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Statistical trends in industry and the social sector

Few statisticians have not met the frustration of facing a problem which cries out for statistical treatment but where there is blank refusal to use such methods. Excuses range from "we don't need to be clever about it" or "we all know you people can prove anything" or "we've got a computer package to do that should we ever wish to". At the other extreme, I am surely not alone in being asked from time to time to carry out very pedestrian consulting tasks: not really requiring detailed statistical method, but needing the "imprimatur" of the professional statistician to ensure respectability. These extremes of suspicious disregard and unwarranted veneration coexist at the present time they do not represent a time transition from the primitive age to the space age. Fortunately, however, they enclose a vast middle ground of close interaction between statistician and practitioner, and sound application of statistical techniques. It is this middle ground which I will be exploring, in as far as it relates to the fields of industrial, social and governmental applications of statistics with some indications of present emphases and emerging trends, and implications for support and relevant training.