Data quality and model integrity matter more than raw computing power or dataset size. Without trustworthy inputs and credible models, analytics can't create real business value. The speaker shows how this framework affects company valuations during founder exits and recapitalizations.
I love that framework. And so oftentimes we see, you know, really analytical models that can be very powerful, but if you don't trust that data coming in, that data integrity, or you don't trust the model itself or the ease of use or the assumptions that are being used, and if it's not based in any sort of reality, it's not really that valuable, no matter how much horsepower you have behind the model. Yeah. the computational strength or even the size of the dataset. So that's such a great framework that you have there. Thank you. So one of the places where both you and I spend a fair amount of time is working with companies in a specific context, and that context is preparing for maybe a founder exit or some recapitalization where really the enterprise value
How Can You Maximize Your Business Value Before Selling? with Randy Katz Video
