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Hackathon

23-24 February: London Project Data Analytics Hackathon

Overview: Welcome to the 2nd Project:Hack. We have capacity for ~100 people to work on some cutting edge project related data challenges; together we can help to change an industry….. Whether you are a project professional, data analyst/scientist, developer or just want to find out more, please click this link and book your place. 

PLEASE only book if you intend to be there. We have worked hard to secure sponsorship and make the event a success. No-shows can significantly impact the success of the event.

The Proposition Only around 50% of projects are completed on time and slightly more are delivered within the original budget. This situation has hardly changed over the last 8 years.

It is a challenge which is ideally suited to advanced data analytics methods and we would be delighted if you could join us to help shape a new future. A future that has the potential to save society hundreds of £billions and transform how projects are managed. Although data analytics are gaining traction across the board, the project management profession is a relatively late adopter and you have an opportunity to change it.

If you are free on 23-24 February 2019 and have a passion for solving crunchy problems then please join us for a hackathon that will ignite the professional imagination, inspire and demonstrate what can be achieved through the use of advanced data analytics.

The Event:

When:             09:00-16:00 on 23-24 February with the opportunity to continue in the bar afterwards on the 23rd.

Where:            Microsoft Reactor, London. Breakfast and lunch will be provided

How many:      Capacity for 100 people

Teams:            Teams of around 6 people will form before and during the event.

Skills:               We’ll need a mix of business analysis, professional project delivery experience and data science/analytics skills (from python, PowerBI/visualisation, graph databases through to machine learning)

Special Thanks to our Sponsors

Projecting Success

Sir Robert McAlpine

PMO Learning

Welcome to the Project Data Analytics Hackathon  – Project:Hack

Would you like to help to shape how projects are delivered in the future?  You’ll have an opportunity to work with others who share this vision and passion. You’ll also get the opportunity to influence some major players such as Highways England, Sir Robert McAlpine and the team from the UK’s largest road construction project.  

In a recent Gartner webinar they commented that up to 80% of current project management work will be eliminated by AI and smart machines in the future. Its an inescapable future.

Data science will transform how projects are delivered, saving billions for society, improving certainty in outcomes and changing the face of the project management profession forever. Project:Hack aims to:

  • Explore methods and tools to transform how insights and value can be extracted from project data. Ranging from risk and schedule data through to on site presence of personnel.
  • Enable delivery professionals to understand the predisposition of projects to specific challenges, to predict them arising and take action to avoid the avoidable.
  • Ignite the professional imagination on what can be achieved and shape the future of project delivery.

Themes & Challenges?
Sir Robert McAlpine Challenges

CHALLENGE 1

Personal Risk Profiling

Problem Statement: 82,000 workers in construction suffer from work-related ill health

Solution: create an app to predict the biggest risk an individual will be exposed to based on their situation & demographics (age, role, project type, etc.), in order to present them with that risk.

CHALLENGE 2

Residential Quality Management Dashboard

Problem Statement: Managing ‘snagging’ tasks is critical to ensuring we finish projects and deliver the quality product our clients require

Solution: Take the existing Power BI Quality Dashboard and tell us what else we can understand from this dataset. What happens if we combine ‘snagging’ insights with data for people on site?

CHALLENGE 3

Delivery Logistics

Problem Statement: For any project, it is difficult to manage deliveries resulting in traffic, waiting times and delivery inefficiencies

Solution: Take the TFL logistics planning tool and use SRM data to create an interactive equivalent (better!) tool to predict delivery requirements

CHALLENGE 4

Skills & Abilities Dashboard

Problem Statement: Understanding competence is a key challenge for us. How can we use the data we collect about training & inductions?

Solution: Design a tool to predicts the quality we’re going to see based on the skills and competence we see on our sites

CHALLENGE 5

Measuring Fatigue in the Workforce

Solution: A dashboard for time spent on site that recognises long work & travel to site patterns to inform workforce wellbeing

CHALLENGE 6

Vertical Logistics

Problem Statement: We don’t understand the most efficient way to move people and materials to the right floors.

Challenge: Create a tool that combines hoist data with people and materials movements to model the most efficient logistics plans.

A14 Integrated Delivery Team Challenges

CHALLENGE 7

Monte Carlo Analysis

Problem Statement: How much risk money does the project need to hold in order to meet our exposures?

Solution: Using Monte Carlo Analysis, produce an output with a range of percentage confidence. Management can then decide a percentage confidence for the results.

Solution: A dashboard for time spent on site that recognises long work & travel to site patterns to inform workforce wellbeing

CHALLENGE 8

User Text Analysis

Problem Statement: Users enter data into our Observation app, this system captures positive or negative events. What indicators can we get from this?

Solution: Identify any patterns using free text analysis in data E.g. seasonal, day of the week, time of day.

Relate these events to incidents; on site Observations are a good leading indicator of Health and Safety Performance.

CHALLENGE 9

Programme Trend Analysis

Problem Statement: Our schedule (P6) contains monthly snapshots of the project programmes since Dec-16. How can we use this to assess if we are on programme in the future?

Solution: Based on past performance, calculate the confidence in achieving our future programme

Identify patterns in activity types which are completed on time vs those which are delayed?

CHALLENGE 10

Staff Movement & Fatigue

Problem Statement: The project is spread over 40km. Fatigue is often a root cause of accidents onsite.

Solution: Use clocking in-out data to assess how much non-value added time is spent travelling between offices. Identify behaviour patterns which could indicate fatigue.

CHALLENGE 11

Live Vehicle Map

Problem Statement: Vehicles are wasting time spent stationary when travelling between depot and end point.

Solution: Put live dumper movements, plus various other location specific data on a live map. Navigable on a desktop, or single size appropriate for signage.

Project Success Challenges

CHALLENGE 12

P3M3 Maturity assessments

Problem Statement: Maturity assessments of an organisation’s P3M capability tends to be expensive and time consuming.

Solution: Provide a conceptual solution to show how data analytics and AI can provide insights into P3M3 maturity assessments. Build on the P3M3 maturity assessments or Praxis framework analysis.

CHALLENGE 13

Crossrail Assurance Data

Problem Statement: Crossrail have begun to release assurance and forensic reports from independent advisors such as KPMG and Jacobs, but it is difficult to predict project delays.

Solution: Collate reports to provide a predictive capability. Track and extract insights from these reports to inform future projects and understand the potential for further delay.

CHALLENGE 14

IT & ICT Government Data

Problem Statement: It is possible to predict the likelihood that a project would slip with respect to either time or cost. Are there any insights about the predisposition of certain types of projects to delay?

Solution: Identify insightful trends regarding either time or cost slippage from 14 months of dashboard data. Present these in the form of a report.

Let’s get started!
We’ll start the day by introducing the challenges and the data sets. You’ll then have the opportunity to pitch your idea to the crowd to invite team members, or join a team whose idea you want to work on. You’ll then spend two days developing the concepts, interrogating the data, building proof of concepts and delivering a solid pitch to support it. Finally, you’ll get the opportunity to present to industry experts who will judge your proposal. Not only will you have the kudos associated with shaping the future of project management, but we also some amazing prizes to award.

Plus 6 Google Home minis…

Happy to support you!
There will be on-ground support. Data scientists, PowerBI experts and subject matter experts will help you with technical queries and mentors will guide you towards the perfect pitch.

It promises to be a great couple of days will be had with food, drinks, ideas and bucket loads of fun. The only requirement is to come with a lot of bright ideas and enthusiasm!

Space is limited, so please fill out this quick profile and we will get back to you as soon as we have reviewed the attendee submissions.

FAQs

What do I need to bring to the event?

Your laptop, access to any software that you are likely to need and bucket loads of enthusiasm.

How will my ideas be managed?

Your ideas belong to you. Its your intellectual property.

How will my personal data be used?

Purely for the administration of this event, future events and any agreed follow up actions. It will not be used for any other purposes.