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August 23, 2022

MENA’s leading food company nurtures data-driven culture to deliver customer service at its finest

For the Americana Group, a leading Quick Service Restaurant (QSR) operator and food company in the Middle East region, people are central to its success. The group chose Microsoft Azure, Azure Synapse Analytics, Azure Data Factory, SQL Server Integration Services, Azure Analysis Services, and Power BI for their ecosystem to improve visibility and take data-driven decisions. The company’s finance, sales, revenue, HR, and operations teams can now take actions efficiently with all crucial data at hand, spending 80 percent less time on tedious administrative work. Customers also benefit from the streamlined workflow through better services and shorter wait times in the group’s restaurants

Restaurant Division - Americana Group

Founded in Kuwait in 1964, The Americana Group was the first food manufacturing and distributing company to introduce QSRs in the Middle East region. Today, with more than 2000 restaurants and 25 food production sites in countries such as the UAE, KSA, Kuwait, and Egypt, it remains at the forefront of the F&B industry.

Employee empowerment and ownership underlie its commercial success. "Many companies attach huge importance to technology," says Amarpal Sandhu, Chief Executive Officer at Americana. "We are more focused on the inside process—how we interact with people and what changes we bring.” In line with Americana’s guiding principle of 'Great People, Great Food = Great Company,’ the company equips teams with skills to deliver excellent customer service and make work rewarding.

An appetite for data

The Americana Restaurants leaders needed more insights into their business to improve strategic business decision making. "We wanted to transition to a fully data-driven organization to grow revenue, reduce losses, and serve customers better," begins Oksana Staniszewska, Chief People Officer at Americana. "To achieve that, we needed to empower people with a single source of truth, functional insights, and easy but secure access to information."

The sales and marketing teams had used enterprise business intelligence software for activity planning and management. However, it had limited analytics capabilities and lacked user dashboards with meaningful visuals of data. Without a centralized data warehouse as well, it failed to provide full visibility of the more than 2,000 restaurants managed by the company. "We now integrated Azure data warehouse with semantic layer so that anyone can use data through Self Service BI”" shares Navdeep Agarwal, Head of Business Intelligence. To make better use of data and achieve a single source of truth, the Business Intelligence team has built a cloud-based data modern warehouse based on Azure services.

Informed teams for data-driven decisions

To improve visibility and take data- driven decisions in various business functions, Americana started by implementing revenue analytics before moving on to other functions. It was important that the BI team introduced this component first in a bottomup approach to convince the leadership team of the project’s value. "First, we divided data from 14 sources into three categories: structured, unstructured, and machine learning use cases," explains Agarwal. "Then, we created 53 data pipelines, analyzed more than 60 business rules and over 100 measures such as the number of transactions, restaurant count,  or a food court footfall in each location." The scalability of this semantic model allows Americana to draw on more sources and metrics if needed. Agarwal says, “We can control each parameter from a single location, which means any change we implement can be applied to all 2000 restaurants in various countries in under 15 minutes.”

The stakeholders can login on the web or mobile application to see the results of each analysis via the 150 Power BI dashboards created till date. “The dashboard offers insights such as sales from particular channels, the best-and worst-selling food item, and the most profitable restaurants across all brands and markets” states Agarwal. "The stakeholder can also contact the BI support team about issues via an easily accessible help link. Consequently, we are capable of responding all the requests across the markets in an efficient and productive way.

Having this kind of data transparency makes work more effective for the financial planning and analysis team. Agarwal explains, "Just imagine— you can drill down from the holistic market/brand view of daily P&L statement to an individual restaurant or in some cases restaurant managers and identify the line item that can help optimize revenue.” In addition, the team has saved time by automating manual tasks with Power BI, allowing employees to focus on higher-value work. “Previously, it was next to impossible to evaluate 2,000+ balanced score sheets and accumulate all data by hand," says Agarwal. "Now, all tasks are achieved with a single click, consuming two minutes rather than a couple of days.”

Making data serve humans

The digital move has also helped Americana’s operations team improve customer experience by analyzing data. "When a customer visits a restaurant, we capture the speed of service time," says Melvin Michael, Brand Manager at Wimpy. "The Area Managers then receive an automated email showing how their restaurants rank against the thresholds for this KPI." This enables the team to see if they should improve waiting times and service efficiency metrics, which shapes the experience in-stores. "While BI cannot measure customer sentiment directly, it provides us with the required data to infer how customers might feel about certain things," says Michael.

For one of Americana’s flagship brands, the speed of customer service has now improved from about nine minutes to just over three minutes. “Customers now spend about five minutes less in a queue. Our order taking time has also decreased to under a minute on average,” Michael added.

Automation as a way forward

Each year, new data projects are launched in Americana, aimed to infuse automation and artificial intelligence into processes. Moving forward, the group plans to use predictive analytics for forecasting menu sales and optimizing discount and procurement analytics. Ultimately, all data-driven initiatives in the company have one aim in common—which is to help leaders and teams achieve better outcomes. "This transition is not only about data," concludes Agarwal. "We show people that they can use data to monitor and expedite their tasks. But the true value comes when they start changing their behavior and make informed decisions based on data."

“We show people that they can use data to monitor and expedite their tasks. However, the true value comes when they start changing their behavior and make informed decisions based on data.”

Navdeep Agarwal, Head of Business Intelligence, Americana Group – Restaurants Division

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