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.
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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
- 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?
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
- 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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