Operational Analytics To Increase Efficiency For Multi-Location Businesses With OpsAnalitica
Data Engineering Podcast
00:00
Food Service
In terms of the food service production, wondering what are some of the other types of inefficiency that these businesses are contending with. And how those inefficiencies can compound across multiple locations as you scale the business. So at the store level, it's all about taking the guesswork out of running the business. But once you move up one level, so that in e star box or a typical corporate own chain, you're gong to have one district manager for something around tenish stores.
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Summary
In order to improve efficiency in any business you must first know what is contributing to wasted effort or missed opportunities. When your business operates across multiple locations it becomes even more challenging and important to gain insights into how work is being done. In this episode Tommy Yionoulis shares his experiences working in the service and hospitality industries and how that led him to found OpsAnalitica, a platform for collecting and analyzing metrics on multi location businesses and their operational practices. He discusses the challenges of making data collection purposeful and efficient without distracting employees from their primary duties and how business owners can use the provided analytics to support their staff in their duties.
Announcements
- Hello and welcome to the Data Engineering Podcast, the show about modern data management
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- Your host is Tobias Macey and today I’m interviewing Tommy Yionoulis about using data to improve efficiencies in multi-location service businesses with OpsAnalitica
Interview
- Introduction
- How did you get involved in the area of data management?
- Can you describe what OpsAnalitica is and the story behind it?
- What are some examples of the types of questions that business owners and site managers need to answer in order to run their operations?
- What are the sources of information that are needed to be able to answer these questions?
- In the absence of a platform like OpsAnalitica, how are business operations getting the answers to these questions?
- What are some of the sources of inefficiency that they are contending with?
- How do those inefficiencies compound as you scale the number of locations?
- Can you describe how the OpsAnalitica system is implemented?
- How have the design and goals of the platform evolved since you started working on it?
- Can you describe the workflow for a business using OpsAnalitica?
- What are some of the biggest integration challenges that you have to address?
- What are some of the design elements that you have invested in to reduce errors and complexity for employees tracking relevant metrics?
- What are the most interesting, innovative, or unexpected ways that you have seen OpsAnalitica used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on OpsAnalitica?
- When is OpsAnalitica the wrong choice?
- What do you have planned for the future of OpsAnalitica?
Contact Info
Parting Question
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
Closing Announcements
- Thank you for listening! Don’t forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.
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Links
- OpsAnalitica
- Quiznos
- FormRouter
- Cooper Atkins(?)
- SensorThings API
- The Founder movie
- Toast
- Looker
- Power BI
- Pareto Principle
- Decisions workflow platform
The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA
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