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Data Governance Organization and Titles

Identifying the correct organizational structure for the data governance program and naming the roles with the proper titles will ensure credibility and visibility for data governance and data management across the organization     Introduction For many organizations, titles are one of the ways that performance is distinguished or acknowledged, while in other organizations there is no coherence in how different

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Effective Data Strategy Components and Steps

Every effective enterprise data strategy should consist of an analysis of the organization’s people, processes, technology, and organizational structure – and follow proven implementation steps. Introduction Along with understanding the concepts of a data strategy, it is important to know the parts of an enterprise data strategy.  Each organization should develop and follow the proven implementation steps that lead to

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Three Simple Steps to Communication Success

Communication and miscommunication affect projects and so much more. There are simple steps anyone can take to improve all communications Introduction Most people have witnessed situations where two project team members start out talking calmly, then quickly escalate to a heated debate. Once the conversation starts, over time, the volume level increases, the participants start waving their arms wildly, and

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Agile Compliance Management

Although the need for regulatory compliance may seem to negate the ability to become or remain agile, many organizations have discovered they can adopt and use LEAN and / or agile techniques and sustain their compliance activities successfully. Introduction In the business world, the term agility describes the ability of an organization’s system to quickly respond or adapt to changes

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Creating an Enterprise Information Management Center of Excellence

Organizations that want to realize the value of their data and information as enterprise assets should consider forming and sustaining an Enterprise Data / Information Management Program Office or Center of Excellence. Introduction Many organizations decide that implementing some form of enterprise information management (EIM) or enterprise data management (EDM) is a fantastic idea. They assess their current state of

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Effective Data Warehouse Testing Strategy

Preparing a data warehouse testing strategy can ensure the successful development and completion of end-to-end testing of any data warehouse, data mart, or analytical environment. Introduction Organizations need to learn how to build an end-to-end data warehouse testing strategy. This is most often necessary because the success of a data warehousing project is highly dependent upon the team’s ability to

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Data Services as Part of Enterprise Architecture

Data services support the emergence of data offices and data-centric architectures to allow organizations to develop opportunities for improved data management and usage Introduction Data Service is a part of a data-centric architecture. A good data-centric architecture has many benefits and organizations should focus on clarifying the reasons, opportunities and strengths of this architectural style. What is a data service?

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Introduction to Data Warehouse Testing

An Overview of Data Warehouse Testing Data warehouse and data integration testing should focus on ETL processes, BI engines, and applications that rely on data from the data warehouse and data marts. Introduction There is little that casts doubt on a data warehouse and BI project more quickly than incorrectly reported data.  It is crucial that data warehouse project teams do all in their power to deliver reports with high

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Data Office as Part of Enterprise Architecture

A Data Office has become a reality as part of many organizations’ enterprise architecture frameworks.  A data office can support moving the organization toward a data-centric view for enterprise services and solutions.. Introduction Data Office, data service, data-centric architecture, data governance, chief data officer, etc. are some terms that have become part of the language of data management professionals.  More

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Agile Program Framework for Data and Analytics

It is important to connect program-level agile frameworks with data and analytics delivery and the variety of application programs that will benefit from agile, flexible development   Introduction As many organizations move beyond agile for individual projects, they make a transition to program-level agile frameworks.  Although these frameworks provide some guidance on how to support agile programs with shared services provided by

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