Alex Gooding will be presenting examples of running our cloud-based Monte Carlo forecasting engine on clients' actual projects. He will be showing how using nothing more than the ‘free’ data that a team generates updating the board, can get more accurate predictions of the range of end dates for a project.
The promise of more accurate forecasting, using probabilistic techniques has been advocated strongly by experts like Tory Magennis for a few years now, and it’s good to have evidence of how it works with typically untidy real project data.
Alex is presenting as part of Troy Magennis’ two day-long workshops on Forecasting using data in London on 5th and 6th April
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