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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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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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