Newsletter
May 2025
May month marks an exciting chapter for Mage Data, as we launch our Systems Integrator Program – a major milestone in scaling secure, enterprise-grade Data Masking and Test Data Management solutions through our trusted partners. In this edition, we highlight two real-world case studies showcasing how organizations in the finance and HR sectors have used Mage Data’s Data Discovery and Masking capabilities to protect sensitive data while enabling powerful analytics and compliance at scale.
To expand enterprise access to robust data privacy capabilities, we’ve launched the Mage Data Systems Integrator Program. This initiative enables technology and service providers to embed Mage Data’s award-winning Data Masking and Test Data Management solutions into complex enterprise environments – supporting AI adoption, compliance, and digital transformation.
We’re also excited to welcome Neoware.ai as our first Certified Systems Integrator. With deep expertise across Sales, Pre-Sales, and Delivery, Neoware.ai is uniquely equipped to help clients operationalize AI while embedding Mage Data’s privacy-first framework at the core of their transformation.
According to Rajesh Parthasarathy, Chief Magecian and CEO of Mage Data “This partnership with Neoware.ai marks a pivotal moment for Mage Data, as enterprises accelerate AI adoption, the demand for robust data protection and test data management has never been higher. By integrating our industry-leading solutions with Neoware’s data to intelligence solutions, we are empowering organizations to innovate with confidence, unlocking AI’s full potential while ensuring compliance and security.
Read the full press release.
A leading global HR services firm sought to analyze travel patterns of their sales team to optimize conversion rates. However, replicating real-world address data in non-production environments posed serious privacy and GDPR compliance concerns.
Mage Data deployed a context-aware geospatial masking solution that preserved the integrity of distance-based analytics without exposing sensitive location data. By replacing actual addresses with geographically valid alternatives, the solution-maintained compatibility with Google Maps APIs – ensuring seamless integration with existing tools. All personal identifiers were anonymized to align with GDPR.
This enabled the HR provider to maintain full analytical fidelity without compromising on privacy or compliance. Development teams gained secure access to production-quality datasets, accelerating insight generation while meeting internal and regulatory standards.
Download the full case study here
A major financial institution in the Dominican Republic, serving over 1.5 million customers, needed to enable secure, role-based access to sensitive customer data for analytics – without breaching privacy regulations.
Mage Data implemented a Dynamic Data Masking (DDM) solution tailored to a complex environment of 262 users, 165 roles, and more than 1,000 database tables. The solution created five granular masking policies that aligned with the bank’s access controls, preserving analytical context while dynamically protecting sensitive fields.
With centralized policy management and seamless integration across schemas and reporting tools like Tableau, the bank accelerated insight generation – without exposing real data – achieving both operational agility and regulatory compliance.
Download the full case study here