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Accuracy is Foundation for Data Quality
October 15, 2020
Accuracy, more than most of the other data quality characteristics, is often considered to be the foundational dimension of good data quality Accuracy is one of the 16 characteristics or dimensions of data quality. It is considered to be the
Guiding Principles of Enterprise Information Management
October 8, 2020
Every organization needs an enterprise approach to manage its data assets; every program should be based on common guiding principles Many organizations struggle to obtain the full benefits of their Enterprise Information Management (EIM) initiative by approaching the framework components
Basics of Documenting Data
October 7, 2020
The purpose of data documentation is to collect information about the data to facilitate understanding, interpretation, transformation, use, etc. The semantics of the term “documenting” include “Record or report in detail, support with citations or references, support with evidence or
Information Quality Characteristics
October 1, 2020
Most data quality experts identify 16 major characteristics that affect the quality of data and information. It is important to understand their context before examining each characteristic. Information quality can have many different definitions. When users describe issues with data,
Fundamental Principles of Business Rules
September 26, 2020
Three fundamental principles: Severability, Accommodation, and Wholeness, form the basis of all fundamental business rules and policies. What principles in the real world (not software) necessarily underlie meaningful, pragmatic expression of business rules and other elements of guidance (i.e., advices
Value of a Data Warehouse Strategy and Methodology
September 24, 2020
All successful business intelligence / analytics endeavors are based on a formal strategy and use a best-practices based methodology, even in agile environments. Many companies do not have a data strategy, which is a basic component for successful management of
5 Best Practices for Managing Reference Data
September 19, 2020
Managing reference data is a complex and essential activity to ensure usable data for operations and decisions Managing reference data poorly can have a profound impact on operations and business intelligence, data analytics, machine learning (ML) and artificial intelligence (AI)
Enterprise Architecture Framework – Background Description and Utility
September 17, 2020
The Framework for Enterprise Architecture classifies and organizes information that is important to management as well as for development, and includes all the artifacts for each role and product. In the early 1980’s, there was little interest in the idea
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