Masking PII in Fedwire Files
Abstract: This article discusses the content and obfuscation of historically used banking industry files using the IRI FieldShield data masking tool on proprietary tag-based formats (e.g., Read More
Data Masking in Healthcare
Healthcare providers, medical researchers, and other “business associates” collect and process sensitive data on patients, which HIPAA law classifies as protected health information (PHI). Because PHI is stored and shared in databases, clinical notes, imaging studies, treatment forms, and EDI (claim) formats – both on-premise and in the cloud – safeguarding it by finding and de-identifying it can be a complex, time-consuming challenge. Read More
Choosing a Data Masking Tool
A data masking tool can be an effective, if not essential, way to protect sensitive information stored in files and databases. As the numbers of data breaches, lawsuits, and data privacy laws continue to grow, companies must find ways to anonymize production and test data without sacrificing its utility for analytics, research, marketing, or development. Read More
Data Masking in the BFSI Sector
The Banking, Financial Services, and Insurance (BFSI) industry handles huge amounts of personally identifiable information (PII) and sensitive financial data each day. This data ranges from NID, account information and credit scores to financial transactions and loan documents. Read More
Data Security in the Business World: Navigating Challenges
Threats of data breaches and cyberattacks have intensified over the years. In 2025 alone, the total damage cost is already forecast to reach up to $10.5 trillion. Read More
A Data Mesh Approach to Consider
Abstract: Adopting a data mesh approach represents a contemporary solution to the challenges faced by traditional centralized data management systems. This article summarizes what data mesh architecture is about, and how you can leverage its key benefits using the IRI Voracity platform. Read More
Joining Flat-File & RDB Data: Textual ETL (Part 2)
IntroductionThis article demonstrates the Voracity user’s ability to join values in a flat-file file to those in an RDB (Relational Database) table to provide meaningful information. Read More
Textual ETL: Unlocking Unstructured Data
SynopsisCorporations and government agencies store a lot of useful information in non-transactional semi-structured and unstructured data sources. Finding that data – in documents, logs, and images – is important not only for data masking, but also for textual ETL. Read More
Navigating DPDPA Compliance
IntroductionThe enactment of the Digital Personal Data Protection Act (DPDPA) 2023 on August 11, 2023, marks a significant evolution in India’s data protection landscape. This new legislation introduces stringent requirements for the management and protection of personal data and tries to balance individual rights and organizational responsibilities. Read More
Bloor Research on Data Classification in IRI Voracity
IRI Voracity is a data management platform that we have previously talked about at some length. It offers capabilities for data integration, data governance, data masking, test data management, data quality, data cleansing, data migration, and so on (and on, and on). Read More
IRI Voracity and Data Fabric
Innovative Routines International (IRI) was founded in 1978 and is headquartered in Melbourne, Florida. Incidentally, IRI should not be confused with another venerable data-driven company called IRI (Information Resources, Inc) based in Chicago, which just rebranded as Circana after a merger. Read More