Data Masking/Protection
In the previous article in this series, we discussed the importance of improving and maintaining the quality of your data. Along the same lines, it is also very important to make sure your data is well-governed. Read More
Big Data
Intelligent. Fierce. Powerful. Fast. Voracious.
Killer whales, or orcas thrive in every world ocean and in many seas. They are intelligent, lively, and highly social creatures that form close, matrilineal groups. Read More
Data Quality (DQ)
Introduction This is my third installment of blog articles about Data Quality. In the first article, I postulated that data has quality when it has an acceptable level of errors. Read More
IRI Workbench
Master Data Management (MDM) is a strategic enterprise information management (EIM) life cycle initiative designed to foster the consistency and accurate maintenance of master (or reference) data. Read More
Data Quality (DQ)
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
Data Quality (DQ)
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
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
