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PO10.14 - Project Closure

This topic is intended to enable collaboration and sharing of information to facilitate a better understanding and approach to implementing this COBIT control objective based on the risk, value and guidance provided by its corresponding control practices.

COBIT Control Objective PO10.14 - Project Closure is contained within Process Popup Manage Projects.

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Project Closure

Require that, at the end of each project, the project stakeholders ascertain whether the project delivered the planned results and benefits. Identify and communicate any outstanding activities required to achieve the planned results of the project and the benefits of the programme, and identify and document lessons learned for use on future projects and programmes.

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Value Drivers

  • Increased likelihood that the project will realise expected and agreed-upon business benefits
  • Improvements identified in project management and system development for future projects
  • Increased focus on executing remaining actions for delivery of promised benefits
  Risk Drivers
  • Undetected project management weaknesses
  • Missed opportunities from lessons learned

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  1. Define and apply key steps for project closure, including post-implementation reviews that assess whether a project attained desired results and benefits.
  2. Plan and execute post-implementation reviews to determine if projects delivered expected benefits and to improve the project management and system development process methodology.
  3. Identify, assign, communicate and track any uncompleted activities required to achieve planned programme project results and benefits.
  4. Collect from the project participants and reviewers the lessons learned and key activities that led to delivered benefits. Analyse the data and make recommendations for improving the project management method for future projects.

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Volume 3, 2107
by Jayakumar Sundaram, CISA, ISO 27001 LA
The SoA is a continuously updated and controlled document that provides an overview of information security implementation.
Volume 6, 2106
by Venkatasubramanian Ramakrishnan, CISM, CRISC, CHFI
Bayesian networks can capture the complex interdependencies among risk factors and can effectively combine data with expert judgment.
Volume 1, 2018
by Aditya K. Sood, Ph.D., and Rehan Jalil
With the robust requirements listed by upcoming regulations, such as GDPR, the importance of a cloud app security solution cannot be ignored.
Volume 1, 2018
by Sandy Fadale, CRISC, CISM, CGEIT
Get to know your network.
Volume 6, 2017
by Robert Putrus, CISM, CFE, CMC, PE, PMP
This article presents a risk-based management approach to third-party data security risk and compliance through the development of a third-party risk register.
Volume 6, 2017
by Guy Pearce
The modern GRC landscape has a significant impact on how an enterprise-scale big data project would be undertaken today.

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