De la Maza helped a startup IPO by applying Monte Carlo to a planning problem. Learn how Monte Carlo planning provides a rigorous, quantitative account of what the future may bring. It has advantages over standard average case approaches and you can start with a simple Excel spreadsheet.
The book Diving For Hidden Treasures - Uncovering the Cost of Delay in Your Project Portfolio by Johanna Rothman and Jutta Eckstein explores how projects become delayed and provides tools and methods to analyze and limit the costs of delay in projects.
In the book NoEstimates: How to Measure Project Progress Without Estimating Vasco Duarte explores how NoEstimates can help to manage projects with a focus on value and predictability, report progress quickly and often, and adapt plans constantly based on existing data.
In this article, author Carlos Bueno discusses the strategies for estimating the server capacity for big data projects and initiatives, with the help of two case studies.
If you don't want to analyze all user stories in your project in order to estimate size then Randomized Branch Sampling can be used for portfolio related decisions and quotations on prospect projects.
Product risk analysis (PRA) can be done during the various phases of sequential or agile system development. This article shows how to apply PRA to elevate it from project level to domain level.
There are ways to obtain sustainable pace beyond scrum that can help stem the increasing number of failing scrum projects, with a backlog-item-oriented workflow treating sprints as iterations.
IT is increasingly concerned with issues like server power consumption. This Intel article addresses the sources of consumption, estimation, and design considerations that can reduce demands. 2