The Relationship Between Data, Analytics, and Processes With Jay Bartot

Jay Bartot is the Co-founder and CEO of Zeitworks, an AI-powered business process intelligence platform that provides enterprises with the data-driven insights and tools they need to improve and transform their business process operations continuously. Zeitworks uses advanced machine learning and other technology to automatically discover and measure business processes to help unlock broken processes, identify bottlenecks, and make teams happier and more efficient.

Jay has over 20 years of experience as an entrepreneur and innovator. He has experience developing data and machine learning applications for a variety of verticals, including e-commerce, online advertising, travel, medical informatics, and consumer video creation.

In this episode:

How can you use data to improve your business processes? Can data improve your team's productivity and overall company performance?

If you have many business systems and processes, it can be challenging to measure and evaluate their efficiency over time. It can also be difficult to identify variances in behavior and productivity across your team. The solution, according to Jay Bartot, lies in data analysis. Data helps to provide transparency throughout your organization and also helps you identify your best performers, fix deviations, and ensure continuous process improvement.

In this episode of the Systems Simplified podcast, Adi Klevit interviews Jay Bartot, the Co-founder and CEO of Zeitworks, about the relationship between data, analytics, and processes. Jay discusses the benefits of continuous process improvement, explains how to determine the usefulness of the data you generate, and talks about using data analytics to improve business processes.