QUESTIONSData Model Scorecard
Venue: Residenza di Ripetta
| Event Date/Time: Dec 17, 2008 | End Date/Time: Dec 17, 2008 |
Report as SpamDescription
Aim, wind, and gravity influence an arrow’s trajectory, much the same way as deadlines, skills, and biases influence a Data Model’s trajectory, strongly impacting whether a model will reach its target of appropriately representing a Business solution. The archer’s score can be quickly calculated and we can easily see the success or failure of her work. This is where the analogy ends however, because often we do not measure the strengths and weaknesses of our Data Models, leaving much up to interpretation, perception, and the test of time.
After years of reviewing hundreds of data models, I have formalized a set of Data Model quality criteria into what I call the Data Model Scorecardâ„¢. The Scorecard contains all of the criteria for highlighting strengths and identifying areas for improvement in our designs. This one day course will go into detail on the Scorecard, and provide techniques and tips for improving the quality of your models. You will learn to:
• Appreciate the need for an objective measure of Data Model quality
• Apply the Scorecard to different types of models. This includes subject area, logical and physical models, and both relational and dimensional designs
• Introduce the Scorecard into a development methodology and your company culture
Each participant will receive a copy of all presentation material and a copy of the book “Data Modeling Made Simpleâ€, by Steve Hoberman.
STEVE HOBERMAN
He is a world-recognized innovator and thought-leader in the field of Data Modeling. He has worked as a Business Intelligence and Data Management practitioner and trainer since 1990, and is a popular presenter at industry conferences, both nationally and internationally. Mr. Hoberman is a columnist and frequent contributor to industry publications, as well as the author of “Data Modeler’s Workbench†and “Data Modeling Made Simpleâ€. He is the founder of the Design Challenges group and inventor of the Data Model Scorecardâ„¢.
After years of reviewing hundreds of data models, I have formalized a set of Data Model quality criteria into what I call the Data Model Scorecardâ„¢. The Scorecard contains all of the criteria for highlighting strengths and identifying areas for improvement in our designs. This one day course will go into detail on the Scorecard, and provide techniques and tips for improving the quality of your models. You will learn to:
• Appreciate the need for an objective measure of Data Model quality
• Apply the Scorecard to different types of models. This includes subject area, logical and physical models, and both relational and dimensional designs
• Introduce the Scorecard into a development methodology and your company culture
Each participant will receive a copy of all presentation material and a copy of the book “Data Modeling Made Simpleâ€, by Steve Hoberman.
STEVE HOBERMAN
He is a world-recognized innovator and thought-leader in the field of Data Modeling. He has worked as a Business Intelligence and Data Management practitioner and trainer since 1990, and is a popular presenter at industry conferences, both nationally and internationally. Mr. Hoberman is a columnist and frequent contributor to industry publications, as well as the author of “Data Modeler’s Workbench†and “Data Modeling Made Simpleâ€. He is the founder of the Design Challenges group and inventor of the Data Model Scorecardâ„¢.
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