Jump start your MDM education with our portfolio of sample data models. Our examples provide you with an operational view of both semantic modeling and data authoring to help you visualize how to approach your own, unique MDM needs.
These materials are free for you to use, without limitations, under a Creative Commons license. And, in order to enable you to experiment fully with the data models, our partner, smartdatagovernance.com, will provide you with access to a free, cloud-based MDM platform for thirty days. There you will be able to explore and modify our data models, or use your newly acquired knowledge of best practices for MDM to build your own!
These materials are free for you to use, without limitations, under a Creative Commons license. And, in order to enable you to experiment fully with the data models, our partner, smartdatagovernance.com, will provide you with access to a free, cloud-based MDM platform for thirty days. There you will be able to explore and modify our data models, or use your newly acquired knowledge of best practices for MDM to build your own!
Because we know that providing sustainable master data models still remains a complicated work for many organizations, we have decided to help you through a very innovative way.
Throughout this form you can send MDM Alliance Group a description of your business domain in a maximum of 10 pages. Then, we will provide you a semantic data model (UML) and its implementation in the MDM Cloud platform smartdatagovernance.com.
Pierre Bonnet, Founder of MDM Alliance Group
Throughout this form you can send MDM Alliance Group a description of your business domain in a maximum of 10 pages. Then, we will provide you a semantic data model (UML) and its implementation in the MDM Cloud platform smartdatagovernance.com.
Pierre Bonnet, Founder of MDM Alliance Group
Quite lost in data management? Indeed, there are many concepts that must be mastered: business dictionary, enterprise data architecture, business object, business object's life cycle, semantic data modeling, logical data modeling, model-driven MDM, data governance functions, data workflow, data business rules, etc.
How to assess the performance level of your organization in data management? What is the value of your current data asset? What IS target is the right one?
Take a few minutes and have a look at our assessment tool established with our sister community Sustainable IT Architecture. Jump here and enjoy this open source tool.
How to assess the performance level of your organization in data management? What is the value of your current data asset? What IS target is the right one?
Take a few minutes and have a look at our assessment tool established with our sister community Sustainable IT Architecture. Jump here and enjoy this open source tool.
UML qualifier attribute in a MDM
In this video you will see a semantic data model with UML qualifier attribute, its derivation into a logical data model and then how it is uploaded and used by the MDM system, without any software development. Moreover, you will see how to test by yourself this data pattern in the Cloud Computing!
Duration 10.56
Get ROI indicators to justify your semantic modeling
Have a look at this slides desk (17 slides, PPT, 0.9 Mb)
This is a creative commons by MDM Alliance Group.
You can reuse this material freely.
New book by Sustainable IT Architecture
August - 2011 - Our sister community "Sustainable IT Architecture" has published a new book presenting a methodology to assess the Intrinsic Value of IS Intangible Assets. These IS Assets are based on Master Data (MDM), Business Rules (BRMS) and Processes (BPM).
If you are looking for a method to compute the Intrinsic Value of your Master Data and understand how it relates to Business Rules and Processes values, you will find in this book a sharp material to make your MDM/BRMS/BPM program successful.
Watch this video of Pierre Bonnet explaining his book's goals. In French (duration: 14:00) - The Intrinsic Value of IS Intangible Assets reveals their sustainable values regardless of organizational and financial issues. It complements with methods dealing with organizational assessment (CMMI, COBIT, ITIL...) and financial frameworks such as IAS-IFRS.
You can get further information by following this link.
You can get further information by following this link.
UML association with a qualifier attribute in a MDM
In this data pattern you will learn how to model roles that are played by Parties in relation to Real Estate.
Download the factsheet (PDF, 35 Kb)
Time management and UML reflexive association in a MDM
Classification and UML reflexive association in a MDM
Easy-to-understand Data Pattern for MDM
Classification - Associative class and reflexive association
In this data pattern you will find a genric model to manage classifications or taxonomies
Download the factsheet (PDF, 38 Kb)
Classification - Associative class and reflexive association
In this data pattern you will find a genric model to manage classifications or taxonomies
Download the factsheet (PDF, 38 Kb)
How a MDM can help company to enforce financial regulations?
In this video, we explain how a MDM system can be used to enforce financial regulations. A use case is described in the context of XBRL based on a implementation with the MDM EBX developped by Orchestra Networks.
Duration 08:38
How to master data modeling in a MDM program?
In this video, we highlight how to establish a rich unified data model. This is also the opportunity to define what a Master Data is.
Duration 13:03
Data management maturity level assessment
In this video, Pierre Bonnet highlights the process to assess your maturity level in data management. This process relies on the IS Rating Tool published by Sustainable IT Architecture under a creative commons license, it means free of use. Watch this video to find out how to measure your matury level within a scale from "A" to "D"'.
Duration 10:16
Data management in the Cloud Computing
In this video, Pierre Bonnet gives a blueprint to succeed in data management in the Cloud Computing landscape. He introduces the concepts of Business Cloud and Logical Cloud.
Duration 7:39
MDM lifecycle development and Model-driven approach
In this video, Pierre Bonnet gives a quick view of the suitable MDM lifecycle development. The key discrepancy between MDM limited to a relational approach only and Semantic Oriented MDM is highlighted.
Duration 6:45
INTHEBLACK, Christophe Barriolade, CEO at Orchestra Neworks, talks about the importance of a MDM system to mitigate financial risks and enforce new financial business regulations compliance. He is quoted in Tonny Wong article.
Dan Power is the founder and president of Hub Solution Designs, Inc. In his recent white paper "A Real Multidomain MDM Solution or a Wannabe", Dan Power highlights the importance of having a Model-driven MDM. Read online the paragraph related to this topic here.
Published on October 26th, 2010
Supporting the economic growth with a transparent pricing approach
Find out how a MDM system can support your growth (PDF, 30 Kb)
French reader - Découvrer comment le MDM peut supporter votre croissance (PDF, 30 Ko)
Want to share your opinion directly to the author's blog? Please, jump here.
Find out how a MDM system can support your growth (PDF, 30 Kb)
French reader - Découvrer comment le MDM peut supporter votre croissance (PDF, 30 Ko)
Want to share your opinion directly to the author's blog? Please, jump here.
Published on October 26th, 2010
Get the MDM passport
Keep your MDM passport in your pocket
when traveling in the MDM landscape
when traveling in the MDM landscape
Never go on a MDM journey without having in your pocket your MDM passport. You will avoid blind alleys and failures. You will always have with you the following answers:
- terms and definitions,
- strategic aspects,
- return on investment,
- maturity levels,
- data gouvernance functions,
- modeling procedures.
Fill out this form to get it right now.
The MDM Alliance Group's Book
Enterprise Data Governance
Master & Reference Data Management - Semantic Modeling
Overview and foreword
Sponsored by Orchestra Networks
Master & Reference Data Management - Semantic Modeling
Overview and foreword
Sponsored by Orchestra Networks
Assess your MDM
By using our Data Assessment framework
Published by Sustainable IT Architecture Community
Access to the IS Rating Tool
Published by Sustainable IT Architecture Community
Access to the IS Rating Tool
Extended MDM uses cases
Published by
Sustainable IT Architecture
Community
Published by
Sustainable IT Architecture
Community
To stay tuned with MDM Alliance Group,
join us in the Linkedin Group hosted by Sustainable IT Architecture Community
join us in the Linkedin Group hosted by Sustainable IT Architecture Community
Want to follow Pierre Bonnet?
Find out Sustainable IT Architecture community, the sister community of
MDM Alliance Group
MDM Alliance Group
Need to assess your IS Assets (Data, Rules and Processes)? Jump to the IS Rating Tool published by Sustainable IT Architecture
In order to avoid reinventing the wheel, Pierre Bonnet, founder of the MDM Alliance Group (MAG) Community, has initiated a complete Guide describing UML procedures to successfully model ref/master data. This guide is freely downloadable (creative commons).
Making your project compliant with the MDM modeling procedures greatly reassures your company by securing state-of-the-art modeling techniques. Your company is not locked in a proprietary method and your systems integrators and consultants are able to concentrate their efforts on real added-value for your business.
Making your project compliant with the MDM modeling procedures greatly reassures your company by securing state-of-the-art modeling techniques. Your company is not locked in a proprietary method and your systems integrators and consultants are able to concentrate their efforts on real added-value for your business.
When building an operational database do you reinvent the normal forms of relational database? Surely not. So when establishing a MDM solution the MAG's procedures provide company with the basis for the ref/master data modeling. With help from those procedures the risk of heterogeneous data models depending on specific practices of each business users and IT specialists is strongly reduced.
