Real-World Data Governance
by Robert S. Seiner
The Path to a Successful Data Governance Program
In this article, Bob Seiner writes about his new monthly webinar series with Dataversity as well as the importance of "keeping it real" when it comes to implementing data governance.

Leveraging the Regulatory Stick
by Nicola Askham
Anyone who has tried to get a data governance or data quality initiative started will know from experience that they are notoriously difficult to get buy in for and gain enough momentum to get started. Most people understand and accept that there are potentially huge benefits to be had, but finding a business driver that is important enough to be high on an organisation's agenda, particularly during challenging economic conditions, is difficult to say the least.

Proactive and Reactive Techniques to Address Information Quality Challenges Head On
by Jay Zaidi
In many instances band aids are applied to take care of information quality issues, rather than addressing the root cause(s). In this article Jay Zaidi tells us that addressing the root causes may not always be possible, due to constraints related to legacy systems that are hard to modify, aggressive time lines to address business requirements, lack of skilled resources, budgetary constraints, to name a few.

Architecture Made Easy, Part 13
by Sean Kimball, James Luisi, Manish Munshi
The New Philosophy of Enterprise Architecture
Businesses have many tools at their disposal. However, discovering ways of deploying them to better compete in the marketplace is not always obvious, although the rewards can be significant.

Data Governance: Messages for Management
by Robert S. Seiner
Originally Published in TDAN.com in April 2010
In this article, Bob Seiner shares important messages to take to your management: “Our organization already governs data. We may do it informally, Sometimes inefficiently, Often ineffectively. But we already govern data. And we can do better.”

The Data Governance Test
by Robert S. Seiner
Originally Published in TDAN.com in April 2009
In this test, statements of data discipline and self-evaluation answers will guide you to build a message that you can convey to your boss, or your boss's boss, or even their boss to let them know that there is an inexpensive, practical and pragmatic approach, a “Non-Invasive Data Governance”™ Approach, to governing your organizational data resources.

Key Features Needed in a Data Modeling Tool
by Steve Hoberman, George McGeachie
Steve Hoberman and George McGeachie discuss the use of data modeling tools and point out the key features of those tools.

Ten Data Management Capabilities That Address Urgent Business Priorities
by Jay Zaidi
Jay Zaidi provides a few quick tips and advice to help organizations to better leverage their corporate data assets.

Data Models: The Center of the Business Information Systems Universe
by Michael M. Gorman
In this article, Michael Gorman answers the question, "Why data modeling?"

The Analytic Sandbox
by Paul Fong
Paul Fong explains how an analytic "sandbox" - a separate analytic environment for power users - can relieve traditional EDW and BI process issues.

Small Businesses Need Education in Enterprise Information Management (EIM)
by Anne Marie Smith, Ph.D.
Small and medium businesses need to be educated on enterprise information management to fully take advantage of its value.

On the Notion and Use of Architecture Principles in Transformation
by Danny Greefhorst, Erik Proper
Danny Greefhorst and Erik Proper discuss the concepts and principles of enterprise transformations, and suggest a practical approach.

Lean Principles and IT Demand Management
by Ashu Bhatia
IT spending level is usually based on historical or competitive benchmark levels. In this article, Ashu Bhatia describes how, given the current global economic climate, many IT organizations’ frozen budgets and cost-cutting drive down value-adding and innovative IT initiatives.

Data Types of the Future!
by Bill Lewis
Bill Lewis provides an example of the untapped potential of data types of the future.

Matching DBMS to Improvements in RAM
by Joachim Wester
This article from Joachim Wester describes what the world would look like had a gigabyte of RAM not cost us more than an airplane when SQL and object oriented languages were born.

A Route to Streamlined Performance Reporting and Stronger Information Systems
by Derek Coursen
Nonprofit Human Service Agencies and the National Information Exchange Model
In this article Derek Coursen tells us how The National Information Exchange Model (NIEM) is beginning to facilitate advanced data integration among public human service agencies. Derek tells us that it is not too early for nonprofit human service providers to consider what the NIEM might offer them as well.

Try a Non-Invasive Approach to Data Governance
by Linda Briggs, Robert S. Seiner
BI This Week Q&A: Interview of Robert S. Seiner by Linda Briggs
In this interview Robert S. Seiner discusses how an approach he has trademarked as Non-invasive Data Governance can help organizations move more smoothly to a higher level of data management.

How to Draw an Architectural Data Model in UML
by David C. Hay
This article is an excerpt from David Hay’s latest book, UML and Data Modeling: A Reconciliation, recently published by Technics Publications.

If You Think You Can Do Without a Business Analyst …Think Again!
by George Bridges, Maureen McVey
George Bridges and Maureen McVey explain how crucial the role of a business analyst is to strategic, project and organizational success.

Dynamic Structured Data Processing and Its Automatic Metadata Maintenance
by Michael M. David
Michael David explains how dynamic data structures enable a new set of powerful, unlimited data processing opportunities for your organization.

The Missing Link in Compliance and Governance
by Daragh O Brien
Daragh O'Brien explains that real quality requires a sustainable change in attitudes and awareness.

Architecture Made Easy, Part 12
by Sean Kimball, James Luisi, Manish Munshi
The New Philosophy of Enterprise Architecture
James Luisi, Sean Kimball and Manish Munshi look at the changing world of enterprise architecture and provide tips for developing architectural frameworks for IT that address the critical needs of the business.

Some Types and Uses of Data Models
by Matthew West
This article is adapted from Developing High Quality Data Models by Matthew West. This Chapter 3 excerpt discusses the different types and uses of data models, what they are good for, what the differences are between them, and the sorts of data models that are the focus in this book. The author then analyzes the needs of an integration architecture and the special requirements it puts on a data model.

The Chalk Talk
by David A. Bartholomew
Driving Improvements in Competitive Position
This article from David Bartholomew is an excerpt from his book, The Diamond Principle. The focus of the Chalk Talk is on Driving Improvements in Competitive Position Through Alignment of People, Process and Technology in Your Company

Dealing With Data Accidents
by Julian Schwarzenbach
Julian Schwarzenbach discusses the best methods of reporting and dealing with data accidents.

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