Data Management University Blog

Facilitate Customer Integration using Generic Dimensional Modeling Techniques

October 10, 2005

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 penetration, customer retention

Designing the Optimal Metadata Tool

July 1, 2005

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 what types of functionality and

Metadata Strategy Overview

July 1, 2017

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 change

The Importance of Data Integration

July 1, 2017

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 Officer (CEO) level

Metadata Management and Enterprise Architecture

January 1, 2004

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 exist throughout our industry. This situation has

Data Architecture and Packaged Implementations Part Three

October 1, 2003

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 implementation. There

Data Architecture and Packaged Implementations Part Two

July 1, 2003

Every organization should follow a set of guidelines for implementing packaged applications to ensure architectural harmony and avoid numerous problems. Previously 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 implementation. There was a

Business-Focused Data Analysis

January 1, 2003

Business-focused data analysis activities allow for understanding data and correcting any discrepancies, regardless of systems design or implementation Introduction initiative is the first attempt at bringing business data together from multiple sources in order to make it available across different departments. Organizations that use a traditional system development approach on their data warehouse (DW) projects usually run into severe source

Data Mining

October 1, 2002

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

Use of Metadata Entities in Abstraction

October 1, 2002

Metadata supports the conditions that uses of abstraction in data modeling, ensuring lasting and scalable data models When I write on abstraction, I like to remind the reader of a very abstract painting I observed in a museum, which consisted of a white dot on a red canvas that represented a city skyline. In my first article in this series,

Work With Us

Pass The DAMA CDMP^®

Subscribe to DMU

Search DMU Library

Categories

Facilitate Customer Integration using Generic Dimensional Modeling Techniques

Designing the Optimal Metadata Tool

Metadata Strategy Overview

The Importance of Data Integration

Metadata Management and Enterprise Architecture

Data Architecture and Packaged Implementations Part Three

Data Architecture and Packaged Implementations Part Two

Business-Focused Data Analysis

Data Mining

Use of Metadata Entities in Abstraction

DMU Sponsors

Additional Resources

Quick Links

Services

Contact Us

Follow Us

Contact us

Request a free consultation
with a DMU Expert

Subscribe To DMU