Tommy Yionoulis, a visionary entrepreneur and SaaS founder, takes on the daunting challenge of salvaging the crumbling Quiznos franchise by transforming their paper-based audit process into an automated system, uncovering the key to preventing million-dollar mistakes.

You will learn how to use operations management strategies to gain powerful insights and accelerate your business growth.

"I'm a vision guy. I'm not a detailed guy. I am forced to be a detailed guy just so we can keep moving the ball forward. I think my biggest personal strength, and I don't think I developed this, I think it's a personality type thing, is like, I look at, oh, I got to get to the top of Mount Everest, and I look at it as not, oh my gosh, how are we ever going to the top of Mount Everest."

Tommy Yionoulis is a former stand-up comic and SaaS founder who has extensive experience helping businesses become more efficient and profitable through process accountability and data.

He is the founder and Managing Director of Ops Analytica, an operations management platform that focuses on managing and measuring daily team activities for large multi-unit businesses.

Tommy Yionoulis was working at Quiznos and discovered that they were doing paper audits of their over 5000 locations. With no way to enter the data into excel, he built an online form connected to an Excel sheet to capture the data.

After leaving Quiznos, he was recruited to use his knowledge of operations management strategies to help build Broadcom's security software. He taught himself business process management and developed the strategy of building a Minimum Viable Process (MVP) in every data process.

He now works with large multilocation chains to help them capture operations data in real-time and use it to make better decisions. The data and insights from his SaaS solution have helped companies, such as a burrito chain, prevent million-dollar mistakes.

In this episode, you will learn the following:

• How did Tommy Yionoulis use technology to create an innovative solution for a multi-location business in 2008
• What is the importance of a minimum viable product and utilizing it in a business process workflow
• What are the benefits of using data and technology to make better decisions in a large multi-location business?
• What are operations management and the importance of making data-driven decisions
• If the whole purpose of using data is to make better decisions, why do businesses struggle to enforce that
• How operations management platforms can help drive predictability and success in a business
• What role does culture have to play in operations management
• What is data accuracy scoring, and why should we be examining this metric
• And much, much more ...