Challenges of Data Warehouse Re-Architecture

21 July, 2017

Bruce D. Johnson

Data Warehousing

Data warehouse / business intelligence / analytics environments require business and IT cooperation for successful architecture and design Introduction In working with many large corporations across a variety of industries, it is clear that we all face the reality of re-architecting data warehouses, whether we want to admit it or not. Since data warehouses are business driven (rethink your strateg

The Increasing Importance of Metadata and Lineage

17 July, 2017

Darshil Mehta

Metadata Management

The increasing value of data and information demonstrates the need to know the lineage of the data and its metadata to understand its relevance to operations and decisions Introduction The data landscape is changing faster than before. Big data, legacy data, external data, internal data, data of data and much more; organizations want to use all possible types of data where they can because there i

Foundations of Database Operations

17 July, 2017

Anne Marie Smith, Ph.D.

Database Operations

Database operations is the development, maintenance, and support of structured data to maximize the value of data across the organization. This function includes database support and data technology management. Introduction The management of database operations provide support to the organization for its data and information, from data acquisition to data purging. Database support is at the heart

Four Foundational Data Governance Policies

05 October, 2016

Anne Marie Smith, Ph.D.

Best Practices

New

Every organization needs a set of foundational policies to manage the basic operations of data governance.  Policies are different from guiding principles Introduction Every organization needs to create and maintain a set of basic or foundational policies to manage the operations of data governance effectively.  Many people confuse the terms "policy" with "guiding principle."  Policies are "the

Metadata Management Fundamentals

05 April, 2017

David P. Marco

Metadata Management

New

Metadata management is one of the foundational components of an enterprise data management initiative. Many organizations struggle with its incorporation into their data management processes. Metadata Management’s Relationship to Data Management Data Management is one of the hottest topics in our industry as Global 2000 companies and large government agencies are beginning to understand that wit

Responsibility for Textual Data

03 July, 2017

William H. Inmon

Best Practices

New

Textual data is a valuable component for business analytics, but the responsibility for gathering and managing textual data is unclear. Consider textual processing for delivering business value. Where does the end user turn? The end user certainly recognizes the value of textual data. Intuitively the end user knows that there is a wealth of value to be found in text. But the end user also knows th

Is Text Unstructured?

23 June, 2017

William H. Inmon

Best Practices

New

Text, the basis of language, can be considered to be unstructured by technicians. However, for others, text and language have a definite structure. It is the simplest of questions. Ask any technician if text – language – is structured or unstructured. If your technician is knowledgeable, the technician will assure you that text is unstructured. In fact the technician will think that you are so

Managed Metadata Environment (MME): A Complete Walkthrough

05 June, 2017

David Marco

Metadata Management

New

A managed metadata environment (MME) is the optimal approach to metadata architecture for meeting business and technical requirements Introduction Almost every corporation and government agency has already built, is in the process of building, or is looking to build a Managed Metadata Environment (MME), either as part of a metadata solution or within an enterprise data management initiative.  Man

The Third Dimension in Project Management

30 May, 2017

Waffa Karkukly

Project Management

New

Project management requires the use of a solid framework and an experienced project manager to ensure the success of any project, any size, in any industry Introduction I was hooked on watching the Iron Chef - what got me interested in this show was the project manager in me. Watching these highly skilled chefs be provided with the exact same ingredients, tools, time, and assistance; yet, only one

Six Myths about Data Quality

28 January, 2017

Steven Sarsfield

Data Quality

New

Master data management continues to be plagued by poor data quality, costing many organizations time, money, lost customers, lost reputation and inefficiencies. Introduction In several surveys, taken by various research organizations about master data management and data quality, on average, 83% of respondents reported that their organizations have suffered problems due to poor master data. Busin