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Showing posts with label Completeness. Show all posts
Showing posts with label Completeness. Show all posts
27 January 2025

🗄️🗒️Data Management: Data Quality Dimensions [Notes]

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Disclaimer: This is work in progress intended to consolidate information from various sources for learning purposes.  Last updat...
05 January 2021

🧮ERP: Implementations (Part III: It’s all about Scope I - Functional Requirements)

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ERP Implementations Series Introduction ERP (Enterprise Resource Planning) Implementations tend to be expensive ...
11 May 2019

#️⃣Software Engineering: Programming (Part XI: The Dark Side)

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Software Engineering Series As member of programmers' extended community, it’s hard to accept some of the views that inconsiderate progr...
04 May 2019

🧊Data Warehousing: Architecture (Part I: Push vs. Pull)

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In data integrations, data migrations and data warehousing there is the need to move data between two or more systems. In the simplest scena...
19 April 2019

🌡Performance Management: Mastery (Part I: The Need for Perfection vs. Excellence)

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A recurring theme occurring in various contexts over the years seemed to be corroborated with the need for perfection, need going sometimes ...
28 April 2017

⛏️Data Management: Completeness (Definitions)

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"A characteristic of information quality that measures the degree to which there is a value in a field; synonymous with fill rate. Asse...
12 February 2017

⛏️Data Management: Data Quality (Definitions)

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"Data are of high quality if they are fit for their intended use in operations, decision-making, and planning." (Joseph M Juran, 1...
09 November 2011

📉Graphical Representation: Completeness (Just the Quotes)

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"The title for any chart presenting data in the graphic form should be so clear and so complete that the chart and its title could be r...
03 July 2010

🗄️Data Management: Data Profiling I (An Introduction)

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Data Management Series Some Generalities Jack Olson defines data profiling as "the use of analytical techniques to discover the tr...