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1 Jan, 2006

Enabling High Quality Analytics through a Data Validity Dimension

01 January, 2006
Pete Stiglich
Data Warehousing

Using a specialized data validity dimension in a data warehouse design can support data quality and analytics capabilities. Introduction While working on an Enterprise Data Warehouse for a state court system the issue of poor data quality in the source systems became apparent.  Referential integrity was not strictly enforced and there was very little in the way of attribute level constraints. 

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1 Oct, 2002

Data Mining

01 October, 2002
Larissa Moss
Data Warehousing

Data mining is a powerful analytical activity that can be used with data warehouses and with operational systems, yielding valuable insights. Introduction Data mining is often confused with "writing lots of reports and queries," when in fact data mining activities do not involve any traditional report writing or querying at all.  Data mining is performed through a specialized tool, which executes

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1 Oct, 2001

The Evolution of the Corporate Information Factory

01 October, 2001
Bill Inmon
Data Warehousing

Introduction In the beginning were applications.  And applications served the corporation well until there was a desire for integration of historical information. However, applications supported neither integration nor historical data.  When it was noticed that applications - once built and put into production - were unable to be reshaped, the limitations of trying to get information out of appl

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1 Oct, 2001

Building a Data Warehouse in Iterations

01 October, 2001
Larissa Moss
Data Warehousing

Effective data warehouse development requires an iterative approach that results in a robust, well-defined and usable system for analytics. This article is excerpted from Data Warehouse Project Management (Addison-Wesley, Adelman and Moss, © September 2000). Data Warehouse Iterations Introduction A data warehouse cannot and should not be built in one Big Bang. Instead, a data warehouse is an evol

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1 Apr, 2000

Data Warehouse Costs

01 April, 2000
Sid Adelman
Best Practices

Developing a process for cost justifying a data warehouse and metrics for measuring various costs associated with a data warehouse project are essential for success This article is excerpted from a book titled Data Warehouse Project Management (published by Addison Wesley Longman (© 2000), Sid Adelman, Larissa Moss) Introduction Not every data warehouse project will be cost justified initially. 

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1 Jan, 2000

Data Warehouse Success Measures

01 January, 2000
Sid Adelman
Best Practices

Knowing how to measure success and failure, and qualifying results for a data warehouse or analytics project is essential for all project managers. This article is excerpted from a book titled Data Warehouse Project Management (published by Addison Wesley Longman (© 2000), Sid Adelman, Larissa Moss) Introduction There has been much heated discussion over the failure rate of data warehouses and de

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1 Jan, 1999

Data Mart Migration

01 January, 1999
David P. Marco
Data Warehousing

Fully architected solutions to data warehouse / analytics systems, not independent data marts, is the right way to ensure all the benefits of integrated data Introduction The need for an architected solution to decision support / analytics data, as opposed to the proliferation of independent data marts is becoming increasingly apparent.  The spread of independent data marts  have created "island

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1 Jan, 1999

Stranded on Islands of Data

01 January, 1999
David P. Marco
Data Warehousing

Independent data marts create stranded, unusable data.  Independent data marts can spread like a disease through an organization and must be eradicated. There is a severe disease that has spread to epidemic proportions throughout our society. This disease is particularly dangerous as its effects are not readily identifiable at the time of infection. However, if this condition goes untreated, it c

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