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How Modeling adds Value to a Data Dictionary

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 strategic business initiatives.

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What is the CDMP® Enhance Your Data Management Career!

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 knowledge and experience in its various subject

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Identifying Business Value for Data Governance and Data Stewardship

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 activities

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Data Governance Guiding Principles

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

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Foundations of 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 data from disparate

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Business Processes and Logical Process Modeling Overview

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 prepare to implement software

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Reference and Master Data Management

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 among related data in different records, files, tables and

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