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1 Apr, 2010
How Modeling adds Value to a Data Dictionary
01 April, 2010
David Dichmann
Best Practices
A well-modeled data dictionary can provide lasting value and ensure consistency of use throughout an organization for all data elements. Introduction The primary purpose organizations create and maintain a data dictionary is to standardize data content , context, and definitions to achieve consistency, reusability, and quality of the data that drives or supports the organization's tactical and str
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1 Apr, 2010
Metadata Infrastructure Planning Part 2
01 April, 2010
Douglas Viverito
MME
Metadata infrastructure planning should include all the MME layers while maintaining focus on the objective. Introduction It is essential to retain focus on the overall objectives of the organization's managed metadata environment (MME) to have a successful implementation. Within an MME's infrastructure, there are six layers, and each layer has specific purposes. A previous article explained ov
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5 Aug, 2016
Effects and Benefits of Managed Metadata
05 August, 2016
Anne Marie Smith, Ph.D.
Metadata Management
Do you know the numerous benefits and the effect that having a managed metadata environment will bring to your organization? Introduction Many organizations continue to struggle to understand the meaning and value of one of their most important and sustainable assets, data (and its companion, information). Data are raw facts, presented without context. Metadata is the "data about data," the "c
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5 Jul, 2016
What is the CDMP® Enhance Your Data Management Career!
05 July, 2016
Anne Marie Smith, Ph.D.
Data Management
Certification is an essential component of any professional career path. Every data management professional should earn the Certified Data Management Professional (CDMP) designation. Introduction The Certified Data Management Professional® (CDMP) ® credential is the designation earned by data management professionals who are committed to a career in the field and want to demonstrate their kno
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5 Jun, 2016
Identifying Business Value for Data Governance and Data Stewardship
05 June, 2016
Anne Marie Smith, Ph.D.
Organization
Ensure that your organization can identify the actual business value data governance and data stewardship contribute to start and maintain the program Introduction Often, data governance and data stewardship programs are cited for a lack of tangible metrics that indicate the success of the initiative. Without identifying criteria for measuring the results of the data governance program and the a
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5 May, 2016
Data Governance Guiding Principles
05 May, 2016
Anne Marie Smith, Ph.D.
Organization
Base your data governance program on a set of enduring guiding principles to ensure long-term success! Introduction Guiding principles are statements that direct the organization in the course of its operations, in all circumstances, regardless of changes in management or other impermanent things. In a continuing program such as data governance, it is important to establish a set of points that
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20 Oct, 2015
Foundations of Data Integration
20 October, 2015
Anne Marie Smith, Ph.D.
Data Integration
Data Integration is an essential activity that allows an organization to combine data from disparate sources into a unified version for a variety of uses. Proper data integration starts at architecture, includes understanding requirements and the data, and ends with trusted valid results. Introduction Data integration is the collection of technical and business processes used to combine d
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20 Oct, 2015
Business Processes and Logical Process Modeling Overview
20 October, 2015
Anne Marie Smith, Ph.D.
Data Architecture
Business process modeling is an important component of business analysis, and enables organizations to understand the processes that manage the flow of data and information. Introduction To enable an information system to provide optimum benefits, the architect, designer and programmers must thoroughly understand the data and processes needed. An excellent way to gain this understanding and prep
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16 May, 2017
Reference and Master Data Management
16 May, 2017
Anne Marie Smith, Ph.D.
Reference & Master Data Mgt
Reference and master data provide the contextual capabilities for transactional data. Managing reference and master data enables organizations to understand operational data and analyze disparately collected data effectively. Introduction Reference and Master Data is the collection of generally non-transactional data that gives context to transactions, and provides connection points between and
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20 Mar, 2015
Foundations of Data Warehousing
20 March, 2015
David Marco
Data Warehousing
Data warehousing is the proven architecture for delivering subject-oriented, stable, analytical information for decision making. Effective data warehouse development provides many business benefits. Introduction A data warehouse is an enviroment that combines an integrated decision support database with software to collect, cleanse, transform, and store data from a variety of operational and ext
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