Test Data
Welcome to IRI’s primer on test data management. This is the opening article, which is followed by a 4-step series.
IntroductionAs anyone familiar with the challenges of healthcare.gov Read More
IRI Business
Imagine it’s time to write a headline for your blog article. You just spent hours drafting, in your opinion, a masterpiece. You selected a great keyword or two as the basis of your subject and compiled some great content to make that keyword shine. Read More
MDM
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
IRI Business
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.
Business Intelligence (BI)
As CoSort users have known for a long time, the Sort Control Language (SortCL) program supports multi-level, conditional aggregation functions on a static or running basis. Read More
Data Transformation
Editors note: CoSort Version 10 was released in mid-2018. Please see this article for links to its features and upgrade details.
What’s New in CoSort 9.5.3
Along with the new website, there is a new release of IRI’s flagship CoSort package for data management and data protection. Read More
Data Transformation
Full disclosure: As this article is authored by an ETL-centric company with its strong suit in manipulating big data outside of databases, what follows will not seem objective to many. Read More
Data Masking/Protection
Abstract: This article explains a method of protecting credit card data with tokenization using the IRI FieldShield data masking tool.
Submitting one’s credit card details electronically can be disconcerting (e.g., Read More
Test Data
This article discusses the generation of computationally valid social security numbers for the purposes of testing applications specific to Korean business interests. If you are interested in US social security number test data generation, see this article. Read More
Big Data
Data profiling, or data discovery, refers to the process of obtaining information from, and descriptive statistics about, various sources of data. The purpose of data profiling is to get a better understanding of the content of data, as well as its structure, relationships, and current levels of accuracy and integrity. Read More
Business Intelligence (BI)
There are many proven business intelligence and analytic tools on the market than can transform raw data into meaningful information. Because this process can be complex and involve large volumes of data however, it makes sense to use the right technologies at each step in the process … tools and techniques that combine well to deliver the fastest, most accurate results for business decision making, and make the process of metadata management and report design simpler and more efficient. Read More