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1 Apr, 2006

Migrating From “Independent” Data Marts

01 April, 2006
David P. Marco
Data Warehousing

Independent data marts cause many problems in data warehouse architecture; combining to result in numerous issues for business intelligence and analytics solutions. Introduction A severe disease has spread to epidemic proportions throughout our society.  This disease is particularly dangerous as it effects are not readily identifiable at the time of infection.  However if this condition goes unt

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1 Jan, 2006

Metadata Definitions – Common Data Stewardship Activities

01 January, 2006
David P. Marco
Data Stewardship

Creating and maintaining business and technical metadata definitions are two common data stewardship activities.  Doing them well is essential to data stewardship success. Introduction Data stewards  perform many common activities, including developing and maintaining data domain values, creating and managing business data rules, and supporting the data quality rules, validation and resolution p

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1 Jan, 2006

Observations on Data Strategy

01 January, 2006
Sid Adelman
Strategy & Roadmap

A data strategy can contribute to an organization's information strategic plan, and arrange for the productive use of the data asset. Introduction A Chief Financial Officer (CFO) was approached by the CEO and asked for an accounting of the company’s financial assets.  The CFO gave a vague response indicating a lack of knowledge of the corporate bank accounts, had little idea what was in each ac

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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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10 Oct, 2005

Facilitate Customer Integration using Generic Dimensional Modeling Techniques

10 October, 2005
Pete Stiglich
Data Integration

Customer data integration can be improved by using generic dimensional modeling techniques Introduction If you are undertaking a Customer Data Integration (CDI) or Customer Master Data Management (MDM) project as part of a dimensional modeling endeavor, how will you tackle the problem of how to store customer addresses? Using customer addresses for direct marketing, analysis of household penetrati

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1 Jul, 2005

Designing the Optimal Metadata Tool

01 July, 2005
David P. Marco
MME

Effective metadata management rs software require with robust functionality, enabling full capability for business and technical users Introduction Many government agencies and corporations are currently examining the metadata tools on the marketplace to decide which of these tools, if any, meet the requirements for their metadata management solutions.  Often these same organizations want to know

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1 Jul, 2004

Metadata Strategy Overview

01 July, 2004
Anne Marie Smith, Ph.D.
Metadata Management

Organizations need a strategy for managing metadata.  This strategy should be part of an enterprise data strategy, enabling the management of data as an organizational resource. Introduction Traditional systems development and implementation has focused on processes, rather than on data as the foundation of the enterprise.  A data orientation represents a major cultural change. It is not only a

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1 Jul, 2004

The Importance of Data Integration

01 July, 2004
David P. Marco
Data Integration

Following some proven guidelines for data integration will ensure success in data warehousing and business intelligence, analytics and related systems initiatives. Introduction Almost every Chief Information Officer (CIO) has the goal of integrating their organization’s data.  In fact, the issue of data integration has risen all the way to the Chief Financial Officer (CFO) and Chief Executive O

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1 Jan, 2004

Metadata Management and Enterprise Architecture

01 January, 2004
David P. Marco
MME

Every successful enterprise architecture relies on enterprise metadata management as part of its foundation. Introduction Almost every large government agency or Global 2000 company is struggling to properly manage an enterprise information technology (IT) architecture.  This difficulty is the direct result of the highly distributed, disjoined and overly expensive IT environments which currently

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1 Oct, 2003

Data Architecture and Packaged Implementations Part Three

01 October, 2003
Daniel Roth
Best Practices

Challenges to implementing data architecture with packaged applications can be overcome by addressing issues and challenges during design Introduction In a previous article I discussed some issues that a client encountered when trying to implement a packaged application. They were convinced that the business would make the decisions and IT was not going to interfere in their packaged implementatio

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