|DataPlus for Data Privacy & Data Provisioning|
TCS MasterCraft™ DataPlus is an integrated data management software, which provides data privacy and test data provisioning, to
enable trusted data sharing for enterprises.
regulations across the globe require enterprises to ensure
privacy of data, when data is shared or accessed. Many enterprises have setup a
formal data privacy program, as part of their larger data protection regulatory
compliance. For enterprises wanting to ensure
data privacy as part of their IT Development Operations and other privacy-safe
data provisioning requirements, DataPlus provides:
Sensitive Data Attribute Discovery, for automatically discovering
potential sensitive and personally identifiable business data elements, from
organization data stores, in an intelligent and policy-driven approach.
collection of Pre-packaged Data Masking Rules, that
are well suited for handling data masking requirement of different types of
business data elements and generate fictitious yet realistic masked values.
and Configurable Data Masking Policies, that
bring about automation and a governed approach of setting up data masking
approaches of privacy-safe test data generation, such as Static Data Masking, Data Pseudonymization, Synthetic Data Generation and Voluminous Data Generation, that help
create right-sized test data for multiple application testing scenarios
sub-setting that limits the amount of data utilized in development environments for
for heterogeneous data source technologies on premise and cloud and diverse application technology platforms.
Privacy-safe test data generated
by DataPlus can be used for various use-cases such as privacy-safe IT
development operations, application performance/stress testing, data migration
testing, privacy-safe data analytics, among others. DataPlus’ privacy-safe data provisioning features are of immense
interest to enterprise roles such as Data Privacy Officer, Chief Information
Security Officer, Data Privacy Program Owner, Application Owners and Assurance
Heads that are involved in ensuring data privacy, as part of larger compliance
towards data protection regulations.
- Ease of learning and self-service usage, through guided approach of
building data management jobs
built lean governance around test data provisioning,
through metadata management, data dictionary, data privacy reports and
visualization, data masking score and trending
to cater to data privacy needs of heterogeneous business
due to industry-agnostic approach
- Scalability through service-engine based
- User Defined Function Framework for handling niche data