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  1. until
    To sign up to the event please go to our meetup page here: https://bit.ly/32hk47O Risk management has existed for decades. But how many times do we go back and analyse how many times we got it right? How good were we at managing risk? We leave a forensic data plume that evaporates, yet it contains a huge amount of insight. Rather than relying on expert judgement, can we use risk to augment our instinct and counter inbuilt bias? What will the impact of this be on traditional project based risk management roles? Within this session Sue Kershaw, President of the APM, will be chairing a panel discussion on the how advanced data analytics will impact the role of risk management within the project delivery profession. Is this a bump in the journey or will we need to totally reinvent the discipline? Hear from some of the experts in their field including: Andy Murray, Director of the Major Projects Association Richard Bendall-Jones, Risk and Value Manager, Network Rail Roy Millard, Founder and Deputy Chair, APM Assurance. Owner of P3 Risk and Assurance Martin Paver, CEO of Projecting Success and founder of the Project Data Analytics Community Dev Amratia, CEO of NPlan What does this mean for all of us in the project profession and what do we need to do to prepare for this future? Some suggested topics include: How are the panel approaching this area generally? How will the technical companies involved adapt to the shift towards data driven risk management? How should people prepare for this future? How do we get enough data to drive high-end analytics? Will this shine a light on personal performance; how well companies manage risk?
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    To sign up to the event: https://bit.ly/3sDj7C4 The Road to Project Data Analytics Greatness is back! After popular demand, we have decided to rerun our interactive session for those who couldn't attend! Within this session James Smith, PhD 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. 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. Doesn’t this sound like IT?! We don’t think so -these capabilities are becoming mainstream and a key part of our future project delivery roles.
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    To attend the event please go to Meetup: https://bit.ly/39qKNTh Infrastructure projects are rich in data, but we often struggle to leverage it. The data isn’t just on performance metrics and cubic metres of soil, we also capture data on supplier performance, compensation events, and a wide variety of other data. This data is held at every level of our supply chain. Within his talk Alan Perkins, Head of Complex Infrastructure Programme, will be providing an overview of how Highways England are beginning to transform how they leverage this data. He will walk us through a number of case studies, explain some of the implementation challenges and share their vision for what is coming in the next couple of years. A mixture of real case studies, insights and vision, including how they won digital transformation project of the year 2019. It will be followed by Q&A. Highways England is a major client and where they go, their supply chain will follow. They will also help to set the bar for other sectors; many of the challenges are common. Whichever sector you work in, we would recommend that you tune in and see what is coming down the track. Alan 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. Before joining Highways England in 2015, Alan worked for operators BT & Ionica and then moved into the service sector with Marconi. He then joined Alcatel-Lucent for six years as a Project Director delivering telecommunications and IT solutions to the highways, railways and utilities sector across Europe. He is also a qualified expedition leader of the Royal Geographic Society.
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    To attend the event please go to: https://bit.ly/2PmjYsy When extracting insights from project data, a symptom of not understanding the problem statement, is that we often get overwhelmed and dive in without any substantial planning. We end up with several shallow takes on what our data might suggests, but we lack the depth to support and really drive our business case. This talk will showcase the importance of meticulously planning your approach to optimise your implementation of data analytics. Rishi will provide a demonstration in identifying the use case, conceptually designing a data model, understanding the metrics and designing powerful visualisations. Speaker Bio: Rishi is a consultant in the Analytics Experience team at Avanade with a keen interest in Power BI Governance, effective data modeling, and self-serve architecture. His implementations have an increased focus on adoption, monitoring, and rollout strategies. He leads the delivery of strategic and insightful reporting solutions for global FTSE 100 companies. A Data Platform MVP and Chartered Accountant by background, Rishi brings together this financial and analytical prowess to design BI solutions that drive impactful decision-making. He also runs Power Platform Finance and Learn Data Insights communities.
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    We have all worked in organisations that suffer from MI overload, that create constant reporting cycles and seem to have endless data but yet are not very data-driven when it comes to decision making. Very few of the many project reports and portfolio dashboards that we create today are actually used effectively by stakeholders to either stay informed or make decisions (still heavily relying on meeting discussions and ad-hoc verbal updates). As we accelerate advances in project data analytics and the application of machine learning in project predictability, we need to ensure the outputs are understandable and usable to avoid creating more noise that can’t be consumed. This is especially important when applying ML / AI solutions as we have to overcome key trust and explainability challenges in adopting ‘black box’ outputs. So before we get frustrated that no one uses or understands the sophisticated data solutions that we can create, we need to step back and think like product designers. At the end of the day we are creating data ‘products’ to help get a job done. These need to align to the needs and behaviours of both end users and decision makers. The data outputs we create need to be easily consumed by being timely, relevant and actionable. In this meet-up we will explore how design thinking, data storytelling and behavioural change are as important as the data solution itself in enabling step change in how stakeholders use them and adopt a culture of data-driven decision making. Speaker Bio: Craig Mackay is CEO and co-founder of Sharktower, a B2B SaaS company providing AI-driven project management software. Craig has over 20 years’ experience in delivering large scale organisational and technology transformations. With experience in lean, systems thinking, user experience, customer journeys, behavioural psychology and design thinking - Craig understands that successful change management is fundamental to all project and solution delivery.
  6. Effective project data analytics requires data; lots of data. There is a split across industry into how this challenge is tackled, divided into various camps. I’ve summarised them into 5 areas but I recognise that it is difficult to capture all the nuances within such a short blog. 1. Closed systems. This is where a few companies are heading, creating their own vaults of data to shape their own models and analysis. We are seeing these starting to proliferate, from waste to project performance, schedules to risk. Each is individual silos, with bespoke T&Cs. Beliefs: Data is valuable and whoever has the most has an unassailable lead. Innovation is limited to those who own or collate the data. 2. Open systems. Where organisations collaborate, share and pool data for their collective Fully open systems are hard to build because some of the data is sensitive, but data trusts work on behalf of the collective and open up data as far as is practicable, with constraints defined by data owners. Beliefs: Data is more valuable when integrated. Move quicker together. Improve data pipelines together. 3. Blended approach. This appears to be where government are heading through initiatives such as TIES. They are integrating data from across different projects into the cloud. Anonymising data on the way in, but losing utility in the process. In the case of TIES, the cloud is managed by a main contractor, which will ultimately lead to trust issues as they integrate competitor data. It is possible to reverse engineer anonymised data if you have the knowhow. Beliefs: Open up data from across projects. Client data is sensitive and must be protected and anonymised. We will seek to extract more data from contracts in the future and suppliers will be obliged to comply. 4. Software and app development companies are amassing large volumes of data. Do you understand what your rights are regarding your data and how they are using it? How are your insights leaking into other projects? Beliefs: I use my product to acquire large volumes of sensitive data, then sell the insights that I derive from this data to other organisations. I can build out more features, that I can sell. The more data I have, the more valuable my company becomes. 5. Access but not ownership. There are a number of organisations, predominantly project delivery organisations who have access to a vast array of data from client projects such as schedules, cost plans, risks etc. But are they the facilitator for this data or do they own it? This will be hidden deep in contracts, where dispute could be very costly. Beliefs: I have a lot of data in my possession. Ownership isn’t entirely clear, so let’s derive insights from it so that I can add this as a service to my current portfolio. The more data I have, the better the insights. If we follow a path of closed systems or privileged access to data do we drive a behaviour of data hoarding and/or data redaction and manipulation? Clients select suppliers who have the biggest data set, data sets get bigger and we close down competition. Everyone wants to keep their own data because it is the only way of developing an advantage. We inadvertently incentivise a system based on distrust and protection of self interests. This is at odds with Project13 and Gemini principles that sit at the heart of current policy. The National Data Strategy also encourages opening up data for the public interest. Not for a select company, but the benefit of the collective. I agree that there need to be controls, but is it right that government are the arbiter of what is released? I tackled this head on in 2018 and 2019 when government refused to release data, protecting narrow departmental interests. I won numerous cases with the ICO. I lost one, took it to court and won that too. But it is a costly exercise for everyone. With the release of the strategy, the pendulum has swung further in the public interest. Maybe it is time that we develop a citizen panel model, where we decide collectively what and how data should be accessed? We have a window of opportunity to establish some principles that we all are happy to work within, for the benefit of all of us rather than the few. We create an environment of collaboration and inspire innovation. I am campaigner against closed models; the direction of travel is fundamentally anti-competitive, driving bad behaviour and flawed. The Project Data Analytics Task Force is tackling this challenge head on through the data access work stream. Although we are piloting a data trust model in 2 sectors, there is much more that we still need to do. A facility to securely pool data under third party stewardship for the benefit of everyone. A data trust is much more than cloud services; it requires a connected ecosystem to ensure we leverage the value that results from it. And just for clarity, the fundamental principle is that a data trust is owned and governed by its members; where membership is unconstrained. To enable it to operate effectively, the membership needs to be represented by a board, ensuring that it works in the collective interest.
  7. In 2017 we met with people from the NHS and Network Rail to discuss the challenge of learning from experience and how advanced data analytics holds the key. I then developed a paper with Dr Stephen Duffield that summarised our research into 20,000 lessons lesson; we concluded that the process just doesn’t work. We take the complexity of a project and boil the experience down into a few trite paragraphs that are often statements of the obvious. Even today, a recent paper from Grant Mills et al highlights that “the industry as a whole is failing to learn from known failures“. We saw then that the market wasn’t ready. The ideas were too conceptual and we couldn’t evidence the benefits of such an approach. Organisations are also too busy wrestling with today’s demands to look too far into the future. But we knew that recent developments in data science and analytics holds the key. Machine learning is all about ‘learning from experience’, so why not train a computer to assess where things are likely to go astray rather than expecting a project manager to pre-empt every possible eventuality. We recognised that the starting point was to raise awareness. So in Dec 2017 we founded the Project Data Analytics meetup, which has since expanded to >6,000 members. This has provided the foundation for a movement. People who share a vision to leverage project data analytics to transform how we deliver projects. People who share ideas and all support each other. But we realised that people often didn’t have the confidence to get into project data analytics. Project professionals often saw it as a bit techy and data professionals couldn’t get hold of data. So we worked with Sir Robert McAlpine to mobilise Project Hack. A community hackathon that brings people together to solve real industry facing problems. We will soon be on our 7th and will have >100 attendees. But that wasn’t enough, so we developed the Project Data Academy. An apprenticeship based scheme to help inspire people, remove barriers to implementation and to up skill them in the latest developments across the industry. We are creating practitioners to provide the horsepower to deliver the vision and transform how we deliver projects. Change was building, but it was too slow. COVID created additional emphasis to accelerate adoption and to drive up the certainty of project delivery. Society can no longer tolerate the economic consequences of poor project performance. But the problem with project data analytics is, it doesn’t fit the established model. It reaches across current professional bodies. Roles don’t yet exist and the community are wrestling with whether to develop centralised teams or upskill existing talent. We don’t have career pathways; nor do we have agreement on what these roles should look like. We lack consistency in our data, we don’t have standards or the ontologies and taxonomies to underpin them. We lack data and the infrastructure to facilitate access. We see people developing similar solutions, dashboards, apps, insights, repeating the same work within thousands of separate silos. Most of this involves the configuration of existing tools and applications rather than the creation of unique intellectual property. But we could achieve so much more if we could pool these resources. So we reached out to a cadre of senior people we had met over the last 3 years who have a clear passion and commitment to the benefits presented by project data analytics. People who are willing to put their shoulder behind a shared vision and a commitment to make things happen. People who represent multiple sectors, public and private, small and large companies, project and data professionals. In June 2020 we held our first meeting and the Project Data Analytics Task Force was forged. By mid July we had agreed a White Paper, with a vision to facilitate a 10x improvement in project performance, underpinned by 6 key work streams. We were really proud to be one of the lead authors for this paper and even prouder to be elected as the Co-Chair of the Task Force. We now have the foundation for a mission. We set the launch date for 30 September, when we will help to clarify the vision and release the White Paper. In parallel, we have been working with Sir Robert McAlpine, Microsoft, the Open Data Institute and BPE Solicitors to mobilise a Construction Data Trust. A vehicle that will help to securely pool data across construction companies and enable them to solve shared challenges. Productivity and health and safety to begin with, then expanding into other areas from risk to sustainability. Our vision is to leverage the hack and the apprenticeship to develop solutions that we can democratise for the benefit of all. This drives up data quality, data quality, integration and accelerates the rate of adoption. We move quicker together than alone. The journey hasn’t been an easy one. More snakes than ladders. A couple of occasions when the company was on the brink, but we are absolutely delighted that the vision that we shared in a meetup venue in Dec 2017 is now becoming a reality. It is a vision that will transform how we deliver projects, save billions and enable us to deliver more roads, hospitals, energy plants and transformation projects with greater delivery confidence. It will also create thousands of new jobs. Imagine a future where, by the end of 2021 we have >200 apprentices attending a hackathon, working on shared industry challenges. Creating solutions that can be democratised for the benefit of all. This will attract a prize fund of thousands and encourage hundreds of data professionals and students to get involved. We provide access to data that is securely pooled within data trusts. We work with the Task Force to create standards, prioritise use cases and put this firmly on the agenda of every project delivery based organisation. We create an unstoppable movement. How cool would that be? Martin Paver is the CEO and Founder of Projecting Success, a consultancy that specialises in leveraging project data to transform project delivery; from high end strategic consultancy through to apprentice training. He has led a $1bn megaproject and a multi $billion portfolio office. He is the founder of the Project Data Analytics community, comprising ~6,000 members who share a passion for leveraging the exhaust plume of project data. He regularly blogs and presents at international conferences, helping to ignite the professional imagination and inspire change. He is also the co-chair of the Project Data Analytics Task Force and is helping to lead the charge for disruptive change.
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    Our second masterclass of 2021 will be led by Chris Huntingford! This class will focus on giving you a full overview of the components within Microsoft's Power Platform and how they can be leveraged in your specific areas. We will take a look at the technical architecture and then snap this to several use cases to bring the technology to life. Some more information about Chris and his work: “I’m a geek and proud to admit it! I’m also a rather large, talkative South African who plays drums, wears horrendous Hawaiian shirts and has an affinity for engaging in as many social gatherings as humanly possible. have an intense enthusiasm for technology. I Currently work within the Avanade Global Center of Excellence team. I am a terrific tinkerer, a passionate problem solver and a magical maker. As long as I am creating something, I feel fulfilled. Technology provides me with my creative outlet, especially in a digital format.”
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    In the field of Project Data Analytics a lot of what is possible is unrecognised by the majority of the project community. We developed Project:Hack to show the art of the possible within a weekend. Project:Hack was created to provide a platform for professionals and students to get hands-on experience working with data on real business challenges. Our 8th instalment of Project:Hack is on the horizon and we're looking to optimise your experience by building your competitive appetite and preparing you for the upcoming event. This talk will feature guest speakers and advocates of Project:Hack from various organisations and sectors who will give insight into their past experiences of the event and how you can bring tangible benefits to your organisation. The Talk: - A run through of how challenges are developed in line with organisations and sponsors - What to expect at your first Project:Hack and how to tackle it - Case Studies of how challenges were tackled within teams over two days, which include: 1. Tracking Covid-19 Transmission Hotspots 2. Health & Safety Incident Predictions 3. Predictive Hit/Release Modelling in Projects - Insights of the event from Data Scientists - How to get started with Project:Hack8 The Speakers: - Andrew Dickinson (Leading-Edge Consultancy Solutions at Costain Ltd.) - James Smith (CTO at Projecting Success) - Katie Mcloughlin (Transport Planner at Jacobs) - Yoshi Soornack (Consultant & Hack Event Lead at Projecting Success) - Ben Morris (Data Scientist at Projecting Success) - Jamie Randall-Schab (Programme Reporting Lead at Palace of Westminster) - Pedro Bureo (Senior Program Manager at Baker Hughes) - Matt Paver (Data Analyst at Projecting Success) - John Jenkins (Data Analyst at Projecting Success) At the Project Data Analytics Community we aim for our events to ignite the professional imagination on what can be achieved and shape the future of project delivery. This could be your first step on a journey to pioneering solutions that have never been done before. 210224 ProjectHack Masterclass Talk.pdf
  10. Matt

    Project:Hack8

    until
    Project:Hack8 is the leading community event for helping to transform how we deliver projects via data. Get involved and make a difference. About this Event Welcome to Project:Hack 8 - our 8th Project Data Analytics Hackathon! £5000 worth of prizes! COVID-19 Compliant - fully online If you would like to help shape how projects are delivered in the future, then Project:Hack will give you the opportunity to work with and influence major players in industry who share this bold vision and passion. Data Science is transforming how projects are delivered, it can save billions for society, improve certainty in outcomes and change the face of the project management profession forever. 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. Masterclasses We will be running a series of masterclasses from industry experts, based around the challenges set on the Wednesday before the Hack. They will target some of the key skills in project delivery and will be tailored to suit a range of skills and expertise. Challenges The brief for Project:Hack8 is to deliver innovative solutions around project delivery themes. Challenges have been devised to suit different skillsets and levels of expertise (masterclasses will be based around these). Further information regarding the challenges will be announced nearer the time. For a taster of what we got up to at Project:Hack8 plus the presentations, videos and blogs click here. For the latest news follow us on Twitter, LinkedIn & Facebook using #projecthack. Let’s get started! We'll start the weekend 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. In the COVID-19 meltdown we won't be able to award prizes, but you will be able to bask in the glory associated with shaping the future of project management. 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! We have space for a couple of hundred people, so please spread the word. Fees We had 250 people signed up to the last event and 106 people at the hack. 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. Is everything online? Yes 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 let us know.
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