IRI Voracity Archives

Masking PII in Audio Files

by Adam Lewis

Voice recordings can contain personally identifiable information (PII), such as names, phone numbers, or other sensitive data embedded in spoken words.

According to Mediartis, “The CNIL (French GDPR Supervisory Authority) provides examples of personal data such as photos, voice recordings, first or last names, pseudonyms, dates of birth, telephone numbers, social security numbers, postal addresses, email addresses, fingerprints, retinal prints and more”. Read More

Data Masking/Protection

Masking PII in ETL Jobs

by Donna Davis

Governance-driven data architects are increasingly adopting ETL masking workflows to ensure data privacy and compliance without disrupting analytics, operations, or development. As data moves from one environment to another—especially during extraction, transformation, and loading (ETL)—it’s critical to protect sensitive data from unauthorized access. Read More

Business Intelligence (BI)

A Data Mesh Approach to Consider

by David Friedland

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

Data Transformation

IRI Data Integration

by Daniel Howard, Bloor Research

As I’ve discussed previously, IRI provides robust solutions for data migration. For those needing a recap, IRI is a longstanding data management vendor that has been almost perennially involved in data modernization efforts (such as legacy “lift and shift” work). Read More

Data Transformation

Joining Flat-File & RDB Data: Textual ETL (Part 2)

by Chaitali Mitra

Introduction

This 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

Data Masking/Protection

Data Scrambling: Format-Preserving Scramble (FPS)

by Adam Lewis

This article demonstrates the use of the “format preserving scramble” (FPS) function available in IRI Voracity data masking and test data synthesis tools . FPS obfuscates numeric and alphabetic data in a random way but preserves the format and original widths of the characters (including upper- and lower-case letters). Read More

Data Masking/Protection

Bloor Research on Data Classification in IRI Voracity

by Daniel Howard, Bloor Research

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

Business Intelligence (BI)

IRI Voracity and Data Fabric

by Andy Hayler, Bloor Research

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

Big Data

The IRI Platform

by Daniel Howard, Bloor Research

Over the course of this blog series, we’ve described several data management capabilities, as well as why those capabilities are important and worth caring about. We’ve covered testing, both in terms of test design automation and test data management, data governance and data masking, data migration and modernization, and data quality and improvement. Read More

Data Transformation

IRI Test Data Generation

by Daniel Howard, Bloor Research

We started this series of articles by talking about test design automation and the need to introduce automation throughout your testing processes. In this blog, we come full circle to talk, once again, about testing. Read More

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