Data Governance Tools

K2view applies a data product approach to data governance, which is business-oriented and real-time at its core. A data product organizes and delivers a trusted dataset related to a business entity – such as a customer, supplier, or invoice – to authorized data consumers. K2view manages every entity's dataset in its own, encrypted Micro-Database™, ensuring that it's always fresh, cleansed, compliant, and instantly accessible.

Data products can be created and governed by business domains, in a data mesh architecture and operating model. Alternatively, they can be engineered and governed by centralized data teams in data fabric architecture. The data product approach to data governance forges a common language with the business, and makes data governance easier to measure.

K2view data governance tools enforce data quality, compliance, usability, integrity, and security.

Data governance via data products, where data is managed by business entities, improves the trustworthiness of the data, fueling key operational initiatives, such as Customer 360, MDM, Cloud Migration, Test Data Management, and more.

Easily set and enforce data quality rules in the context of a business entity.
Discover and anonymize personally identifiable information (PII) and protected health information (PHI).
Tokenize financial cardholder data (CHD) in support of PCI/DSS, while storing the sensitive CHD in secured, high-performance micro-vaults.

While consumers expect their sensitive data to be protected, enterprises are amassing huge volumes of customer data, in dozens of systems.

To manage this data and comply with a continuously growing number of privacy regulations, companies must quickly identify and control access to an individual’s personal data.

K2view ensures data privacy, enabling organizations to comply with current and future domestic and international regulations.

Automatically process DSARs: data access, updates, and deletion.
Adapt to new privacy laws with simple configuration changes.
Trace personal information, from data sources to data consumers.

Data catalog

Always up-to-date inventory of your data assets, across systems

Auto-discovery

Automated data discovery
and classification of your data assets

Entity modeling

Data governance by business entities ensures an outcome-first approach

Data quality

Rule-based data quality enforcement and exception workflows

Dynamic data masking

Dynamic data masking by user role protects sensitive PII and PHI

Data tokenization

Data tokenization protects sensitive cardholder data (CHD)

Data lineage

Data lineage provides data traceability from sources to consumers

DSAR automation

Data subject access request (DSAR) workflow and data automation

Active Metadata

Data usage and active metadata analysis across the data fabric

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Data Governance Tools

Ensure data quality, and enforce data privacy controls, to make trusted data easily accessible at enterprise scale

The data product approach to data governance

Data governance done right

Data governance increases trust

A data product approach

Sustainable data governance

peace of mind

Data privacy assurance

whitepaper

Adopt a game-changing data governance and compliance strategy

tools and capabilities

Entity-based data governance

Data catalog

Auto-discovery

Entity modeling

Data quality

Dynamic data masking

Data tokenization

Data lineage

DSAR automation

Active Metadata

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Beyond traditional data governance

Learn more about data governance tools

whitepaper

The Data Product Approach to Data Governance

THE COMPLETE HANDBOOK

The Complete Guide to Data Masking

THE COMPLETE HANDBOOK

Navigating the Avalanche of Data Privacy and Compliance

Experience the data quality of real-time data governance tools

Adopt a game-changing
data governance and compliance strategy

Experience the data quality of
real-time data governance tools