Oops! The input is malformed! Enterprise Information Management Articles - Malcolm Chisholm - BeyeNETWORK Page 2
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Articles

Displaying 15–30 (of 34)

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Title Popularity * Date
History, Truth and Data Summary
In the spirit of trying to get to the point where it might be possible to ask some clear questions, rather than provide any answers, Malcolm Chisholm considers the relationship between history, truth and data from a very general perspective.

Topics: Data Warehousing, Data Management

by Malcolm Chisholm | 4 comments
08-05-2009
Introducing Principles-Based Data Governance Summary
A principles-based data governance approach will seek to replace poor existing principles with better ones and empower stakeholders to implement them without prescribing how it should be done. Malcolm Chisholm explains how this will avoid creating bureaucratic overhead and give the enterprise a reasonable way to implement effective data governance.

Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)

by Malcolm Chisholm | 3 comments
07-01-2009
Rethinking Definition Summary
Malcolm Chisholm explains that acknowledging definitions have to be captured rather than gathered, and that they can be continuously improved, will make them more valuable to the enterprise over time.

Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)

by Malcolm Chisholm | 0 comments
05-06-2009
The Data Categorization Imperative Summary
Data categorization seems to be a path that data management professionals will be increasingly following in the coming years. Besides the utility of the approach, the fusion – at last – of conceptual and logical perspectives is especially satisfying.

Topics: Information Management

by Malcolm Chisholm | 0 comments
04-01-2009
Normalization is Impractical for Master Data Summary
Master data tables seem to be particularly sensitive to the limits of normalization, and Malcolm Chisholm believes that a reflexive attachment to normalization can be counterproductive.

Topics: Information Management, Data Warehousing, Databases/Database Administration, Master Data Management (MDM), Information Quality (IQ)

by Malcolm Chisholm | 2 comments
03-04-2009
A Brief Review of Indicator and Flag Columns, Part 2 Summary
This final installment in a two-part series on indicators explains how they can represent metadata, or derived information. Understanding the nature of indicators and the different classes that compose them can be very helpful in overall data management in physical databases.

Topics: Information Management, Databases/Database Administration

by Malcolm Chisholm | 0 comments
02-04-2009
A Brief Review of Indicator and Flag Columns Summary
Indicators and flags seem to be often passed over as rather simple, but they are worth thinking about. Because not a lot is written about indicator columns, Malcolm Chisholm shares his personal view of them based on his experience.

Topics: Information Management, Databases/Database Administration

by Malcolm Chisholm | 0 comments
01-07-2009
The Top 10 Data Modeling Endless Debates of All Time Summary
Is there just one data model to solve a problem? Why are data models such a tough sell to the enterprise? These questions, among others, surface in Malcolm Chisholm's list of the top ten data modeling endless debates of all time.

Topics: Information Management, Databases/Database Administration

by Malcolm Chisholm | 0 comments
12-03-2008
The Record: An Item of Master Data Summary
Managing records represents a major challenge for enterprise information management, but it is one that must be faced.

Topics: Information Management, Databases/Database Administration

by Malcolm Chisholm | 0 comments
09-03-2008
Six Architectural Styles of Data Hubs Summary
What exactly do data hubs offer? The answer to that really depends on the type of hub being considered. This article briefly review six common styles of hub from the perspective of their architectures.

Topics: Information Management, Databases/Database Administration

by Malcolm Chisholm | 0 comments
08-06-2008
Normalizing Reference Data Summary
Many databases are created in third, or a higher, normal form only to be populated with reference data that is chaotic and self-evidently nonstandard. This can have a profound negative impact that offsets the main advantage of a normalized database design

Topics: Information Management, Metadata

by Malcolm Chisholm | 0 comments
07-09-2008
Business Intelligence Problems and the Abstraction-Translation Paradigm Summary
Enterprise information architecture is complex and consists of many different perspectives, each of which is valid in its own right. Unfortunately, no single perspective corresponds to the complete reality of architecture.

Topics: Business Intelligence, Enterprise Application Integration (EAI), Enterprise Information Integration (EII), Operational Business Intelligence, Enterprise Information Management (EIM)

by Malcolm Chisholm | 0 comments
06-04-2008
Dark Data Summary
Data hidden within the enterprise will inevitably be challenged, and it will be up to enterprise information management to tame it.

Topics: Data Integration, Information Management, Enterprise Information Integration (EII)

by Malcolm Chisholm | 0 comments
05-07-2008
IT Culture and the EIM Paradigm Shift Summary
The false distinction of IT and "the business" as two separate worlds is impeding full realization of enterprise information management.

Topics: Data Integration, Information Management, Enterprise Information Integration (EII)

by Malcolm Chisholm | 0 comments
04-02-2008
The Tyranny of Projects Summary
Enterprise information management demands more than the status quo.

Topics: Information Management, Enterprise Application Integration (EAI), Enterprise Information Integration (EII), Enterprise Information Management (EIM)

by Malcolm Chisholm | 0 comments
03-05-2008

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