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Displaying 240–255 (of 559)

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Title Popularity * Date
Managing Data Quality in the Face of Organizational Change Summary
The policies, processes, and procedures of an ongoing data quality program must be able to persist even in the face of change. This article provides examples of organizational change that have ramifications in association with an organization’s data quality program.

Topics: Information Quality (IQ), Data Quality

by David Loshin | 0 comments
Three Types of Data Models Summary
Bill Inmon discusses operational data models, data warehouse (or analytical) data models and global data models.

Topics: Data Warehousing, Data Modeling and Design

by Bill Inmon | 0 comments
Master Data Management Drivers and the Reliance on Data Governance Summary
In the rush to realize the benefits of a master data management (MDM) solution, the deployment of MDM often precedes two important aspects of any significant undertaking. David Loshin cautions against this approach and provides a list of critical MDM and data governance concepts that should be considered prior to purchasing any tools.

Topics: Information Quality (IQ), Data Quality, Master Data Management (MDM)
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by David Loshin | 0 comments
Reflections on Identity and Master Data Management Summary
Identity is one particular problem in master data management (MDM). Actually, it is one of the key problems that MDM is trying to solve. But just what is identity, and why is it so difficult?

Topics: Information Management, Master Data Management (MDM)
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by Malcolm Chisholm | 0 comments
Cleaning Structured Transaction-Based Data Summary
Bill Inmon compares the task of cleaning structured transaction-based data to that of sweeping sand in a beach house – it's a losing proposition.

Topics: Data Warehousing, Data Quality, Unstructured Data, ETL, Data Migration

by Bill Inmon | 0 comments
Application Contexts for Data Profiling Summary
The review of some basic application contexts in which profiling plays a part, says David Loshin, will ultimately help to demonstrate how a collection of relatively straightforward analytic techniques can be combined to shed light on the fundamental perspective of information utility for multiple purposes.

Topics: Analytics, Data Quality, Data Profiling

by David Loshin | 0 comments
An IT Progression Summary
Bill Inmon takes a look at the amazing transformations IT has undergone since the 1960s.

Topics: Data Warehousing

by Bill Inmon | 0 comments
And a Sawyer Takes the Pot Summary
Bill Inmon contradicts the flawed logic of the corporate bully.

Topics: Data Warehousing, Business Intelligence

by Bill Inmon | 0 comments
What is Corporate Data? Summary
Bill Inmon delineates the characteristics of corporate data.

Topics: Data Warehousing
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by Bill Inmon | 0 comments
Master Data Management: Moving Forward... Summary
David Loshin provides an insightful look at the master data management (MDM) market, specifically Talend's recent product announcement and the acquisitions by Informatica and IBM.

Topics: Information Management, Data Integration, Master Data Management (MDM), Data Profiling

by David Loshin | 0 comments
Are You Kidding Me? Summary
Bill Inmon is of the opinion that when it comes to software, you can have inexpensive or you can have complete, but you can't have both.

Topics: Data Warehousing, Business Intelligence

by Bill Inmon | 0 comments
Analysis and Amnesia in IT Summary
With fewer business processes to automate, surely we should need fewer analysts than we have in the past. What exactly are they analyzing these days?

Topics: Business Intelligence, Data Modeling and Design, Analytics

by Malcolm Chisholm | 0 comments
Corporate Data: A Brief History Summary
Bill Inmon considers the role corporate data plays in making appropriate and timely decisions.

Topics: Data Warehousing

by Bill Inmon | 0 comments
Social Media, Content, Structure and Wagging the Long Tail Summary
David Loshin questions whether or not social media data has anything to contribute to business analytics.

Topics: Business Intelligence, Analytics, Social Media
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by David Loshin | 0 comments
Business Relevance Summary
The recession, says Bill Inmon, may be the impetus technicians need to become relevant to their business.

Topics: Data Warehousing, Analytics

by Bill Inmon | 0 comments

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