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  2. My name is Alex, an MSc Data Science postgraduate student with Robert Gordon University in Aberdeen and member of the teams that achieved 2nd and 3rd place in Project:Hack 8 and Project:Hack 9 respectively. Having graduated in law, worked in banking and asset management, and then pursued a master’s degree in data science, I love walking out of my little domain bubble. What are other companies doing, what are other industries doing and how are they doing it? You never know what you are going to learn or who you are going to meet, and information is valuable. It gives you perspective. These questions brought me to Project:Hack 8 in March of this year and, subsequently, Project:Hack 9 in June. Both were well organised and structured by Projecting Success, with technical support ready if needed. The challenges were clear, practical, and commercially relevant, and the pool of participants diverse. From students, apprentices and newly minted coders to data scientists, project managers and the wonderful people from Gleeds: James Garner, Nicola Herring, Manojit Sarkar, Nahid Jafar, Sheldon Atkinson and Basel Yousef, who welcomed and treated me like an equal member of the team although I was just a student. During Project:Hack 9 we tackled Challenge 11, namely a cost prediction model that uses machine learning to improve cost forecasting on construction projects. Whilst this challenge was within my field of data science, I had limited knowledge of the context in which the solution was being developed, namely construction projects, and two of the programming languages. But I was curious and ready to put in the effort. We were pragmatic and creative in our approach, a reflection of Gleeds’ own vision and values, and within 18 hours we created an innovative solution that brought us 3rd place. As well as working in HTML and Java for the first time, and more interaction with Power Apps, I also gained deeper insight into an industry that I had previously thought as difficult to access given my background but which I am now actively considering shifting to from financial services. As with everything in life, an opportunity is only as valuable as you make it. Whether looking to put your skills into practice, expand your portfolio or strengthen your business acumen for graduate programme applications, Project:Hack is a well worth investment as a student. Be brave, be intrigued and be yourself. The challenge sponsors want to work with you, they want to hear your ideas and see what you can create. Your input matters. As for me? I’m a convert. With two successful hacks behind me and many challenges still to be tackled my work here is not done. Prior commitments are keeping me busy in August however roll on Project:Hack 11!
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    Get tickets here: Project:Hack 10 Tickets, Sat 7 Aug 2021 at 09:00 | Eventbrite Or if you're a student? Email sophiek@projectingsuccess.co.uk for your exclusive free ticket code ... Welcome to Project:Hack 10 - our 10th Project Data Analytics Hackathon! Win a prize worth thousands of pounds, Project:Hack9 had £5000! Opportunities to network and impress organisations such as NHS, Mace, GSK, 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/ 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. Challenges The brief for Project:Hack10 is to deliver innovative solutions around project delivery themes. Challenges have been devised to suit different skillsets and levels of expertise . Further information regarding the challenges will be announced nearer the time. For the latest news follow us on Twitter, LinkedIn & Facebook using #projecthack. Project:Hack 10 challenges coming soon! 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. 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 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).
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    Register here: Net Zero: How Your Organisations can be Harnessing Data to Support the Mission | Meetup “It’s not as bad as you think – it’s worse.” Sir James Bevan, Chief Executive, Environment Agency Climate change will have an impact on all of us. Action needs to be taken on this and the broader nature challenge. The Project Data Analytics Task Force is launching an initiative to prompt and inform project and data professionals on the actions they can take in relation to carbon (as a proxy for climate change) and how they can influence others and contribute their expertise and energy. Join us on the 18th to hear WHY this is critical and WHAT is being launched in advance of COP26. The predicted impacts of climate change over the next 30 years are catastrophic. In our working lifetimes, we have the last remaining opportunity of any generation to make a difference. The good news is, we can. And the sooner we act, the bigger the difference we will make. The most successful organisations will get ahead of that trend and be prepared to demonstrate case studies to raise the bar across industry. This is a systemic problem, and it needs a systemic solution. Use of the UN Sustainable Development Goals could help, as a framework by which we optimise every decision we make, and measure our success. That the environment is not something we think about as a separate item, or an obligatory ‘add-on’. It is inherent in every decision we make – to maximise the benefit for the environment and people, and to minimise the detrimental impact. For project professionals we believe that the biggest untapped potential to contribute to the climate and nature emergencies is through effective data analytics driving out ‘waste’ in every aspect of decision making in project delivery. But there are human and commercial barriers to this. The Project Data Analytics Taskforce has chosen to start by raising awareness amongst project and data professionals of the challenge at the foundation of the profession where there is the greatest opportunity to make change happen. To achieve this we have developed the Carbon Self-Evaluation tool. Using carbon as a proxy for climate change action, the self-evaluation helps individuals to benchmark themselves against their peers in their own and other sectors. The tool encourages action to be taken from the bottom up while providing data that will challenge the effectiveness of top-down strategies and policies. Suggestions will be made as to what action individuals can take and also share good practice and identify where help and support are needed. By taking part, individuals will also help to shine a light on how we are doing as a collective. We aim to take these insights to COP26. We do have a choice about what we do now. As a project delivery community don’t underestimate our immense collective power, and our moral duty to act. Please, choose wisely. 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 analytics, we can. Donnie MacNicol works across multiple sectors energising leaders and teams delivering complex change to maximise value and certainty of success through a focus on the human dimension. He acts as a catalyst to support organisation to improve their collaboration and capability – aspects that will be critical to meeting the NetZero target. He is keenly aware of the challenges faced and wants to use his experience, expertise and energy to make a difference.
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    Register here: The Project Data Analytics Starter Kit: Getting to Grips with Data in 2021 | Meetup After popular demand, a new and improved Project Data Analytics event with James Smith, PhD is here! 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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    Sign up here: Masterclass Project:Hack10 Hear from previous hack attendees on what to expect | Meetup 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. Our hackathons were created to provide a platform for professionals and students to get hands-on experience working with data on real business challenges. Project:Hack10 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 from the top four winning teams at Project:Hack 9! They are 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 - How to get started with Project:Hack10 - Case Studies of how challenges were tackled within teams over two days, which include: 1st place went to team 1a, a challenge set by Costain to extract construction pricing estimate data from an unstructured data source and transform this into a structured dataset, and secondly to create a visualised search tool that can be used to access the data in a quick and efficient manner. 2nd place went to challenge 10, developed by Projecting Success. A challenge that involves using the power of a state-of-the-art natural language model (GPT-3) to automatically create tailored messages to different stakeholder groups on a construction project. This involved creating personalised messages to the various stakeholders using the data provided as prompts to GPT-3. 3rd Place went to Challenge 11a – A challenge that built on the work of the Knowledge Transfer Partnership (KTP) with the University of Nottingham. The challenge intended to improve cost forecasting and/modelling to make it an automated and efficient way to reduce cost. The challenge was to create a machine learning prediction model and further develop our dashboard to allow automatic access to the predictions. 4th place went to challenge 1b - This challenge was about making it easier to work with unstructured data to search and find information. The challenge required hackers to take a pdf filled with data and tables and pull that all into a completely new structure. The Speakers: Kuldip Khella, Senior Estimator, Costain Shailendar Palle, Senior Estimator, Costain Jozef Quinn, Business Intelligence Analyst, Costain Jon Barritt, Lead Principal Temporary Works Enigineer, Costain Hamish Bryant, Reporting Analyst, Costain Christine Curtis, Principal Process Engineer, Costain Torben Schmidt-Hansen, Assistant Cost Intelligence Consultant, Mott MacDonald James Fleming, Data Analyst, Projecting Success Jack Reynolds, Data Analyst, Mace Russell Willis, Data Liberator, Mace Vipul Kumar, Geotechnical Engineer, Mott MacDonald and PhD student at University of Cambridge James Garner, Senior Director, Gleeds Jake Watson, Data Engineer, The Oakland Group More TBC
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    Register here: How The IPA are Harnessing the Power of Data to Support Major Projects | Meetup The UK government delivers some of the most complex and innovative projects in the world. This requires a world class project delivery capability: Government needs to be rigorous and fearless in its evaluation of policy and projects. To this end they have commissioned IPA to develop the systems, capability and capacity necessary to achieve that objective. The Infrastructure and Projects Authority (IPA) is the government’s centre of expertise for infrastructure and major projects, supporting the successful delivery of all types of major projects. This talk is led by Mark Hunter the Deputy Director for Performance, Benchmarking & Data at IPA. Mark will take us through the role data plays in IPA's covering the unique remit and breadth of data and analysis work at play. He will underline initiatives and involvement which help progress the vision of project data analytics, In addition to outlining the challenges of data collection and processing across Government.
  9. If you’d ask me 6 months ago what a data analyst did, I would've given you a shrug at best, but after the intensive week involving a crash course in Python Scripting and Power BI followed by my first Hackathon, I think I’ve turned into a data evangelist. Apprentices can take advantage of the Government Apprenticeship Levy, enabling them to get advanced analytics training at no cost to themselves or their employers. I previously spent two days at Project:Hack as a complete novice. Without a lot of tech skills to offer my small team, I focused on the User Stories, dashboards and the presentation. But what I saw being developed by the hundreds of people in attendance was staggering. As a more mature student with a well-established role at Costain, I don’t really see myself becoming a full-time data analyst. What I would like to do with the skills I gained from the apprenticeship is take the new skills back to the projects to produce and share useful project management tools. Also I see a side-quest in championing a Data-as-an-Asset movement. Data is much like any real physical asset. It can be optimized in vast quantities, learned from and focused onto real world outputs. To do this we need people to translate Client Needs into problem statements that have answers lurking inside of data. This is where I see myself operating. Andrews' foresight for data analytics is inspiring. Every intake at the academy demonstrates to us the value in bringing data analytics to project delivery and it's great to see them go on to pioneer change within their organizations.
  10. Hi Everyone, A huge thanks to everyone who supported and participated in Project:Hack9! 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:Hack10. Hope to see you at the next one! Dates to be announced soon. What do you think? What would you do to improve? Feedback Hack9.xlsx NOTE: To download the feedback, please join the Project:Hack club
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    Register here - Insights from the US: AI construction institute to reality capture solutions. | Meetup The US National Institute for Artificial Intelligence (AI) in Construction will create the first-of-its-kind institute for the application of AI in design, construction and operation of buildings and infrastructure systems. Mani Golparvar, Associate Professor of Civil Engineering, Computer Science, and Technology Entrepreneurship at University of Illinois has been a key part of the creation of the institute. Mani will provide an overview of their journey so far, aspirations and how the institute fits within other US developments in the field of project data analytics. In the 2nd part of his presentation Mani will present how reality capture and BIM data can be processed to form a visual production management system for achieving production efficiency on construction sites. Specifically, he will present how images and videos from 360-degree cameras, smartphones and drones can be used within computer vision algorithms to automatically generate 3D reality models of indoor and outdoor environments over a project timeline. He will also demonstrate how measurable reality models can be integrated with BIM and project schedules in the form of digital twins such that AI algorithms can track progress and productivity and identify risk for potential delays. A great opportunity to gain insights into the latest developments in the US and specifically, the latest in reality capture, BIM and schedule integration. Short Bio Mani Golparvar is the CTO and Co-founder of Reconstruct Inc., a Software-as-a-Service company that integrates reality modeling, BIM and project scheduling to visually track progress, analyze productivity, and proactively detect potential delays using predictive analytics. He is also Associate Professor of Civil Engineering, Computer Science, and Technology Entrepreneurship at University of Illinois at Urbana-Champaign. His work in the area of computer vision, machine learning, and BIM has been the recipient of many numerous awards including 2018 Walter Huber Research Prize from ASCE, 2017 National Top 20 Under 40 from ENR; 2017 Hojjat Adeli Innovation in Civil Engineering from Wiley and 2016 Dan Halpin Award for Scholarship in Construction from ASCE. Reconstruct has also been recognized by several awards such as Crunchbase’s 50 hot tech companies globally in 2019, 2016 World Economic Forum most innovative startup company and 2016 Innovation Award from Turner Construction.
  12. I’m loving learning about data analytics in a well-structured way. I’ve tried learning more about data analytics before but there’s so much information out there and it’s difficult to separate the good from the bad. Before the apprenticeship, I struggled with Data visualisation and Python but now I have developed a great love for both. The tutors explained all the concepts in an understandable way and the lessons were very rewarding. I have already completely changed careers to be much more involved with data analytics and I believe this is all down to the apprenticeship. It has given me the key skills to be an effective data analyst and it’s also given me the grounding to then be able to look at other learning opportunities and add them to my knowledge base. My challenge required analysing material requisition data from a large infrastructure project. I wanted to get an understanding of what materials prices, price variations and ultimately try to develop a tool which could identify and alert when the best time to buy was. A couple of data scientists joined the team and we seemed to be making good progress until we realised the data quality was bad. The project ended up being an exercise on data quality, how to improve it and what impact the poor data quality had on the final output.
  13. Hi, I am keen on this particular challenge, but would like to scope out others who are also interested to begin forming a team. Any interested takers>? Torben
  14. Cool to see a mental health challenge in here, this sounds great! Is anyone interested in forming a team to give this one a go?
  15. If you want to learn more about Project:Hack9 please see the hack page Project Hack - Project Data Analytics Community If you want to register for the event, please see the Eventbrite page https://bityl.co/70ih
  16. Challenge Overview Can we develop an accurate and robust machine learning model to improve cost forecasting on construction projects? We would then like to integrate this model with our existing dashboard. Challenge Breakdown A challenge that builds on the work of the Knowledge Transfer Partnership (KTP) with the University of Nottingham. This challenge intends to improve cost forecasting and/modelling to make it an automated and efficient way to reduce cost. The challenge is to create a machine learning prediction model and further develop our dashboard to allow automatic access to the predictions. The data itself is from the BCIS a paid subscription service. The data provided will just be for the hackathon itself. You will be developing a predictive model using project level information. Skills: Learn Power Bi through an existing dashboard Develop your programming skills (for machine learning specifically) Learn Power Automation and create work flows
  17. Challenge Overview Can we utilise GPT-3 to create tailored messages to different stakeholder groups based on contextual project information and message templates? Challenge Breakdown A challenge that involves using the power of a state-of-the-art natural language model (GPT-3) to automatically create tailored messages to different stakeholder groups on a construction project. You will need to create personalised messages to the various stakeholders using the data provided as prompts to GPT-3. You are required to 'engineer' the prompts that you provide the model to achieve the desired outputs. Skills: Working with APIs Using the GPT-3 natural language model Investigation into data-driven stakeholder management
  18. Challenge Overview Can we use the power of graph databases and graph analytics to identify weaknesses that exist within the supply chain of a portfolio of projects? Challenge Breakdown A challenge to find supply chain weakness. You will be using US government data to develop complex graphs using Neo4j or something similar. With focus on graphing, this challenge allows you to explore the more advance visualization options while still challenging you to keep it relevant and informative. You will need to identify critical metrics of the supply chains and reveal the most vital elements. Skills: Use Neo4j A focus on complex graphs Work with a large dataset
  19. Challenge Overview Can we use gitHub's API to search through existing repositories to determine how long a programming project will take to develop and how likely it is that there will be delays in development? Challenge Breakdown A challenge about predicting how long a programming project will take. This challenge requires you to gain meta data from GitHub a free programming repository. Use the huge data set to create a search function to be able to see how long certain types of projects take to develop. Use tags and whatever data you can find to inform these searches to provide as much insight as you can get. Skills: Web scrapping and API handling Learn Power BI Work with a massive and varied set of data Find your own insight and decide what is important
  20. Challenge Overview Traditional project plans regards dates and durations as being known and deterministic, a simplified model which often struggles when it encounters the realities of execution. This challenge is focussed around the opposite - obtaining insights from a plan where all dates and durations are described in terms of probability distributions. Challenge Breakdown A challenge to find insight into milestone data and nondeterministic durations. The data set for this challenge contains task information and how long it is predicted to take, compare this with a variable result and find insight on where bottlenecks and issues occur. Use decision topology information and create your own metrics to present the data in a meaningful way and perhaps find additional insight into what is important. Skills: Learn Power BI Use data to inform about project management Learn and develop new visualisations for project management Create your own metrics
  21. Challenge Overview Can we perform a detailed investigation into the design performance on our portfolio of projects, developing a set of metrics based on project financial performance. We would also like to understand in detail the performance on individual projects, to allow Project Managers to implement mitigating action. Challenge Breakdown A challenge to measure the performance of a project and where it can be optimized. In this challenge you will have to combine various data sets to establish a metric for project performance. We will provide some performance metric ideas but it will be up to you to get useful insight from the data. Take RFIs, drawings and project level infomation to create dax or python queries to find the insight you need. Skills: Handling and linking multiple data sets Learn Power BI and DAX Find new insight in the data Build meaningful visuals for project managers
  22. Challenge Overview: Can we create a tool to flag potential concerns within the cost budget for a project based upon forecast and actual cost data from previous projects? Challenge Breakdown: A challenge about using past data to see where cost forecasts may be inaccurate. This challenge will have you using the provided data to try and find trends in unexpected purchase costs. Then you will use this metric to warn staff if their future predictions do not match what has happened in the past. We want you to try and find deeper insight with this challenge and provide us with ways to take full advantage of this data. Skills: Finding insight in limited data Developing metrics to predict what may happen in the future Learn Power BI Explore new and relevant ways of helping businesses prepare for new projects
  23. Challenge Overview Can we create a reporting tool to receive weekly updates on the mental health of our teams throughout various projects? Can we gain insight from this data and create a flow that keeps management appraised of our teams' mood and needs? Challenge Breakdown A challenge to explore the topic of mental health in the working world. This challenge is about developing a mental health reporting system for various companies to use to track their staffs mental health in relation to project management. The task is open ended and we are very excited to see what may be possible in this space. Skills: Learn Power BI, Power Apps and Power Automate Develop a solution that will act as a foundation for the future of mental health reporting Work on new ideas to explore new possibilities Develop the full flow of a new solution
  24. Challenge Overview Can we efficiently display relevant visuals for all our health, safety and environment data that is easy to understand and tailored to employees at different roles? Challenge Breakdown A challenge to develop four unique dashboards in an attempt to set an industry standard. Work with various different data sets to try and tell a story and create reusable dashboards. This challenge is all about creating the insight. The four dashboards are about HSE metrics and developing a method to provide all the health and safety data to a project manager and higher management. Using data about incident reports, waste and carbon emissions help to improve safety in multiple industries. Skills: Learn Power BI Create vital insight for multiple industries Develop a solution meant for project managers and learn to tell a story with your data
  25. Challenge Overview Can we scrape project cost estimates from an unstructured data source into a structured form? We will be developing a visualised search tool to be able to access this data in a quick and efficient manner. Challenge Breakdown Budgeting and estimation in the construction industry is a vital but often a time-consuming endeavour. Can we build a testable dashboard to search through this data and gain further insight into the data through visualisation? This challenge is about making it easier to work with unstructured data to search and find information. The challenge will require you to take a pdf filled with data and tables and pull that all into a completely new structure. You will then have to provide a search feature to allow industry professionals from a non-technical background, the opportunity to search for the things that they need. In this challenge you will develop your critical skills through collecting data from unstructured sources, developing queries and learning the ins and outs of the Power BI and Azure Cognitive search features.
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    https://bit.ly/3tCC3AH Sir Robert McAlpine have been at the forefront of the transition to project data analytics. They have a vision that is helping to shape the industry. Grant Findlay has taken a leading role in mapping out this vision, from shaping the strategy for the Project Data Analytics Task Force through to chairing the Construction Data Trust. He is also championing transformational change within his business, with partners and in the wider supply chain. Grant will set out why and how he believes the profession needs to change, the potential prize available to us and share insights into his journey so far. Although his challenge is focused on the construction industry, the insights will be applicable to every sector that aspires to transition towards data driven project delivery.
  27. We all know projects are extremely complex system that are influenced by extremely large number of factors. Often project failure can be due to hidden causes that can sneak up on project managers. Data holds the key to preventing this, as it allows us to peer into the past and better understand our mistakes. In many projects, one of the main major issues holding us back is that we lack the quantity of useful data needed to perform in depth project data analytics and the data we do have is limited in scope. Currently, project managers mainly pull from 1st party datasets (Datasets with a direct relationship with the problem), which does provide some insight. However, do many people know of the true power of 3rd party data? What is Third Party Data? Third party data is data that sits outside the organisation. Often the data has no direct relationship with problem at hand. A good example would be when a project manager wants to know why there are delays in the a construction project, they may use weather data to provide deeper insight into the condition on site. In doing this project managers can have a holistic view of the project. Project professionals may find this is interesting, however are there any real world examples of third party data being used? Well the winners of Project:Hack 8 (Challenge 5a) displayed the power of third party by solving this problem. Here cost managers need to understand price trends in key raw construction materials, in order to know when is best to buy them. So the team took data on construction material from the Office of National Statistics and third party data from the London stock exchange, to provide insight into the price of these raw materials. This allows cost managers to make more informed decision, when buying these materials and also it allows data scientists to better machine learning models that make more accurate predictions. AWS Data Exchange In the previous example, code had to be developed and deployed to allow for the extraction and integration of the third party data. This process is time consuming and costly. AWS Data Exchange saves on these cost greatly, as this service provides pre-built data pipelines connecting data subscribers (consumers of data) and providers (producers of data). The service acts as a place where data subscribers can gain easy access to third party data. Meanwhile, for data providers it acts as a market place, where they can sell their data on. This enable through the AWS Data Exchange API. Project professionals and project data analysts will have access to data from all across the world and across industries. The marketplace offers useful data sets including data on COVID-19 to data from the public sector. These new data source can help expand the scope of project data analytics and thereby allow management to make more informed decisions. How does this all work? Once sourced, this data can be then stored in Amazon Simple Storage Service (Amazon S3), which is a scalable storage service. This data can be further analysed with AWS analytics and Machine Learning services to provide important insights. So when looking to advance your analytics, think about third party data sets and how they can enrich your data.
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