Do you know exactly where your critical data originates, how it transforms, and where it travels throughout your organization?
We're excited to share that our CEO, Caitlyn Truong, was recently a guest on The Lights On Data Show with host George Firican, revealing why data lineage is such a critical, yet often overlooked, aspect of data management.
What you'll discover in this episode
- The true definition of data lineage and why it's a critical component for regulatory compliance, transparency, and operational efficiency
- 5 Essential Steps for Successful Data Lineage Implementation:
- Be clear on use case and scope
- Have a guiding strategy and design
- Employ automation tools
- Start with small focused use cases
- Celebrate success and expand
- How to overcome "black box" legacy system challenges by leveraging tools like Zengines to capture metadata, understand data patterns, and parse code bases to reverse engineer business context
Why this matters
Caitlyn shares how organizations are increasingly prioritizing data lineage tools to address mainframe management and mainframe modernization projects.
The drivers behind these initiatives include:
- Scarcity of resources who understand legacy systems and code (like COBOL)
- Growing regulatory requirements for transparency
- Critical operational risk reduction
At Zengines, we're helping organizations better understand their mainframes and complex data journeys with AI-powered tools that help business users visualize, research, and discover data lineage components to answer business questions.
Listen to the full episode