Data Steward
This learning path is designed for Data Stewards who are responsible for ensuring enterprise data remains accurate, complete, trusted and fit for purpose.
Data Stewards play a critical role in data governance by managing data quality issues, investigating exceptions and ensuring data is corrected at source systems.
CryspIQ® follows a fundamental principle:
Data is never cleaned or corrected during processing. Data quality issues must be resolved at the source system.
As a Data Steward, you:
- Are a registered user within Microsoft Entra ID.
- Own the quality of assigned datasets.
- Monitor Data Quality exceptions.
- Investigate records waiting in the Parking Lot.
- Work with source system owners to resolve issues.
- Approve or advise on data access requests.
- Monitor stewardship performance.
- Consume enterprise data through queries and dashboards.
- Use Natural Language Query to access trusted information.
Start Here
Before managing data quality, we recommend completing the following overview material.
| # | Topic | Outcome |
|---|---|---|
| 1 | Industry Problem | Understand why organisations struggle with enterprise data. |
| 2 | CryspIQ® Introduction | Understand what CryspIQ® does and how it works. |
| 3 | Navigation Guide | Learn how to move around the CryspIQ® platform. |
| 4 | CryspIQ® Methodology | Understand how CryspIQ® creates trusted enterprise data. |
| 5 | Enterprise Data Efficiency | Understand the business value of governed data. |
Core User Training
All Data Stewards should first complete the standard user training.
| # | Guide | Outcome |
|---|---|---|
| 1 | Enterprise Data Glossary | Understand what data exists and who owns it. |
| 2 | Questions | Learn how to ask questions using everyday language. |
| 3 | Query Library | Run approved organisational queries. |
| 4 | Dashboards | Explore enterprise insights through dashboards. |
Learning Videos
| # | Video | Outcome |
|---|---|---|
| 1 | CryspIQ® Solution Architecture | Understand how data flows through CryspIQ®. |
| 2 | CryspIQ® Source Messages | Understand where data originates. |
| 3 | CryspIQ® Data Mapping | Understand how business context is applied. |
| 4 | CryspIQ® Data Security | Understand how enterprise data is secured. |
Data Quality Training
These guides form the core responsibilities of a Data Steward.
| # | Guide | Outcome |
|---|---|---|
| 1 | Parking Lot | Investigate records waiting for contextual data. |
| 2 | Function Dashboard | Monitor data quality performance across your business function. |
| 3 | Steward Dashboard | Review issues assigned directly to you. |
| 4 | Data Quality Deep Dive | Investigate root causes and trends using Power BI. |
Security Awareness
Data Stewards should understand how enterprise data is protected.
| # | Guide | Outcome |
|---|---|---|
| 1 | Access Control | Understand Security Group management. |
| 2 | Contextual Security | Understand protection of contextual data. |
| 3 | Business Object Security | Understand protection of factual and business data. |
Understanding the Parking Lot
One of the most important responsibilities of a Data Steward is monitoring the Parking Lot.
Records enter the Parking Lot when required contextual information cannot be found during processing.
Examples include:
- Missing Date of Birth
- Missing Gender
- Missing Employee Identifier
- Missing Customer Record
- Missing Location
- Missing Asset
These records are temporarily held until the missing context arrives.
CryspIQ® automatically releases records once the missing information becomes available.
No manual intervention is required within CryspIQ® itself.
The Data Steward's responsibility is to investigate why the context did not arrive from the source system.
Understanding Data Quality Exceptions
When data fails validation rules it is stored in the Data Quality Exemption area.
Examples include:
- Invalid values
- Missing mandatory fields
- Incorrect formats
- Business rule failures
Important
Data is never corrected inside CryspIQ®.
Instead:
- Identify the issue.
- Investigate the source system.
- Correct the data at source.
- Re-submit the record.
Once corrected data arrives, the exception is automatically resolved.
This ensures enterprise data remains trustworthy and auditable.
Your Responsibilities
As a Data Steward, your primary responsibilities include:
Data Quality
- Monitor quality exceptions.
- Investigate recurring issues.
- Resolve problems at source systems.
- Improve data quality over time.
Data Governance
- Maintain accountability for assigned datasets.
- Support governance initiatives.
- Promote data ownership.
Data Access
- Assist with access requests.
- Work with Data Administrators to apply appropriate security.
Business Accountability
- Monitor function performance.
- Review stewardship metrics.
- Improve transparency across the organisation.
What Should I Learn Next?
If you are primarily responsible for quality
Focus on:
- Parking Lot
- Function Dashboard
- Steward Dashboard
- Data Quality Deep Dive
If you are responsible for data ownership
Review:
- Enterprise Data Glossary
- Security Guides
- Data Quality Guides
If you work closely with Data Administrators
Review:
- Source Messages
- Create Message Maps
- Security Configuration
Expected Outcome
After completing this learning path, you will be able to:
- Monitor enterprise data quality.
- Investigate data quality exceptions.
- Understand Parking Lot records.
- Resolve issues through source systems.
- Support governance and compliance initiatives.
- Improve transparency and accountability.
- Help maintain trusted enterprise data.
Data Stewards play a critical role in ensuring that enterprise data remains accurate, complete, governed and trusted for reporting, analytics and AI initiatives.