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1 Jul, 2001

The Data Constraint to Successful Enterprise Integration

01 July, 2001
Andres Perez
Data Integration

Data Integration is essential for successful information management and business intelligence Introduction Without data integration enterprise integration is extremely costly and overly complex.  Many businesses are convinced that Business Intelligence the Internet, and Customer Relationship Management (CRM) are critical, strategic areas of investment.  However, most organizations are struggling

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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 Apr, 1999

Strategies for Implementation and Use of Operational Meta Data in the Data Warehouse (Part 2)

01 April, 1999
Michael F. Jennings
Metadata Types

Knowing how to use operational metadata in a data warehouse, business intelligence or analytics environment can be extremely beneficial to a wide variety of users. Introduction Many data warehouses and analytical systems include metadata management as part of their architectural considerations, but they do not explore fully the strategic approaches to using operational metadata.  Ignoring the op

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1 Jan, 1999

Strategies for Implementation and Use of Operational Meta Data in the Data Warehouse (Part 1)

01 January, 1999
Michael F. Jennings
Metadata Types

Strategies for implementing operational metadata can improve the design and performance of any data warehouse or business intelligence environment. Many data warehouses and analytical systems include metadata management as part of their architectural considerations, but they do not explore fully the strategic approaches to using operational metadata.  Ignoring the opportunities that a focus on me

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1 Jan, 1999

Metadata: The Key to Decision Support

01 January, 1999
David P. Marco
MME

Managed metadata using a repository is the foundation of a successful decision support or analytics system.  Business intelligence needs metadata's capabilities. Introduction Building a metadata repository MME  is critical for accessing, maintaining, and controlling the vital information stored in our decision support (DSS) or analytics systems.  While metadata has always been a central covenan

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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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