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Displaying 1–15 (of 90)

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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 wasn’t 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
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
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
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
Definitions in Information Management Summary
Although there is a superficial appreciation of the importance of definitions, too few practical approaches have yet been created to use them effectively in data management.

Topics: Information Management, Data Modeling and Design, Data Governance

by Malcolm Chisholm | 0 comments
The Advantages of Data Warehouse Appliances Revisited Summary
Rick van der Lans suggests that the extra advantage of a data warehouse appliance is that the business intelligence architecture can be simplified. He explains that a data warehouse appliance can also reduce complexity, improve flexibility and reduce costs.

Topics: Data Warehousing, Appliances

by Rick van der Lans | 0 comments
Business Intelligence Really Can Be Fast and Effective
by Claudia Imhoff | 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
Extending the Scope and Reach of Business Intelligence, Part 2 Summary
Claudia Imhoff and Colin White take a look at lower-cost deployment options for business intelligence applications focusing specifically on analytical database management systems and appliances.

Topics: Business Intelligence, Databases/Database Administration, Analytics, Appliances, Cloud Computing
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by Claudia Imhoff, Colin White | 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
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

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