data modelling: Second Edition

How can the value of data modelling be defined? Can Management personnel recognize the monetary benefit of data modelling? Do we all define data modelling in the same way? What are the business goals data modelling is aiming to achieve? Does data modelling systematically track and analyze outcomes for accountability and quality improvement?



This limited edition data modelling self-assessment will make you the accepted data modelling domain master by revealing just what you need to know to be fluent and ready for any data modelling challenge.



How do I reduce the effort in the data modelling work to be done to get problems solved? How can I ensure that plans of action include every data modelling task and that every data modelling outcome is in place? How will I save time investigating strategic and tactical options and ensuring data modelling opportunity costs are low? How can I deliver tailored data modelling advice instantly with structured going-forward plans?



There’s no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all data modelling essentials are covered, from every angle: the data modelling self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that data modelling outcomes are achieved.



Contains extensive criteria grounded in past and current successful projects and activities by experienced data modelling practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in data modelling are maximized with professional results.



Your purchase includes access details to the data modelling self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.