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Displaying 285–300 (of 703)

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Title Popularity * Date
Data Warehousing and Data Quality: The Chicken or the Egg? Summary
While the need for data quality has long been recognized in transaction processing systems, it wasnít until there were data warehouses that the real state of data quality became known.

Topics: Data Warehousing, Data Quality
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by Bill Inmon | 0 comments
Is the SDLC Relevant to Data-Centric Projects? Summary
There has been a shift from a process-centric view in application development to a data-centric view. Because so much has changed since the SDLC originated, does it really apply to what is being done today?

Topics: Information Management, Data Management

by Malcolm Chisholm | 0 comments
Taxonomies and Data Models Summary
When dealing with unstructured data, taxonomies are used to organize and understand the textual, unstructured data.

Topics: Information Management, Data Modeling and Design, Data Warehousing, Unstructured Data

by Bill Inmon | 0 comments
Computed Attributes, Entity Resolution and Connectivity Hierarchies Summary
David Loshin suggests that it is worth considering the potential of the types of computed or calculated data elements associated with data subject areas that are subjected to entity resolution. The end of the article poses an interesting question, and youíre encouraged to reply.

Topics: Information Management, Master Data Management (MDM), Data Profiling, Data Management, Social Media

by David Loshin | 0 comments
Data Warehousing: Kimball vs. Inmon (By Inmon) Summary
In this article, Bill Inmon compares and contrasts the Inmon and Kimball approaches to data warehousing, highlighting the pros and cons of each approach.

Topics: Data Warehousing
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by Bill Inmon | 0 comments
No Perfect Answer Summary
Should organizations always adopt new technology when it promises to positively affect the bottom line? Or, are there times when organizations should take the safe route?

Topics: Data Warehousing, Business Intelligence
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by Bill Inmon | 0 comments
Taking Inventory of the Unstructured World Summary
Creating an inventory of corporate documents is an activity that represents the first start in managing the unstructured environment.

Topics: Data Warehousing, Unstructured Data

by Bill Inmon | 0 comments
Data Governance and Data Architecture: Initial Thoughts Summary
Because of the growing interest in enterprise-wide data reuse, there is a need for specific policies for data governance associated with different aspects of data architecture, with the intention of establishing a high level of maturity and capability.

Topics: Data Governance, Information Management, Architecture, Metadata, Master Data Management (MDM)

by David Loshin | 0 comments
Whatís Not to Love About the Spreadsheet? Summary
Because of all the pros of spreadsheets, it is safe to assume that they will not go away anytime soon. Thus, Bill Inmon shares ways to make them work within your organization.

Topics: Data Warehousing

by Bill Inmon | 0 comments
Who is Building Systems Today? Summary
According to Bill Inmon, as long as economic circumstances remain the same, it is doubtful there will ever be a return to corporate system development.

Topics: Data Warehousing, Information Management

by Bill Inmon | 0 comments
Demystifying Digital Analytics Summary
Analyzing the content generated when consumers perform multiple tasks on digital platforms offers huge potential to gain insight into the consumerís psyche.

Topics: Analytics, Campaign Management, CRM, Customer Data Integration

by Derick Jose | 0 comments
How Did Bad Data Get Into the System? Summary
Bill Inmon describes common "bad data" problems and suggests that the solution for these problems is not simply correcting the data. To avoid recurring problems, the causes of bad data must be discovered.

Topics: Information Quality (IQ), Data Warehousing, Data Integration

by Bill Inmon | 0 comments
Why Venn Diagrams Don't Work for Data Summary
Malcolm Chisholm explains why we need to find techniques that are oriented specifically to data rather than borrowed from other areas of human experience.

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

by Malcolm Chisholm | 0 comments
Getting It Right Summary
Bill Inmon shares observations about those who are successful with technology and those who are not.

Topics: Data Warehousing, Business Intelligence

by Bill Inmon | 0 comments
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 organizationís data quality program.

Topics: Information Quality (IQ), Data Quality

by David Loshin | 0 comments

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