In this episode of The Disruptor Podcast, host John Kundtz interviews Caitlyn Truong, CEO and Co-founder of Zengines.
This show explores how Zengines disrupts organizations' efforts to automate the end-to-end data conversion process.
Caitlyn shares information from her background in electrical and computer engineering and consulting. She often saw the problems with data conversion and migration in large organizations, especially in financial services.
This led her to co-found Zengines to help ensure data stays useful during modernization.
Key points from their discussion
- Understanding Data Migration: It includes all steps to get a new system running, from getting the data mapped and moved to post migration testing.
- Common Pitfalls: Not accounting for all the steps, lack of a plan, not using tools, and not underestimating the work effort.
- Advice for Smoother Migration: Understand all the steps, plan clearly, use tools (especially AI), empower business analysts, and work in steps.
Zengines' Disruptive Way
- Zengines gives business analysts AI tools to automate mapping and changing data.
- This "shift left" approach reduces the need for large teams, making data conversion faster and more efficient by letting the business directly influence data changes.
- This approach moves the work earlier in the process, making data conversion less expensive, more productive, and quicker by letting the business directly affect how data is changed.
Stay tuned for Part 2 of this conversation, where Caitlyn and John shift gears and explore the challenges many enterprises face with Mainframe Modernization.
Listen to the full episode