Enterprise Data Glossary
The Enterprise Data Glossary provides a single view of all governed data available within CryspIQ®.
It is designed for business users who need to quickly understand:
- What data exists
- What the data means
- Who owns the data
- Whether they have access
- How complete the data is
- The quality of the data
The Data Glossary acts as the organisation's central catalogue for trusted enterprise information.
Overview
Most organisations struggle to answer simple questions such as:
- What data do we have?
- Who owns this data?
- Can I access it?
- Is the data complete?
- Is the data trustworthy?
The Enterprise Data Glossary answers these questions in a single location.
Discover Data
↓
Understand Meaning
↓
Review Access
↓
Review Quality
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Contact Steward
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Use with Confidence
The glossary provides a business-friendly view of enterprise information without requiring technical knowledge.
Why Use the Data Glossary?
The Data Glossary helps users:
- Discover available datasets
- Understand business definitions
- Identify data owners
- Review data quality
- Monitor completeness
- Understand security access
- Find trusted information quickly
It is often the first place users should visit when looking for data.
Enterprise Data Glossary Screen
The Enterprise Data Glossary displays all datasets available within CryspIQ®.
Users can browse or search datasets and review governance information before using the data.
Information Available
Each dataset contains a summary of important information.
Name
The business-friendly name of the dataset.
Examples:
Customer Master
Employee Master
Sales Transactions
Products
Assets
Financial Transactions
The name helps users identify the information available.
Description
A short explanation describing the purpose of the dataset.
Examples:
Customer information used for sales and service reporting.
Employee records used for workforce analytics.
Sales transaction data used for revenue reporting.
Descriptions help users understand how the data can be used.
Access
Indicates whether the current user has permission to access the dataset.
Possible values include:
| Value | Meaning |
|---|---|
| Yes | You have access to the data |
| No | You do not currently have access |
Access is controlled through Microsoft Entra Security Groups.
Completeness
Displays the completeness of the dataset.
Completeness is calculated using Parking Lot activity.
Higher completeness indicates that the required contextual information has been successfully applied.
Examples:
| Completeness | Meaning |
|---|---|
| 100% | All records are complete |
| 95% | Small number of records waiting for context |
| 80% | Significant number of records require investigation |
Quality
Displays the overall quality rating for the dataset.
Quality scores are derived from Data Quality Rules and Data Quality Exceptions.
Higher scores indicate more reliable information.
The quality score helps users determine whether the data is suitable for reporting, analytics and AI initiatives.
Steward
Displays the Data Steward responsible for the dataset.
The Steward is responsible for:
- Data quality oversight
- Governance activities
- Investigating quality issues
- Supporting business users
If users have questions regarding a dataset, the Steward should be the first point of contact.
Filtering Data
The Enterprise Data Glossary supports filtering to help users locate information quickly.
Users can filter by:
Dataset Category
Examples:
Master Data
Reference Data
Transactional Data
Business Objects
Facts
Dimensions
Business Function
Examples:
Finance
Operations
Human Resources
Sales
Marketing
Procurement
Data Steward
Users can filter datasets owned by a specific Data Steward.
Access
Users can quickly identify:
Datasets I Can Access
Datasets I Cannot Access
This is useful when requesting additional access.
Quality
Users can identify datasets with:
- High quality
- Medium quality
- Low quality
Understanding Access
CryspIQ® applies security automatically.
If a dataset displays:
Access = No
the user cannot view or query that data.
To request access:
- Identify the dataset.
- Review the assigned Steward.
- Contact the Steward or Data Administrator.
- Request membership to the appropriate Security Group.
Using the Glossary Before Asking Questions
The Data Glossary is the recommended starting point before using the Questions feature.
The Glossary helps users determine:
- Whether the data exists
- Whether access is available
- Who owns the data
- Whether the data is complete
- Whether the data is suitable for use
This improves query results and reduces confusion.
Common Use Cases
Find Data for Reporting
Review available datasets and identify the information required for reporting activities.
Check Data Access
Confirm whether access has been granted before raising support requests.
Review Data Quality
Understand whether a dataset is suitable for decision-making.
Identify Data Owners
Locate the responsible Data Steward.
Support AI Initiatives
Identify trusted, governed and complete datasets suitable for AI and Machine Learning.
Best Practices
Before Using Data
Review:
- Dataset description
- Access permissions
- Completeness score
- Quality score
- Steward information
Before Requesting Access
Confirm:
- The dataset exists
- The dataset is relevant
- The Steward has been identified
Before Building Reports
Confirm:
- Data quality is acceptable
- Completeness is acceptable
- The data is trusted by the business
Common Questions
Why can't I access a dataset?
Access is controlled through Microsoft Entra Security Groups.
Contact the Data Steward or Data Administrator if access is required.
Why is completeness less than 100%?
Some records may be waiting in the Parking Lot for contextual information to arrive.
Why is the quality score low?
The dataset may currently contain Data Quality Exceptions that require investigation and remediation.
Who should I contact if I have questions?
The assigned Data Steward is responsible for supporting the dataset.
Related Guides
Next Steps
- Browse available datasets.
- Review dataset descriptions.
- Confirm access permissions.
- Review quality and completeness.
- Contact the Steward if required.
- Use trusted datasets within Questions, Query Library and reporting tools.
The Enterprise Data Glossary provides a single, governed view of enterprise information and helps users confidently discover, understand and use trusted data across the organisation.