If you've invested in enterprise data governance tools like Collibra, Alation, BigID, or Informatica, you probably expected them to transform how your organization manages, discovers, and protects data. But if you're like most firms, you're likely not seeing the full return on that investment.
The problem isn't with these tools themselves—it's with the foundation they need to work effectively: metadata management.
The challenges with manual metadata management
Data governance tools are only as good as the metadata that feeds them and most organizations struggle with three critical metadata challenges:
1. Highly Manual Load and Update Processes
Teams consistently underestimate the manual effort required to import and update data into governance tools. What should be a streamlined process becomes a resource-intensive bottleneck that delays implementation and reduces adoption.
2. Incomplete and Stale Data
Data is only updated when business teams provide refreshed information, leading to governance tools that quickly become outdated. Even worse, these tools often miss huge chunks of institutional data hidden in "black box" systems like mainframes and legacy COBOL applications. This creates a false sense of data completeness while critical business logic and data relationships remain invisible to your governance framework.
3. Lack of Standardization
Data enters governance tools in whatever format it was provided, without standardization or validation. This creates inconsistencies that undermine the tool's ability to provide reliable insights and lineage tracking.
The cost of poor metadata management
When metadata management fails, your data governance initiatives suffer across multiple dimensions:
- Data Cataloging becomes unreliable, making it difficult for users to find and trust the right data
- Data Lineage tracking breaks down, leaving gaps in understanding how data flows through your ecosystem
- Data Privacy compliance efforts are hampered by incomplete or inaccurate metadata about sensitive information
The result? Expensive governance tools that deliver a fraction of their potential value.
The Zengines Solution: AI-powered metadata automation
Zengines transforms metadata management from a manual burden into an automated advantage. Our AI-powered platform addresses the root causes of governance tool underperformance by providing:
Automated Metadata Generation
- Automatically generate metadata updates based on data changes during system migrations
- Eliminate manual effort in preparing metadata for governance tool uploads
- Turn metadata updates into "push button" operations for easier and faster behavior change
Intelligent Standardization
- Automatically standardize metadata formats across multiple systems and applications
- Ensure consistency that was previously achieved only through manual cleansing efforts
- Create uniform business data glossaries within your governance tools
Data Trust and Relevance
- Automatically detect data changes and generate metadata updates
- Provide data profiling to support privacy analysis and data quality efforts
- Classify data to identify PII (Personally Identifiable Information), CDE (Critical Data Elements), and other regulatory and compliance requirements
- Unlock massive amounts of critical institutional data through Zengines Mainframe Data Lineage, bringing previously hidden "black box" information into your governance framework to create complete data trust and visibility
Seamless Integration
- Feed metadata updates and data lineage directly into governance tools via API
- Works with existing tools like Collibra, Alation, and others
- Update governance tools with rich institutional data from Zengines Mainframe Data Lineage, including previously hidden business logic, data relationships, and system dependencies
- Maintain metadata currency without disrupting existing workflows
Real impact: Case study results
A global wealth and asset manager with $300B in AUM was struggling to drive adoption and maintain data updates in Collibra, its data governance tool. This was further exacerbated as the entire organization underwent a 5-year business and technology transformation involving cloud migration and four new platform implementations.
The Challenge:
- The team struggled to find deliver data privacy compliance reporting
- Data privacy efforts were hindered by scattered data sets and poor metadata quality
- Metadata management was completely manual
- Many teams and applications had never had their metadata loaded into Collibra
- For the teams that had engaged with Collibra, there was lack of motivation to keep it current
Zengines Results:
- Metadata now exists for applications whose metadata had never been loaded previously
- Automatic standardization across multiple applications—eliminating manual cleansing efforts
- Push-button metadata uploads—replacing entirely manual file preparation
- Enhanced privacy compliance through automated data profiling that presents patterns to support business decision-making
Maximize your Data Governance investment
Your data governance tools have the potential to be transformative—but only when they're fed with accurate, current, and standardized metadata. Zengines removes the manual barriers that prevent these tools from delivering their full value.
Ready to unlock your data governance investment?
- Accelerate implementation timelines by automating metadata preparation
- Improve data quality and consistency across your governance tools
- Reduce the manual effort that burns out your data teams
- Enhance compliance capabilities with automated data profiling and PII detection
The vision of frictionless data conversions isn't just about moving data from one system to another—it's about creating a foundation where your data governance tools can finally deliver on their promise.
