Enabling access to data and insights for the
benefit of society

What We Do

We have developed this website with the objective of providing insights into publically available data that may not otherwise be available. Data often exists in silos and governments often lack the expertise, tools, agility and capacity to analyse this data in a way that promotes transparency and accountability.

Our first step along this journey is to analyse the publically available data from the UK’s government Major Project Portfolio which in 2017 represented an investment of ~£450bn and make this analysis available to all, free of charge. By showcasing what the private sector and determined individuals are able to do with this data we hope to underline the benefit of an open data agenda. As more data becomes available we will expand the scope of our work for the benefit of all.

We have pulled together a team of data scientists, data analysts and P3M experts to collate and derive insights from the data, ensuring accuracy and efficiency. Our approach is scalable, using automation wherever possible
Our quest is to derive value from data in the public domain, where insights would otherwise be difficult to identify. Our intent is not to embarrass or be vindictive , but to ensure that we facilitate improvement which may otherwise be prioritised out.
This analysis is funded by those who give their time to drive down the cost of project delivery, particularly within the public sector. We are not associated with any other corporate or government body.

GMPP Data Analysis

The data underpinning these charts has been collated from publicly available material. Although we work hard to ensure accuracy, there may be instances during data cleansing where errors creep in.

We are aware that the number of projects doesn't align with that published in the IPA's annual report and this is generally because of exempt or missing data. Furthermore, some of the data in 2012 and 2013 contains errors, i.e. for some projects the schedule data records the project out of service data rather than in service date and when this was corrected in subsequent data entries our analysis illustrates a significant negative schedule variance, which could be misleading.  

If you find any errors in our analysis then please let us know and we will endeavour to correct it as soon as possible.

Would you like to help?

We would like to continue to develop this analysis over the coming months and years. We are reaching out to like minded people who have a passion for data, who want to make a difference, facilitate change and help to drive up the efficiency of the public sector, with spin off benefits for society at large. Whether you are an undergraduate with a passion for data, a seasoned data ninja wishing to build out your portfolio or someone with spare capacity to help make a difference, please get in touch. Together, we can change the world, a little at a time.

A brief summary

The following 5 minute video provides a walk through of the data within the Power BI WebApp and a brief summary of the analysis. The 2nd video in the next section provides a ‘how to’ guide on interacting with the data and tips/tricks.

How To Use the Power BI WebApp

The following 5 minute video provides a ‘how to’ guide on interacting with the data and tips/tricks.

Please get in touch to discuss...

....We'd welcome the opportunity to demonstrate what we can do and help you to deliver results.