dhar amitava cc chaney craig mumford mike kirkpatrick eric brent richard parsons ben albanis george subject b contact names iris amitava may already said many e mails telephone calls flying back forth wanted make sure least got much clearly would like set meeting riskcalc gurus dig deeper methodology much tell impact missing variables idiosyncracies model may also try get better feel well think model extends countries know previous conversation lea carty reading model calibrated north american names suspect might extend countries conversely know working efforts within moody risk management services develop private probably public firm models specific regions one mentioned australia also within western europe data always issue see quants perspective success plan area lastly truly appreciate aggressive efforts made toward pushing private model initiative confident able nail firm plan upon receipt either b experian data cheers scott forwarded scott salmon eu enron 19 04 2001 20 51 mike mumford ect 19 04 2001 17 55 scott salmon eu enron enron cc subject b contact names forwarded mike mumford lon ect 19 04 2001 17 59 iris mack enron enronxgate 19 04 2001 09 23 cdt mike mumford lon ect ect cc amitava dhar corp enron enron subject b contact names hi two riskcalc sales people made presentation week product stated could set meeting quants people discuss model input happens less 17 inputs regards iris original message mumford mike sent thursday april 19 2001 1 37 mack iris subject b contact names ooops part ii threw 12 number something might develop really based anything know 17 work pre packaged programs also know great number names less full 17 assume would pursue another model internal external provide probably less accurate numbers least available names fewer inputs mike iris mack enron enronxgate 18 04 2001 15 02 cdt mike mumford lon ect ect cc amitava dhar corp enron enron scott salmon eu enron enron eric kirkpatrick eu enron enron subject salmon scott kirkpatrick eric subject b contact names iris thanks meeting stuck around discuss things little specifically respect global counterparty names duns cross references 70 active names 13 k 18 5 k could greatly accellerate purchase useful data buying blind major data associated specific duns numbers pro data gets names know want review asap without resolution specific fields useful also get test completeness data many 17 fields many 12 fields etc con costs could significantly higher buying info know need converse buying 17 fields seem best answer would end buying additional info later overhead costs piecemeal buying increase costs development time would greatly increased multiple file formats developing unknown maximum size etc redoing data purchased thoughts mike