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How do you prioritize data and also share effectively for learning across the business?

Axel Kirstetter
Guidewire Software VP Product Marketing | Formerly EIS Group, Datasite, Software AG, MicrostrategyJune 12

My experience with the quantitative side is that its difficult to share with others. You can, of course, make it available, and you should. But unless others replicate the research exactly the way you did it, which feels redundant, its likely their data models are different. I was part of an M&A integration effort. The acquired company similarly canvassed the market but had totally different assumptions. Growth in 12 months (their model) vs 18 months (our model) made for widely different outcomes and it was quite challenging to unify the forecasting aspects of both

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