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DAMA-DMBOK© Overview

The DAMA-DMBOK© is the premier reference guide for all aspects of the data management profession, covering all components of data management with best practices and expert advice. Introduction Every profession has its “body of knowledge,” a collection of best practices

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Data Management Maturity Overview

Measuring the maturity of an organization’s data management capabilities against a standard model provides structure and the ability to gauge progress over time Introduction Organizations do not know how to treat data as an asset.  As evidenced by the fact

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Foundations of Data Stewardship

Data stewardship is the role practiced by business staff that implements the policies and standards developed by data governance professionals. Data stewards ensure the quailty of data for use. Introduction Data stewardship is the management and oversight of an organization’s

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Enterprise Data Modeling

Enteprise data modeling is an essential component of strong enterprise data architecture, with subject, conceptual and enterprise logical models based on business concepts and requirements Introduction In many organizations, there is no way to understand the scope and variety of

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Common People Project Management Challenges

Many project management challenges are centered on the people involved in a project; part of the “people, process, technology” triangle as the basis of all organizations Introduction There are still some common project management challenges, despite the huge efforts from

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Increasing the Business Value of Business Intelligence

Organizations can find increased value in business intelligence and analytics efforts through the use of various data delivery strategies. Introduction Like many organizations, your company probably has invested significant time, effort, and money into establishing your data warehousing and business

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Challenges to Data Governance Deployment

Challenges to successful data governance deployment are numerous, but can be avoided or overcome through attention to best practices and industry standards Introduction Corporate interest in data governance often starts with recognition within data integration projects that there is a high

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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

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