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March 03, 2010
The Netherlands Ministry of Justice Metadata Workbench: Composing XML Message Schemas from OWL Models

Exchanging information between government parties requires a consistent, reusable and repeatable approach to specifying data exchanges as structured electronic business documents built from components. At the Ministry of Justice in The Netherlands, hereafter referred to as “The MoJ,” a new approach is underway to construct XML Schemas from OWL Ontology Models.

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01.11.10
Data Service Design

 If you are anything like me, as a data professional you’ve experienced many frustrations in your career due primarily to things that have occurred or choices that were made long before you were around (over which you had no influence and with which you must now live). However, with the recent popularity of service oriented application development, we now have a chance to lay a solid foundation when it comes to providing data services: one that will eliminate ambiguity around sourcing and meaning, one that provides a framework for consistently applying data management principles, and one that will enable the promise of a service oriented architecture (SOA).

05.18.10
Applying Six Sigma to Master Data Management (MDM) - Framework for Integrating MDM into EA, Part 2

Part 1 of this article, Six Sigma and MDM, discussed applying Six Sigma methodology and principles to Master Data Management (MDM) programs. Part 2 examines a framework for MDM that includes architecture, process and governance tasks. As part of this framework, I build a case for integrating MDM into your overall Enterprise Architecture. This article goes on to examine the processes of implementing MDM and concludes with some concrete suggestions for implementing master data governance.

03.08.10
Enterprise Data World 2010 Webcast Series

Some of the presenters from EDW 2010 are participating in a series of Webcasts related to topics that will be covered in more depth at the event.  Each Webcast is about one hour in length and is recorded. 

01.11.10
Avoiding Common DM Mistakes

One of the great promises of service oriented architecture is to ameliorate data integration challenges faced by many organizations struggling to integrate disparate technologies and systems.  While adopting SOA can be extremely advantageous in easing data integration woes, it is important to understand that SOA is not a replacement for fundamental information management practices.  Indeed, the benefits of SOA are predicated on intelligent information management practices and policies. 

01.11.10
Data Governance Defined

Data governance is one of those topics that many people agree to talk about, explore, and even implement.  However, when you ask for a definition, you get many different answers.  Often you will get a sort of “I know it when I see it” reply.  This answer is not conducive to success.  Businesses and organizations prefer to deal with topics that offer solutions to problem or exploit opportunities.  Part of the bad reputation of internal IT departments is due to the perception of fad-hopping.  Repositories, data warehousing, and information engineering are all topics that went through a bit of hashing about before the dust cleared. It goes without saying that all three developed perceptions of ‘failure to deliver’ at the CXO level.  Often the success stories of a particular topic were intertwined with a business project, and discerning the exact role of the technology was difficult.  The definition of the technology often varies across success stories as well.

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John Ladley's picture
January 11, 2010
Data Governance Editorial

Welcome to the first edition of the Enterprise Data Journal, and thank you from the outset for taking a look at our new venture. Please continue reading!  We hope you will find that EDJ has a unique mission and value proposition.  We do not intend to duplicate the excellent work that is already being done by the other online trade publications in the data, information, and knowledge areas.  Rather, we hope you’ll think of us as a focused, data-specialized business journal, ideally in the mold of the Harvard Business Review but on a more modest scale.  We will for example, be lending a very strong business emphasis to our content.  Our intention is that our articles will be just as easily read by a non-technical CXO as by an information strategy or data warehouse manager.  Indeed, we’d like to be a bridge between those roles whenever possible.  Our articles will be pithy and direct, written for rapid consumption and maximum business impact.

John Ladley's picture
January 11, 2010
SOA Editorial

Welcome to the second issue of the Enterprise Data Journal.  Like other sophomore efforts, we are benefiting from lessons learned from our first issue.  Most notably we are delighted at the response of readers willing to participate in the collection of pertinent data.  In general we were well received, but at the same time, we are addressing any critiques that provided positive feedback.  Thanks again. 

John Ladley's picture
January 10, 2010
Analytics Issue Editorial

This edition of EDJ is the first of a two part series on analytics and data warehouse.  We are focusing on these two topics because the former is going through a new wave of offerings and interest, and the latter, while required in some manner, has been around for nearly 20 years. 

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Resources

Resources

Explaining EIM in Business Terms

Enterprise Information Management (EIM) contains a lot of abstract concepts that are of interest to information architects, and of no interest at all to CxOs. So how do you present your EIM program and projects? In this webinar, John Ladley will cover how to describe and communicate key concepts like Information Asset Management, Information Maturity, and Data Governance at the CxO level.

RECORDED WEBCAST: Agile Analytics: Making Business Intelligence Work for the Business

Making effective use of information is a central focus of organizations both large and small in our contemporary competitive landscape. Information is an asset to exploit without restrictions on accessing new data and using it to provide better insight on overcoming business challenges.

RECORDED WEBCAST: Look Further on Up the Road: Anticipating & Addressing Data Governance Trials & Tribulations

No matter where you are in the development and deployment of your Data Governance program, you should always anticipate the trials and tribulations you will encounter along the way to achieving a sustainable and successful program. This webinar from Robert S. Seiner will briefly describe key points he will address in his half-day tutorial at the Data Governance Conference in San Diego in June. This webinar will briefly introduce ways to anticipate and address issues surrounding:

RECORDED WEBCAST: Now you have data governance up and running. Now what?

Is it self sustaining? (no) Is it hard to keep going? (yes) This webinar will highlight major roadblocks to keeping Data Governance programs running and some simple remediation strategies.

RECORDED WEBCAST: Better Business Definitions for Data Integration

All data professionals acknowledge the importance of definitions, but there is very little guidance on how to formulate and manage them. This is reflected by tool vendors, which emphasize the features of the containers for definitions, but say very little about the content of definitions. This presentation examines what definitions consist of and how high quality definitions can be produced.

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