Peter is a project manager, who has delivered many software projects in Airlines ticketing and reservations successfully, on-time and within budget. He just signed up to deliver an analytics platform for revenue enhancement, which involved storing and analyzing humongous historic data, towards proposing optimal pricing plans for the airlines. His team consisted of a researcher in data mining and a couple of high performing software engineers. The team engaged with full enthusiasm and zeal, only to run into tremendous resource requirement at deployment, which was completely unacceptable to the customer. In addition the pricing plans were too complex for the airlines to roll out to the end users. The whole team had to go back to redoing the underlying architecture and nearly rebuild the whole platform. This meant doubling the original estimate and twice the duration. What do you think went wrong?