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Foundations of 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 external sources. These technologies are combined to support

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Data Governance Assessments

Evaluating the current state of data governance practices is an excellent way to learn about the organization’s approach to managing data as an asset, and to improve data governance performance. Introduction Organizations considering a new approach to data governance frequently wonder about the current state of their data governance efforts.  The enterprise may have started a data governance program at

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Enterprise Data Management Assessment

Assessing the current state of an organization’s data management efforts can lead to awareness of strengths, areas of improvement and paths to progress Introduction Many organizations have begun to explore the need for an enterprise data management strategy to leverage the value of the data and information they collect, store, use, and propagate.  In addition, executives have started to see

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Business Rules Overview

Business rules tell an organization what activities it should perform to achieve a defined and desired result.  Business rules should be documented to be most effective across the organization. Introduction At their highest level, business rules tell an organization what activities it should perform to achieve a defined and desired result.  Many organizations first develop a business strategy to provide

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Foundations of Data Security

Effective data security ensures that the right people can use and update data as it was intended to be used, and that all inappropriate access and update is prohibited. Introduction Protecting sensitive data is the ultimate goal of all information technology and data security practices; some major objectives would be to avoid identity theft, protect data privacy, prevent resource /

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Foundations of Data Governance

Data governance is the foundational component of the enterprise data management function.  It is responsible for the development and implementation of policies and standards for managing data and information across and within the organization. Introduction Data governance is the planning, oversight, and control over management of data and the use of data and data-related resources, and the development and implementation

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Foundations of Project Management

Every organization must perform project management according to the accepted principles and using the approved processes and procedures to enable successful results. Introduction Every day, organizations are asked to accomplish activities that do not align into the “business as usual” format.  The Project Management Institute (PMI) defines a project as “a temporary endeavor undertaken to create a unique product or

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Enterprise Data Strategy

An enterprise data strategy should be part of every organization’s strategic development.  A data strategy ensures the organization uses its data and information to support business goals. Introduction Most organizations have a business strategy: a plan of how the company will achieve its goals, meet the expectations of its customers, and sustain a competitive advantage in the marketplace.  Once defined,

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Foundations of Data Quality Management

Data quality is a function of data’s fitness for use to a particular purpose in a given context; measured against stated requirements or guidelines.  High data quality engenders trust in operational and strategic decisions. Introduction Data quality is a perception or an assessment of data’s fitness to serve its purpose in a given context (Thomas C. Redman, 2008).  It is

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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 and proven techniques for performing the functions of the discipline.  Project Management has the PMBOK (Project Management Body of Knowledge);

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