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Automation can be a friend in sorting out the truth However, automation can propagate damage when it is not managed properly Information technologists will point to the middleware and enterprise services as being different between what we suggest as smart data versus the norm Smart data leverages metadata and open standards and introduces semantic mediation to produce an interoperable mechanism for data exchange that is independent from hard coded and brittle standard interfaces Smart data advances more cost-effective data exchange and business transacting as a result Who would resist change The answer is that most certainly the vendors that have vested interest in the status quo, and they are considerable in size and number Strong customer enterprise executive leadership is essential to free the grip from legacy practices and infrastructure What does a smart data environment look like (Can one tell the difference ) The information systems skill set and infrastructure for a smart data environment is different from the as-is state The differences will appear in the organization chart, job skills, and corresponding spreadsheet as well as the introduction of performance standards that einforce proactive support for executives A principal analyst function will accompany the support system to provide customized response capability How does it perform differently from other data Smart data strategy enables accurate data exchange and robust actionable data to support executive management It does this in an open and interoperable environment characterized by high collaboration among participants At what does the smart data strategy take aim Otherwise, what is the enemy Can the enemy be the absence of data strategy Can the enemy be de cient data strategy and technically de cient methodologies for data management and exchange Before we direct the ght, we have much more to discuss Our proposed technical solution builds on the IEEE description below; however, leaping to the technical approach requires much greater understanding by senior executives about needs, problems, and requirements as well as the business case Therefore tuck this away as it is intended for executive note and review (but for the exceptional executive in pursuit of technological advantage a deeper understanding may be desired) Observe also that this early description appeared in 1991 There has been much iteration during the 19 years since, which indicates that the approach and smart data strategy required signi cant development and maturity before only now being employed as a practical and much needed solution It is in the search engines that we see rigorous application of semantic mediation, for instance, in what is called natural language processing Google, Lexxe, and Powerset (a Microsoft acquisition) are examples They address unstructured data interpretation problems for which applications are here and now. library on .net generate, create qr bidimensional barcode none on . 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Gary began his career as a financial controller and operations manager for FMC Corporation and he has been a management consultant with Deloitte, KPMG Peat Marwick, and Electronic Data Systems (EDS). Gary was the lead author of the acclaimed An ABC Manager s Primer sponsored by the Institute of Management Accountants (IMA). Gary s second book, Activity Based Cost Management: Making it Work, was judged by the Harvard Business School Press as read this book first. Gary s third book, Activity Based Cost Management: An Executive s Guide, has ranked number one in sales volume of 151 similar books on BarnesandNoble .com. Gary has also written Activity Based Cost Management in Government. His latest book is Performance Management: Finding the Missing Pieces to Close the Intelligence Gap. 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