact of Covid on restaurants, the world turned upside down for many in the past week. The picture below shows the last 7 days of Mirus Index. What do you think is going on?

The restaurant business is complex, much more so than customers would typically believe. We have lived through an explosion of new software tools that help restaurant operators manage this complexity and in the process they have created a new dilemma; understanding it all.

What's data integration and how is it leveraged?

Data integration is a process in which heterogeneous data (finance, marketing, operations, sales, customer, mystery shop, cleanliness, inventory, etc.) is organized and cleansed into a data warehouse. It is leveraged when it's accessible through a platform that allows it to be leveraged together to form meaningful and actionable reports.

What are some challenges restaurants face today?

Restaurant companies are drowning in data about their customers, operational execution, internal business processes, finances, suppliers, partners, and competitors. Many can't leverage this flood of data and convert it to actionable information for growing revenue, increasing profitability, and efficiently operating the business.

Why? Well, there are multiple reasons, here's two that come to mind:

Data collection is important but the quality of data for a restaurant enterprise is key to ensuring that it is used in the most productive way. Inaccurate and outdated data can affect overall productivity. When multiple sources of data are getting pulled into one database, duplicate and/or erroneous information can be inevitable.

Data cleansing is the process of finding and correcting flawed information from your restaurant company’s database. The process is mainly used where incorrect, incomplete, or irrelevant details are identified and then modified, swapped or cleared out. Data cleansing is important because it improves the quality of your data and in doing so, increases productivity, while simultaneously doing away with potential expenses, and helping to improve ROI. Managing and ensuring that the data is clean can provide significant business value and making decisions without being able to weigh them against a strong, valid set of data can hurt a restaurant business.

Successful Decisions

In today’s competitive marketplace, restaurant companies are seeking ways to become more competitive, more efficient, and more able to anticipate and meet their needs and the needs of their customers. Restaurants with a holistic view of their company, suppliers, and customers, and how those different areas interact with each other, are in a stronger position to make more successful decisions.

The Challenge

Restaurant companies generate a lot of data on a daily basis from all the systems they have in place. How you collect, organize, combine, analyze and distribute that data can have a big impact on the overall success of the business.

Mirus Restaurant Solutions is a leading provider of business intelligence and data warehouse services for the restaurant industry. The past 18 years have provided us with an enormous amount of educational experiences that have allowed us to fine tune and become the innovative company we are today. But just where did we come from and how has that shaped us? Let’s take a trip through time to see how Mirus began, what we’ve learned and how it’s made us who we are today.

The Beginning

It all started as a typical 1998 tech startup in Tampa, Florida. A small group of innovators lead by Brad Anderson formed The Sankaty Group. Like most offerings in the marketplace today, the product was developed as a solution to a problem. Anderson was working for one of his professors who had a consulting business. He was tasked with crunching a lot of numbers to help clients with menu engineering decisions. Using spreadsheets to get the job done proved to be extremely cumbersome. There had to be a better way.

So Anderson began to develop his own data warehouse product to make the task easier. When they weren’t playing softball, drinking beer or watching football the group was writing the initial code for what would become Mirus’ flagship product: Mirus Enterprise. The group was a unique blend of people from both the restaurant and technology communities with diverse backgrounds. In 2001 the Sankaty Group was acquired by Mirus.

Too Much Data

Restaurant companies collect a lot of data on a daily basis from all the systems they have in place. How they organize, combine, analyze and distribute that data can have a big impact on the overall success of their business. Certain restaurant companies seek help from outside sources. However, some business intelligence and performance management software can be complicated and difficult to use and understand, using jargon that’s meant for IT professionals. This isn’t very helpful for a financial analyst, for example, who needs specific information and has to report to executives waiting for answers to pertinent questions.

Furthermore, many of these BI alternatives aren’t capable of getting all the data from all the sources. Thereby only being partially helpful. So the Financial Analyst needs to fortify the missing information. He/she needs to piece the data together using the only other way they can think of: Excel.

Over time, especially as their business expands, they begin to realize this way of putting information together can not filter manual errors and is extremely time-consuming. Sometimes restaurant executives can spend all their time creating reports and be left with no time to review them. Additional challenges, as a result, can be:

What exactly is data mining? It’s the practice of examining large databases in order to generate new information that can make your restaurant business that much more successful. The data mining process identifies patterns and trends and enables restaurant operators to sort through useful information to quickly get answers to pertinent questions. Restaurant executives can use this information to increase revenues, cut costs, and decrease unnecessary risks in their business. Additionally, large databases contain hidden insights that can help your restaurants improve customer satisfaction, forecast sales and ensure the success of marketing initiatives.

The CTO Challenge: Labor

One of the many challenges of the restaurant CTO is to implement a reporting solution that can help lower labor costs and maximize profits. They’re tasked with integrating the latest technology, seeking the right platforms for their structure, drive success and create a competitive lead. The days of Excel spreadsheets are numbered. Ultimately, the CTO needs to find and recommend a platform that will aid restaurant executives in making the best decisions in operations and finance and developing strategies that provide a significant ROI. The CTO’s research and definitive recommendation of the suitable reporting tool is vital and can affect the productivity (or lack thereof) of all departments.