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2 - 3 Minute Data Management Videos

20 Oct, 2013

Foundations of Enterprise Data Management

20 October, 2013
David P. Marco
Data Management

Enterprise Data Management is the global function that facilitates the management of data as a valuable asset of an enterprise.  Its components align to provide the capabilities to manage data as an organization resource. Introduction Enterprise Data Management (EDM) is the global function that facilitates the management of data as a valuable asset of an enterprise.  As defined in the DAMA Inter


20 Oct, 2016

Logical and Physical Data Modeling Overview

20 October, 2016
Anne Marie Smith, Ph.D.
Data Architecture

Logical and physical data modeling are essential components of every organization's enterprise data architecture, and should form the foundation of every database design.  Standard techniques for logical and physical data modeling enable consistent development and usability.  Even though the concept of data modeling has been around for a long time, in many organizations it is interpreted differe


1 Oct, 2010

Increasing the Business Value of Business Intelligence

01 October, 2010
Mark Mosely
Data Warehousing / Business Intelligence / Analytics

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 intelligence environment.  You’ve built the databases and the ETL programs to move, clean and in


1 Oct, 2010

Common People Project Management Challenges

01 October, 2010
Waffa Karkukulky
Project Management

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 the project management consortiums, project management Subject Matter Experts (SMEs), and many companies that are embracing proj


1 Oct, 2010

Challenges to Data Governance Deployment

01 October, 2010
Deborah Henderson
Data Governance

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 variability in success and that this can be attributed, partially, to a lack of standardized approaches to d


1 Jan, 2010

Metadata Subject Areas

01 January, 2010
Mark Mosely

Metadata management should start with the identification of business subject areas to enable prioritization of all enterprise data management initiatives and related projects. Introduction Metadata is commonly defined as “data about data.” In fact, a more accurate definition might be “information about information assets.” These information assets may be data, processes, applications, or i


1 Apr, 2010

How Modeling adds Value to a Data Dictionary

01 April, 2010
David Dichmann
Best Practices

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 to achieve consistency, reusability, and quality of the data that drives or supports the organization's tactical and str


1 Apr, 2010

Metadata Infrastructure Planning Part 2

01 April, 2010
Douglas Viverito

Metadata infrastructure planning should include all the MME layers while maintaining focus on the objective. Introduction It is essential to retain focus on the overall objectives of the organization's managed metadata environment (MME) to have a successful implementation.  Within an MME's infrastructure, there are six layers, and each layer has specific purposes. A previous article explained ov


5 Aug, 2016

Effects and Benefits of Managed Metadata

05 August, 2016
Anne Marie Smith, Ph.D.
Metadata Management

Do you know the numerous benefits and the effect that having a managed metadata environment will bring to your organization? Introduction Many organizations continue to struggle to understand the meaning and value of one of their most important and sustainable assets, data (and its companion, information).  Data are raw facts, presented without context.  Metadata is the "data about data," the "c


5 Jul, 2016

What is the CDMP® Enhance Your Data Management Career!

05 July, 2016
Anne Marie Smith, Ph.D.
Data Management

Certification is an essential component of any professional career path.  Every data management professional should earn the Certified Data Management Professional (CDMP) designation. Introduction The Certified Data Management Professional® (CDMP) ® credential is the designation earned by data management professionals who are committed to a career in the field and want to demonstrate their kno



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