Simpler Data Governance

 

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Overview Data Masking Data Quality Test Data Forensics RBAC Stewardship COBIT EMM MDM DGaaS

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Data Governance

You need a simple, cohesive framework in which to discover and steward data while you: move it, transform and harmonize it, cleanse and/or mask it, and prepare it for reporting and other applications in its lifecycle.

Most tools that prepare, govern, or analyze data are not integrated, and their interplays add layers of complexity that can impact performance and the availability of data. They may also not provide the audit trails that satisfy the requirements of your risk and controls framework.

Data Governance Video

data governance description and benefits

What Are You Doing?

Think about the range of people, policies, and procedures you have for governing your data and information assets. Wouldn't it make sense to consolidate the efforts of your teams and their tasks in a single, cohesive, and extensible framework that supports:

  • data profiling, search, classification, and metadata definition
  • erwin, Collibra or bespoke data dictionaries and business glossaries 
  • multi-source PII discovery and data masking for enterprise data security
  • smart, synthetic test data generation
  • metadata (and release) management (EMM)
  • master data management (MDM)
  • data quality: search, validate, cleanse, enrich
  • role-based access controls
  • regulatory compliance for data management
  • forensic metadata data discovery and job auditing

Consider Consolidating.

The IRI Voracity platform for data discovery, integration, migration, governance, and analytics uses the built-in data cleansing, enrichment, and unification features of IRI CoSort and the data discovery, masking, and auditing features of IRI DarkShield to replace multiple tools and steps with one product, while providing simplicity, transparency, compliance and auditability. 

Their common Eclipse GUI, IRI Workbench, provides a single-point of control for the specification of data and rules, plus the means to enact those rules during data integration, migration, protection, reporting, and auditing activities. In other words, you and your team(s) can use Voracity and its free Workbench GUI to do all the things listed above in the same, familiar, and extensible pane or glass.

IRI Voracity solutions for data governance problems

Click through the tabs in this section above to understand what you can do with IRI data governance tools, or scan the Data Governance features of Voracity here.

Frequently Asked Questions (FAQs)

1. What is data governance?
Data governance is the set of policies, roles, processes, and tools that ensure data is accurate, consistent, secure, and used responsibly across an organization. It includes data stewardship, quality control, compliance enforcement, and lifecycle management.
2. How does IRI simplify data governance?
IRI simplifies data governance by unifying data profiling, cleansing, masking, auditing, and integration in one platform: IRI Voracity. Its built-in tools operate within a common GUI (IRI Workbench), eliminating the need for separate tools and reducing operational complexity.
3. What are the main components of a data governance framework?
A complete framework typically includes:

Data discovery and classification

Data quality monitoring and cleansing

Metadata management

Access controls

Audit trails and compliance enforcement

Stewardship and policy management
4. How can data governance improve regulatory compliance?
By enforcing consistent rules for data access, masking, auditing, and retention, data governance supports compliance with privacy laws like GDPR, HIPAA, CCPA, and others. It also enables detailed audit logs to meet internal risk and controls frameworks.
5. What is the role of metadata in data governance?
Metadata provides context about the data—its source, format, meaning, and lineage. Good metadata management helps in data classification, regulatory reporting, system integration, and overall data quality assurance.
6. What are the benefits of consolidating data governance tools?
Consolidation reduces complexity, improves collaboration, and lowers costs. It enables real-time data oversight, ensures consistency across workflows, and minimizes tool sprawl, which can lead to data silos and audit gaps.
7. How does IRI support data masking within data governance?
IRI’s DarkShield and FieldShield tools support structured and unstructured data masking. These tools can be applied through data classification rules in IRI Workbench, helping secure sensitive PII and maintain referential integrity across systems.
8. What is the importance of role-based access control (RBAC) in data governance?
RBAC ensures that only authorized users can access specific data assets based on their role. This reduces the risk of data breaches, supports least privilege policies, and helps meet compliance requirements.
9. How can synthetic test data help in a data governance strategy?
Synthetic test data generation (e.g., using IRI RowGen) provides realistic, privacy-compliant data for development and testing without exposing sensitive information. It’s useful for validating data pipelines, ensuring data integrity, and supporting DevOps workflows securely.
10. Can IRI Voracity integrate with existing data governance tools like Collibra or erwin?
Yes. IRI Voracity supports metadata exchange and integration with third-party governance tools like Collibra, erwin, and custom business glossaries to ensure seamless data documentation and stewardship.
11. What is the role of data stewardship in governance?
Data stewardship involves assigning responsibility for managing data assets, ensuring data quality, and enforcing governance policies. Stewards work with governance platforms to monitor, resolve, and prevent data issues.
12. How does IRI enable auditing and forensic analysis?
IRI supports detailed job-level and field-level auditing across data movement and transformation processes. With forensic metadata discovery, you can trace data lineage and user activity to detect anomalies or unauthorized access.
13. What makes IRI’s approach to data governance different?
IRI unifies governance capabilities—discovery, classification, quality, masking, auditing, and stewardship—into one extensible and efficient platform. This integrated approach avoids the cost, complexity, and risk associated with multi-vendor environments.
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