'And we got some very interesting figures. ... For example, taking the Multinational system as a whole, what were the error rates by screen on our Multinational system. Of the sample that they'd taken, we have things like 20% premium screens were wrong in some way and then we break that down in to what percentage had fields that were just ignored, what percentage had fields that did not agree with the underwriter's files, doing it for the UK and Holland and then combined, sort of any trend that they thought would be useful. And then pick the main ones to put into the report at the end. ...X065 page 001.01b (tape 05.1.01b) Jim Notes/Tape 14/10/94I mean underwriters were interviewed I think to find out what they thought as to why these errors were there. And we came to the final conclusion that the number of errors between what was on the system and what was on the paper files, no matter how stringent we make the tests on the system we can't trap that ... We found a significant number of cases where people didn't understand what they were supposed to put in especially when it came to the reinsurance side ... There seemed to be some transcription errors and there was also a lot of, 'where the hell has this come from?', nothing like it, get something in there just to fill it in. I think there was a little bit of that, personally ...
I think what was surprising we expected Holland, gave the impression ... Holland are close to getting all the policies in that they need as to the accuracy of it, I think it opened eyes a little bit.'
Social influence: | Organisation: Culture |
Technical influence: | System characteristics: Data |
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Social influence |
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Technical influence |
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© Clare Tagg 2000