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20 Aug, 2011

Foundations of Data Stewardship

20 August, 2011
Anne Marie Smith, Ph.D.
Data Governance

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 data assets according to established data governance practices.  Selected business users ensure that the organization has

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7 Jul, 2011

DATA MANAGEMENT MOMENT VIDEOS

07 July, 2011
Data Management Moment Videos

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20 Mar, 2011

Enterprise Data Modeling

20 March, 2011
Anne Marie Smith, Ph.D.
Data Architecture

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 the data captured, stored and used by the applications and business activities that need information.  An ent

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1 Jan, 2010

Getting Started On a Semantic Data Web Program

01 January, 2010
Pete Stiglich
More Data Geekery

The Semantic data web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries Introduction Interest in the Semantic Web has skyrocketed, along with interest in the implications of semantic technologies on traditional data management. The promises of the Semantic Web – for example, being able to find information regardless of t

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1 Oct, 2009

ISO 8000 Data Quality

01 October, 2009
Peter R. Benson
Data Quality

ISO 8000 defines the parameters of data quality, so one can ask for quality data and verify that one has received quality data Introduction It is common to see the relationship between data and information represented as a pyramid with data as the base rising through information and knowledge to wisdom as the apex. In researching the origin of this hierarchy, one discovers that the original refere

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1 Apr, 2009

Metadata Infrastructure Planning Part 1

01 April, 2009
Douglas Viverito
MME

Metadata infrastructure planning should start by focusing on the "big picture", which is the objective of the metadata program, and plan all the MME layers to maintain focus on the objective. Introduction When planning to implement a Managed Metadata Environment (MME) infrastructure, it is important to maintain perspective overall objective of the MME program and the fact that all the users will

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1 Apr, 2009

Data Rationalization and Semantic Resolution

01 April, 2009
Pete Stiglich
More Data Geekery

Data rationalization through managed metadata and data modeling, can support semantic resolution, enabling improved analysis and knowledge transfer. Introduction Across the Internet and within internal systems,, ontologies are used to improve search capabilities and make inferences for improved human or computer reasoning. By relating terms in ontology, the user doesn’t need to know the exact te

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1 Oct, 2008

Global Project Management Office Implementation Part 4

01 October, 2008
Waffa Karkukly
Project Management

Project Management Office (PMO) implementations need project portfolio management and project management tools to sustain the PMO function Introduction Part 1 covered requirements of creating a PMO and the steps needed for a successful PMO. This part also addressed a breakdown of the elements and processes which constitute the many components of a PMO. Part 2 addressed the challenges that face a n

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1 Oct, 2008

Agile Framework for Managing and Measuring Enterprise Business Intelligence

01 October, 2008
Karthikeyan Sankaran
Data Warehousing

To be agile, business intelligence and analytics systems need frameworks and metrics to enable stable evolution. Introduction Enterprise Business Intelligence and analytics solutions are complex implementation efforts because of the Develop – Support (Growth-Sustain) cycles followed concurrently. Every enterprise wide BI system continuously evolves over a period with new business functionality

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1 Oct, 2008

Dimensional Data Modeling Fact Qualifier Matrix

01 October, 2008
Pete Stiglich
Data Warehousing

Fact Qualifier Matrix capabilities can be expanded to improve the value of conformed dimensions in business intelligence and analytics systems Introduction The venerable Fact Qualifier Matrix (FQM) has been a tool long used for demonstrating for dimensional models how fact and dimension tables intersect to ensure that dimensional models are conformed. A key principle of dimensional modeling is th

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