This paper presents a structured approach and framework for application portfolio rationalization. The purpose of effective application portfolio management (APM) is to make key decisions about enterprise applications – this framework assists in making these decisions in a structured, consistent and transparent manner. Very good read!
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This paper describes a framework for project portfolio management maturity (PPM) or classification – companies/organizations can fall into one of the four categories and consequently have a different PPM strategy to improve their capability.
The authors contend that a lot of IT projects are disasters waiting to happen! And the really bad news? They will likely take the company and your career down with them!
Different skills are required to govern a project through its lifecycle with the three most critical being: cost engineering (CE), quantity surveying (QS), and project management (PM). This paper explores the connection, intersection, and divergence between the three.
This report provides an overview of IT Governance, including principles and guidelines, discusses governance structures and committees, and highlights IT governance trends at institutes of higher education.
This presentation discusses practical tactics to increase the efficiency and effectiveness of your IT investments by moving up the PPM capability maturity model.
This guide to the Portfolio, Program and Project Management Maturity Model (P3M3) describes the framework which can be used to assess current performance and formulate a plan to improve and measure performance.
This paper provides a definition of information technology governance based upon research into various IT Governance definitions provided by different "gurus" and "sources."
This research paper proposes a framework for better information technology (IT) portfolio management decisions – the framework introduces an IT Portfolio Management Maturity Index to assess the level of maturity of an IT organization and a model to examine portfolio and investment decision rationality. The proposed framework can be used as a benchmark for managers to understand how to allocate IT resources most effectively.
