Presentation slides here
Excel sheet here
So your project is onboard with producing a logical data model and asks that terrifying next question: When will it be done? Depending on where you are in the requirements process, you may have a good idea or no idea what the scope of data is and how complex the data you need to define will be. Here’s a chance to review a few methods of estimating conceptual and logical data modeling efforts, a refresher on how each mitigates project risk, and the practicalities of how good model estimation techniques can garner stronger business and engineering adoption.
What You Will Learn
•Project Management view of Conceptual and Logical Data models – how they mitigate risk and what they should (and should not) be used for
•Standard estimation techniques – A very easy but rich methodology for appropriate estimates (T-shirt, VROM, ROM, Baseline)
•Practical approaches to modeling adoption in the business and engineering – How to leverage your estimates to help drive model adoption and maturity
Stacie Benton, CDMP, is currently the Enterprise Information Architect for the Bill & Melinda Gates Foundation. She spent a tour of duty in the consulting world as well as many years at Microsoft, slaying dragons, both transactional and BI, across the enterprise as well as in the Finance, Sales, Services, HR, and Marketing spaces. She spent years as a program manager in Microsoft IT and has the scars to prove it. She loves talking data and process in the same sentence as well as realizing the full potential of data through good data management.
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