Using Data Templates to Find Data Format Errors
In Working towards Data Quality, we defined data quality (DQ) as a state in which data can be used for operations. What makes the quality of data high is the paucity of errors. Read More
Search Results for: Master Data Management
Metadata Management: Lineage Tracking in Git (Part 3 of…
This article is third in a 4-part series on managing metadata assets in IRI Workbench using Git. It focuses on its value in tracking metadata lineage. Read More
Working Towards Data Quality
Introduction
In this article, I suggest ways to move your company’s data towards a higher state of quality. The highest quality occurs when the data meets the needs of your company. Read More
Test Data Management: Test Data Needs Assessment (Step 2…
This article is part of a 4-step series introduced here. Navigation between articles is below.
Step 2: Test Data Needs Assessment
Once the questions of who needs test data for what — and who will be dealing with it along its lifecycle are answered (see Step 1) — a deeper dive is needed into the specific technical aspects of the data itself. Read More
On the Importance of Metadata
Background
Lines of business do not think in terms of metadata per se. Users want to know what information is available, and where it is. They want to know if the data is reliable, protected, who’s using it, where it came from and how it’s been changed. Read More
All About IRI Set Files: A Primer
Introduction: In the context of IRI software, set files are text files containing realistic or replacement values for data management applications in the IRI Voracity platform ecosystem. Read More
The Importance of a Unified View of the Customer
Customers drive business, and they want to be understood and valued. That starts with getting their (only) name right, and having an accurate view of their transaction history, preferences, and related information. Read More
MDM Thoughts
Master Data Management (MDM) is a discipline designed to make data more dependable, sharable and accessible. Here are some of IRI’s philosophies around MDM:
Most developers believe that data are, or should be, application-independent.
Testing with DB Subsets in a Jenkins CI/CD Pipeline
This Jenkins entry is the fourth in a series of articles on the use of IRI test data management software – that masks, synthesizes, or subsets data – to feed safe, referentially correct test data for DevOps to CI/CD environments. Read More
Finding and Masking PII in Couchbase, Redis and Solr…
Abstract: This article discusses the use of the IRI DarkShield-Files API for finding and masking PII and other sensitive data in Couchbase, Redis, and Solr NoSQL databases. Read More