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    RSVP Here - The Project Data Analytics Task Force Meetup | Meetup Following the launch of the Project Data Analytics Task Force last September, we have seen excellent engagement from project and data professionals from various sectors looking to get involved. The workstreams have been working tirelessly to explore and develop opportunities to accelerate the vision and be an engine for change. Join us on the 23rd November to get a glimpse of how the teams have been delivering this change, with an update of their progress, what they are currently working on and what they have in development for 2022. This will cover Solutions Development, Data Access, Data Quality, Research, Skills and Engagement. Hear from the WorkStream Leads which include: Engagement: Prof Tim Broyd, Director, UCL (Co-Chair), Andy Murray, Exec Director, MPA Solutions Development: Alex Robertson, Digital Deployment Lead-Projects, Petrofac Data Access: Grant Findlay, Director of Strategy & Innovation, Sir Robert McAlpine, Gareth Parkes, Head of Data, Sir Robert McAlpine Data Quality: Martin Paver, CEO, Projecting Success (Co-Chair) Skills: Sue Simmonite, Global Project Management & Control Director, BAE Systems Oliver Cowey, Corporate Project Controls Manager, BAE Systems Research: Jo Jolly, Deputy Director, Environment Agency Ronald Dyer, Programme Director of TUoS EMBA, University of Sheffield Breda Ryan, Director of Programme Controls Function Major Projects, Jacobs The Challenge Project management creates between £150-170bn of economic value annually in the UK. Yet, the effectiveness and efficiency of productivity remains stubbornly low. PMI’s Pulse of the Profession studies frequently demonstrate the high cost of low performance, as projects fail to meet original goals or business intent, finish late and over budget, experience scope creep or are deemed to be outright failures. The analysis by the University of Oxford’s Prof. Bent Flyvbjerg and Dr. Alex Budzier on ~12,000 global major projects concluded that the probability of a project being delivered on budget, on time and delivering the benefits defined in the business case is only 0.5% According to recent RICS reports, 95% of project data is used once only, and never used again. And yet, by leveraging the rich seam of project delivery data that exists across the profession, we have an opportunity to make a step-change in project management - delivering more projects for less, with a significantly increased return on investment and a high degree of confidence. The Project Data Analytics Task Force exists to facilitate a Project Delivery Transformation. However, the vision will only become a reality if we work collegiately. It is an opportunity for everyone, at every level to play their part
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    Dev is the Co-Founder and CEO of nPlan, a machine learning company that learns how completed construction projects are performed to forecast the outcomes of future projects. Changing the economics of construction using examples and case studies of projects that have embraced data-derived forecasting. During the talk, Dev will share and explore examples of how and where nPlan has been used to change the economics of the construction industry, for projects, contractors and clients. We'll dive into how data and insights are used to change the dynamics at play during the bidding process, for the benefit of both client and contractor, which ultimately means significant improvements on the economics (or margins) achieved. This is a chance to hear about how transformative data can truly be; it's no longer the side act. BIO: Dev is the CEO and co-founder of nPlan and his experience is in delivering construction projects with Shell, spanning 3 continents over 9 years. Following this, Dev worked within the UK Government to launch and deliver the national review on AI, which was published as part of the Industrial Strategy in 2017. Since his review concluded, more than £1.5B has been allocated by the Government into the progression of AI. Dev has a strong passion to change the way projects are delivered through empowered decisions, enabled by data.
  5. Hi Everyone, A huge thanks to everyone who supported and participated in Project:Hack11! I have attached the consolidated feedback and scores from all of our judges. We hope that you find the feedback helpful in preparing for Project:Hack12 on December 4th! Hope to see you there! What do you think? What would you do to improve? Hack11 Feedback and Scoring.xlsx
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    Welcome to Project:Hack 12 - TBC Online or In-person EARLY BIRD TICKETS ON SALE HERE - Project:Hack 12 Tickets, Sat 4 Dec 2021 at 09:00 | Eventbrite Project:Hack12 will bring together business analysts, project delivery experts and data scientists to push boundaries and develop innovative solutions to enhance project delivery outcomes. Win prizes worth thousands of pounds, Project:Hack11 had £5000! Opportunities to network and impress organisations such as NHS, TFL, MPA, Sir Robert McAlpine and a whole host of others across various sectors An opportunity to earn a paid summer internship with Projecting Success, work on real project challenges and learn to leverage data effectively A whole host of new challenges to tackle and impress thought leaders in project delivery who will be judging your solutions For more specific information, visit our hack page https://www.projectdataanalytics.co.uk/projecthack/ Project:Hack Aims: 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. Project:Hack12 Challenges TBC See previous Project:Hack11 Challenge solutions here - For the latest news follow us on Twitter, LinkedIn & Facebook using #projecthack. Let’s get started! We'll start the event 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. The remainder of the weekend will be spent 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. Happy to support you! There will be online support. Data scientists, PowerBI experts and subject matter experts will help you with technical queries and mentors will guide you towards the perfect pitch. Computer science students are also welcome.It promises to be a great couple of days with food, drinks, ideas and bucket loads of fun. The only requirement is to come with a lot of bright ideas and enthusiasm! Fees We had over 200 register to the last event. In order to ensure that people only book who intend to come to the event, we will be charging a fee. All ticket proceeds, less VAT and platform fees, will be donated to Cancer Research. Please note that platform fees are non-refundable (Eventbrite policy). Sponsors We are seeking sponsors for this event. Please get in touch if you are interested in supporting it. 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. Am I guaranteed a place? We'll do our best to accommodate everyone. How will my ideas be managed? Your ideas belong to you. Its your intellectual property. But we encourage all attendees to share their code for the benefit of the community wherever possible. We will load all solutions onto the community portal unless you advise us otherwise. 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. What is the photo policy? A key part of the hack is to build momentum across the community and inspire people. We would like to screen shots and videos of Zoom for social media and videos. But if you would prefer not to be involved then please email Amenaz@projectingsuccess.co.uk
  8. Hi There, Someone interested in this topic? Pls give me a shout I'll be attending in person, however I'll assist after lunch day 1.
  9. This solution is a reporting tool designed to keep management informed about their teams mental health and mood, through an easy to use app as well as Power BI report. Through the use of a Power App, employees provide monthly updates on their mental health and mood, which is then fed into a Power BI report, where the data is analysed and produces insightful radar charts for management to easily read and digest.

    Mental Health App.zip

    Free
  10. Health & safety metrics are necessary to identify risk factors that may result in injury or worse in a workplace. They are useful for understanding what corrective action could be done to minimizing the potential for accidents to occur. This Power BI dashboard provides a good overview of a company’s health and safety via various metrics, allowing the H&S manager to quickly assess and update the company's injury prevention measures, and provide a full picture for the H&S regulator. The metrics include leading indicators, hazards, action tracking, lagging indicators, events analysis (root causes), injury analysis (area, severity).

    H&S Metric Dashboard.zip

    Free
  11. This is a PowerApps solution for dealing with company timesheets. It allows employees to submit timesheets, and once their managers have approved (also done via the app), the timesheets are combined and invoiced, creating a new invoice for each employee and project, and exporting the invoices as a word document. This is an all-in-one solution for a company to manage its timesheets.

     

     

    Timesheet App.zip

    Free
  12. This solution is an application that allows us to easily and efficiently capture health and safety data on hazards and incidents that occur on a project. It is a user-friendly app that allows personnel to easily record this information, therefore encouraging use and adoption. This is a Power Apps solution with data recorded to a central repository. Data schemas have been provided for the incidents and observations, and the data recorded should be consistent with this schema. The app also allows the user to take and store a photo of the hazard.

    Hazard Reporting Tool.zip

    Free
  13.  

    The regulatory compliance refers to the information that must, by law, be reported and recorded in the event of a work-related accident or incident. This Power BI solution displays the info needed for RIDDOR compliance, as well as some basic metrics.

    H&S Regulatory Compliance.zip

    Free
  14. This Power BI solution provides a detailed investigation into the design performance across a portfolio of construction projects. It has a set of design performance metrics that are aligned with other project performance data/ indicators. This is a Business Intelligence solution, which provides two types of views. Firstly, a holistic view of design performance which gives a senior executive user an overall view of design performance across the portfolio of projects. The second is a view targeted towards a Project Manager, helping them to understand in further detail the design performance on specific projects and allowing them to implement mitigating actions. 

    Free
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    The PROJECT:HACK11 Awards Evening will be streamed at the beginning of this event. Awards Evening - 18:00 - 18:30 Data Driven Delivery in Government - Where next? - 18:45 - 8:00 Government departments are beginning to understand the huge potential of data analytics within project delivery. From releasing capacity to enable people to perform higher value added roles through to predicting variance. But what does this mean for the government and its supply chain? Within this panel session, we will invite members of the cross-government group for project data analytics to discuss their vision for data driven project delivery, some of the obstacles and how they envisage it evolving. We'll also try and dig a little deeper to differentiate hype from reality. We'll also explore what this means for project professionals within government and also for everyone engaged in project delivery roles across the supply chain. You'll get an opportunity to ask questions and explore how to position yourself for what will be an inevitable future. Speakers: Eleanor Williams is the Lead for Learning from Experience and Communications in the Ministry of Defence, supporting the Project Delivery Function. Prior to this, she worked within the International Staff at NATO HQ implementing an enterprise approach to information sharing and creating a CIO function bringing IT coherence to NATOs 41 civil and military bodies and 25,000+ users. Catherine Poyner is the Head of the Defence Project Delivery Function for Defence. Her role is to improve the way Defence delivers its projects and support and develop our project professionals. Catherine joined from the Cabinet Office where she was the Head of Transformation for Government Security Group, the unit responsible for setting policy and standards for protective security. She led the most significant transformation programme in government security for 30 years, improving the quality of physical, personnel and cyber security. Previously, she led the Government's back office shared services transformation programme, instigated by Francis Maude. Catherine began her career working for UNESCO in Santiago, Chile, supporting the education sector across South America. She moved back to the UK to work for local government in policy and programme roles across IT, health and social care. Alan Perkins is the Head of the Complex Infrastructure Programme which comprises the A14 Cambridge to Huntingdon Improvement Scheme, the Lower Thames Crossing, A428 Black Cat to Caxton Gibbet and the A303 Stonehenge projects.During his tenure the A14, Highways England’s largest roads construction project, has successfully been completed eight months early and on budget. Alan Perkins started his career as a telecommunications apprentice and studied computer engineering at the Open University and spent some time leading expeditions working for UNICEF in Sri Lanka building wells and installing latrines in remote villages Jo Jolly is a Deputy Director in the Environment Agency and leads their newly formed Bespoke & Emerging Projects team. She understands the vast potential of project data analytics and the need to move beyond incremental improvements in project delivery. Jo believes we all need to take urgent action to tackle the nature and climate emergencies through collaboration and trust to promote the sharing of data on a scale we’ve never seen before. Jo is working hard to drive out waste in delivery and massively improve productivity hopes that by using the power of data a
  16. Hi fellow hackers, Challenge 1 is looking interesting to me - Project Plan Evolution Dashboard, is anyone looking to put a team together?
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    After a very successful 2 prior events, we bring to you the 3rd and final 2021 Project Data Analytics Starter Kit with James Smith, PhD on November 9th. He will be walking you through all the components of project data analytics, through the lens of a project delivery professional. Many existing roles will look radically different in a few years time; for some it will be a matter of adapt or become obsolete. Project Data Analytics can be used to support project delivery through: • Anticipate variance and future cast • To scenario plan the future and optimise its navigation • Manipulating probabilities and accepting that the future is not predetermined • Sense team and supplier performance; forensically examining individual performance, cohesion, collaboration and its impact on project goals. • Interrogate the connectivity between disparate elements of a project and extract insights. • Automate repetitive and burdensome roles, releasing capacity for higher value activity. • Interrogate and visualise data and discover new insights. • Build and communicate data-driven business cases across various stakeholders. Start your Journey in Project Data Analytics with this talk. We will cover everything that we'll need in our armoury to adapt over the coming years. From Power BI to automation, data pipelines to Python. We will explain why we'll need it, what we can do with it and how to go about it all in a practical manner. What do you think?! These capabilities are becoming mainstream and a key part of our future project delivery roles. Don’t get left behind, get on board now!
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    Welcome to Project:Hack 11 - our first in person hack since pre-covid! PLEASE NOTE: PROJECT:HACK11 IS NOW SOLD OUT Project:Hack11 will bring together business analysts, project delivery experts and data scientists to push boundaries and develop innovative solutions to enhance project delivery outcomes. Win prizes worth thousands of pounds, Project:Hack10 had £5000! Opportunities to network and impress organisations such as NHS, Mace, MPA, Sir Robert McAlpine and a whole host of others across various sectors An opportunity to earn a paid summer internship with Projecting Success, work on real project challenges and learn to leverage data effectively A whole host of new challenges to tackle and impress thought leaders in project delivery who will be judging your solutions For more specific information, visit our hack page https://www.projectdataanalytics.co.uk/projecthack/ Venue and Catering: The Hallam Conference Centre, Cavendish Venues, 44 Hallam St, London W1W 6JJ Nearest tube stations - Regents Park, Goodge Street, Warren Street and Oxford Circus. Delicious breakfast and lunch on both days brought to you by a company favourite - MercieMarie. Free bar in the evening of the 7th of October from 17:30 - 20:30. The event will finish at 5 pm on Friday 8th October so book your trains for after 5 pm. Project:Hack Aims: 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. Project:Hack11 Challenges Challenge 1 - Project Plan Evolution Dashboard Challenge 2 - Customer Experience Tool Challenge 3 - Understanding and Collecting Asset Resilience Data Challenge 4 - Material Inflation and Availability Monitoring Tool Challenge 5 - Identifying & Cataloguing Bottlenecks & Constraints Challenge 6 - Incorporating Sustainable Development Goals in Projects Plans Challenge 7 - Material Verification Challenge 8 - Predicting low carbon technology purchases to reinforce the UKs electricity network Challenge 9 - Automated PDF linking system Challenge 10 - Resource Exchange Mechanism (REM) Challenge 11 - Material Inflation and Availability Searching and ScrapingMaterial Inflation and Availability Searching and Scraping Challenge 12 - Building Lifecycle Costing Tool Challenge 13 - Risk Mitigation Recommendations Challenge 14 - Identifying Project Professionals See our previous Project:Hack10 Challenges here - https://bit.ly/2WZRusf For the latest news follow us on Twitter, LinkedIn & Facebook using #projecthack. Let’s get started! We'll start the event 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. The remainder of the weekend will be spent 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. Happy to support you! There will be online support. Data scientists, PowerBI experts and subject matter experts will help you with technical queries and mentors will guide you towards the perfect pitch. Computer science students are also welcome.It promises to be a great couple of days with food, drinks, ideas and bucket loads of fun. The only requirement is to come with a lot of bright ideas and enthusiasm! Fees We had over 100 register to the last event. In order to ensure that people only book who intend to come to the event, we will be charging a fee. All ticket proceeds, less VAT and platform fees, will be donated to Cancer Research. Please note that platform fees are non-refundable (Eventbrite policy). Sponsors We are seeking sponsors for this event. Please get in touch if you are interested in supporting it. 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. Am I guaranteed a place? We'll do our best to accommodate everyone. How will my ideas be managed? Your ideas belong to you. Its your intellectual property. But we encourage all attendees to share their code for the benefit of the community wherever possible. We will load all solutions onto the community portal unless you advise us otherwise. 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. What is the photo policy? A key part of the hack is to build momentum across the community and inspire people. We would like to screen shots and videos of for social media and videos. But if you would prefer not to be involved then please let us know. What is the covid policy? Please note you have to be fully vaccinated to attend the event, hand santising and thourough cleaning will take place at all times While wearing a face covering is a personal choice and judgement, we’d encourage our attendees to wear one when arriving if you can. While social distancing is not a legal requirement, we encourage our guests to limit close contact and keep distance from others where possible Dress code Smart Casual
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    RSVP HERE - https://bit.ly/3ma2pKf Project data is different from ordinary data; there is more qualitative data and fewer quantitative measures. Timelines are really important and there are many more dates; e.g. project and task start, and completion, milestone dates. This creates challenges in analysing the data. For example we often need to calculate what happens between two dates rather than on a date. What we measure is also different, capacity, availability and demand, as well as the traditional measures of revenue and cost. Creating appealing visualisations is also a challenge, especially with the standard set of visuals that Power BI provides. We’ll look at how to meet these challenges in this talk. We’ll show examples in Power BI, Excel and R, but the principles are applicable to any analytics tool. Mark Wilcock is an independent data scientist and trainer and a Microsoft MVP.
  20. Register here: Why we Need to Rethink Complex Mega Projects | Meetup We routinely label expensive projects as complex projects but does this generalisation lead us to mismanage how they are delivered? On HS2, is the process of laying hundreds of mile of track complex? Should we be adapting our approach based upon the extent to which the project is subject to change, i.e. how emergent it is? But how do we know where we are? How can data help us along this journey and enable us to understand the current and emerging position? Data can probably help us with the elements of a project which are known and repetitive, but what about the parts of a projects that are in flux? Can we plan our way out of these? Can data help us by deploying probes to detect where we are and how the environment is evolving; can it help us with lead indicators? How should we be managing complexity and what role does data have to play? Dave Snowden is an internationally renowned guru on complexity and has kindly agreed to share his insights into a range of crunchy issues facing the project delivery profession. When he delivered his talk to our community in 2019 it was one of our most popular! It provided a perspective that many hadn’t considered before. We are delighted to welcome him back so we can dig a little deeper. Dave Snowden is CSO and Founder of Cognitive Edge and Director of the Cynefin Centre. He has pioneered a science based approach to organisations drawing on anthropology, neuroscience and complex adaptive systems theory. He is a popular and passionate keynote speaker on a range of subjects, and is well known for his pragmatic cynicism and iconoclastic style. He holds positions as extra-ordinary Professor at the Universities of Pretoria and Stellenbosch as well as visiting Professor at the University of Hull in The Centre for Systems Studies.
  21. Challenge Overview Can we use GPT-3 to break down projects into specific tasks that need completing? Can we use schedule data for training this model? Challenge Breakdown This challenge uses GPT-3 a heavily restricted natural language model. Consider the classic scenario of the task breakdown for creating a cup of tea. Your task will be to use GPT-3 to create a tool that can break down projects into the tasks needed to complete them. This will allow project managers to compare to current tasks breakdowns and inform on future ones. For those of you who faced a GPT-3 challenge before you will find yourself once again challenged and once again shocked by the possibilities of GPT-3.
  22. Challenge Overview Can we use an application to allow employees to log quickly and easily what work they have done on each project? Can I receive a live visualization on what work has been logged by my teams? Challenge Breakdown This challenge aims to tackle one of the biggest problems facing companies today. How to effectively monitor staff work. This will involve creating a simple and intuitive app to collect staff timesheets and present them live to management for them to have a clear picture of what work is being done on what project. You will need to carefully consider the User Interface and what should be done to make this process as streamline and fast as possible, even for those not used to recording timesheet and using applications.
  23. Challenge Overview Can we predict when a piece of equipment will have a fault by using historical maintenance data? Can we use our equipment failure data to streamline our maintenance and reduce cost? Challenge Breakdown This challenge is all about working with an unclean data set. You will have to sort through the data to find insight and potentially use language processing to find the root cause of equipment failure from maintenance logs. You will be provided with two data sets, one with long descriptions and one without. You can pick and choose what you use for insight with the goal of streamlining equipment maintenance and reducing how often equipment will need to be checked and potentially see if equipment failure can be pre-empted.
  24. Challenge Overview Can we use analytics to determine how best to approach winning public sector contract? Can we determine if our bids will be successful and if they are worth investing in? Challenge Breakdown This challenge is to see how we can use past sales data to inform actions – predictive and prescriptive analytics – for future sales actions. You will be using public sector contract data to see if it can be used to determine how to approach contract bids in the future. You will need to sort through the data and link it to other data sources as well as potentially using word analysis to see what common trends there are in the comments about project development.
  25. Challenge Overview Can we gain useful insight into when a project is likely to go over budget and when the work hours dedicated to a project are running beyond expectation? Can we visualise this information in order for it to be easily represented and shown to management and key decision makers in the company? And in a way that clearly identifies potentially best & worst practice by different contract delivery teams? Challenge Breakdown This challenge is about measuring project performance. You will be provided with data regarding projects timelines and budget and it will be up to you to compare teams and contracts in order to help mitigate the risk of struggling projects. You will need to prepare the data in a dashboard to highlight successful teams and offer advance warning on when a project may start going overbudget. There are a lot of possibilities in the data and it will be up to you to find what the most impactful trends are.
  26. Challenge Overview Can we create a python script to scrape target websites and trim articles to appropriate size? Can we use automation to send those trimmed articles out to key people in a weekly email? Challenge Breakdown This challenge is about web scraping and summarising. Your job is to create a tool that accesses certain company websites, takes recently posted articles, summarises them, then sends a weekly email to employees. This email will contain all that week’s summarised articles in an easily digestible form. This tool could be used in almost any industry and there are many opportunities to sharpen your coding and automation skills. We will also be providing access to GPT-3 the exciting natural language processing tool. In addition to creating the program to collect the articles you are also welcome to use GPT-3's inbuilt tools to explore an alternate way to summarise and format the data.
  27. Challenge Overview Can we use automation to scrape through and catalogue our PDF training certificates? Can we create a tool that can be used for different awarding bodies? Challenge Breakdown A challenge all about analysing and storing the data from PDF certificates. In this challenge you will need to develop a tool or set of tools to read in PDF's with different formatting from different awarding bodies. This means that company training can be automatically stored and processed. This tool will be a massive time saver for companies that do a lot of regular training sessions.
  28. Challenge Overview Can we analyse all our scope 3 emission data and use it to find the outliers to target for improvement? Can we create an app that allows us to view our scope 3 emissions live and that can show us our emissions based on certain filters? i.e. Location, region, source Challenge Breakdown This challenge is all about reporting Scope 3 emissions. There is a lot to consider when it comes to what a company is indirectly responsible for when it comes to emissions and this challenge will be about sorting through that data and trying to find where they can be reduced. You will also be producing a system to calculate employee commuting emissions based on their address (data anonymised) and using that to find out which offices have the highest commuting emissions.
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