Main

Purpose

Simpler deployment of project portfolios.

Open-source the nuts and bolts of project management.
So save time for leads to focus on contextual, cultural and people aspects of the business.

This site is a general guide to a more detailed code and documentation library. Start with the guides unless you know exactly what you want.

For applying machine-learning approaches to projects, the guide is here, the library is here
For choosing and developing your own portfolio framework, the guide is here, the library is here. A framework sets out how the portfolio’s projects will be set up and delivered. It is a delivery framework.
For constructing a data model for your projects, the guide is here, and the libraries are here:

machine-learning approaches to projects Machine-learning has become usable for everyday business in the last couple of years. Whilst all companies are progressing their digital transformation plans, there is merit in using small machine-learning tools on -in-year, current project problems to improve project understanding, project prediction and project content management. This needs to be done by project and portfolio managers who understand their business area, and it allows both in-year improvements, as well as allowing portfolio managers to understand and shape the broader digital transformation within their companies, so that the right machine learning use cases are considered and specified during the procurement of major AI and cloud procurement

choosing and developing your own portfolio framework is a delivery framework showing what project activities and workflows need to be done for each project, each programme, and for managing the whole portfolio. The framework includes only necessary management tasks applicable to a particular business, and so the framework consists of a number of operating modules, selected from a broader set of modules. This framework generates a project lifecycle as well as lean work-plan of governance, reporting, controls and support activities at each level.

data model for your projects shows how each project and programme type is described and fits together as a portfolio. This not about management work-flows, but about the content of the portfolio and projects. It relates to how all the business stakeholders understand your projects-relating together outcomes, objectives, benefits, scope, KPIs etc. These repositories use freely available graph-database technology to manage project data in a way that emphasises the particular structure of your industry, and that emphasises the relationship and dependencies between projects.