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Data Competency: Better Skills or Better Systems webinar

APM webinar sponsored by the South East branch on 7 September 2021.

Host: Marius Vermaak

The guest speakers for this webinar are:
Dan Hare
Luis Lattuf-Flores
Martin Paver

As the use of data becomes more embedded in the project environment, it will demand a greater level of data competency from project professionals and their organisations.

During this lunch-time webinar, we will look to explore how the use of data in the project environment impacts the way we work. We will talk to industry experts from various sectors, to help us better understand how investment in upskilling and systems can ensure future project success. We will look to identify the key benefits of these two elements of a project.

https://youtu.be/tZ0D5bHyYOk
https://www.apm.org.uk/news/data-competency-better-skills-or-better-systems-webinar/

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Data Competency: Better Skills or Better Systems webinar

  1. 1. PID - "Data Competency: Better Skills or Better Systems ?"  Brief  As the use of data becomes more embedded in the project environment, it will demand a greater level of data competency from project professionals and their organisations.  Proposal  Prove value with real data before and after any project.  Give your Excel experts data skills and no-code tools to provide usable data.  Automate the routine, leave the unusual to people.
  2. 2. Organisations kill process innovation Tradition Suggestion Replace “broken” system Get data right, then integrate Freeze “change” budgets Freeze “run” budgets Detailed requirement process Experiment with real data to prove value Automate 100% of 1 problem Automate the easy 80% on 10 problems Customise systems Adapt business and integrate Lock preferred supplier and software list Allow new ideas Technology migration with code Business migration with no code Manual system and data testing Automated testing Hire data scientists Train data analysts in Auto ML Reward Headcount Reward Savings Digital Transformation/Cloud in 2022/3 Get on with it now !
  3. 3. No Code Data Automation as Process Lens
  4. 4. Project Governance
  5. 5. Data Cleansing
  6. 6. System Migrations and Reconciliations
  7. 7. Regulatory Reporting
  8. 8. Questions please ! dan@continuum.je
  9. 9. Thank you
  10. 10. Data Competency: Better Skills or Better Systems APM Event: 7th September 2021 Luis Lattuf – PhD Researcher
  11. 11. About: • Me: Background in Civil Engineering and Construction Management. Now doing a PhD at WMG in Project Data Analytics (PDA). • WMG’s Project Praxis Group: helping organisations turn the best of project research into the best of project practice. Wide range of research activities underway looking at the effective use of project data analytics in data-driven decision-making in projects. Barriers and Enablers for the adoption of PDA. PDA: The state of the art and science. Project Data Maturity Model. Machine Learning Algorithms for project prediction. PDA in the UK Civil Service GMPP.
  12. 12. (R)evolution: Barriers and Enablers of Project Data Analytics in Infrastructure Projects Professor Naomi Brookes PhD DIC FHEA Luis Lattuf Flores Sponsored by
  13. 13. • Why should we adopt Project Data Analytics? Large infrastructure projects are notorious for their perceived poor delivery. At the root of this poor delivery lies poor decision making. Projects have always used data to support decisions; nevertheless, despite having more data than ever before on our projects and a plethora of digital tools to hand, there is little evidence to suggest any marked improvement to decision making. Feasibility studies indicate that using PDA better could produce savings of over £23bn per annum in the infrastructure sector. Yet PDA is still not understood or adopted. In this report we explain why this might be the case and what can be done about it. • So what is Project Data Analytics - PDA? Project data analytics, at its simplest, is the use of past and current project data to enable effective decisions on project delivery. This includes: Descriptive analytics: presenting data in the most effective format (Dashboards are a good example of this) Predictive analytics: using data to predict future performance
  14. 14. • What’s the state of the art of Project Data Analytics? Suggested Read: APM’s Pathfinder Report. Project Data Analytics: the State of the art and science. https://www.apm.org.uk/resources/research/published-research/pda-pathfinder-report/ It’s certainly true that the huge potential of PDA is far from being achieved. Initial studies demonstrate that whilst descriptive PDA especially in terms of dashboards are widely used, these are not resulting in the improvements in decision making that would be expected. On the other hand, Predictive PDA is only being pursued by an exceedingly small number of infrastructure providers. Given the huge potential for PDA to improve infrastructure project delivery and its failure so far to live up to its promise, there is a pressing need to understand the barriers and enablers to the adoption of PDA.
  15. 15. • The investigation approach: A Delphi Study This report used a Delphi approach to identify the barriers and enablers of PDA adoption in infrastructure project delivery. It consulted an extended panel of senior project practitioner experts from across the stakeholder groupings and role type in the infrastructure sector. It used a structured process of elicitation of views in a series of rounds of consultation that used the output from one session as the input to the next. One of the most important features of this report are the direct quotations taken from these participants on their experience of project data analytics. Produce Delphi Outputs Review Delphi Findings Delphi Event Pre-event Questionnaire
  16. 16. • Delphi Participants Wide range of stakeholder groups and viewpoints of roles across project delivery
  17. 17. • Delphi Participants
  18. 18. • Findings Implementation Issue Themes Core High Ranked Barrier/Enabler Benign data environments Good data quality Motivating to Adopt the Unknown Available exemplar cases Unprecedented Change Management Recognising the scale of the change task PDA Friendly Culture Eliminating the fear of data Universal Data Literacy Need for awareness not analysts PDA Standards and Systems
  19. 19. • PDA Standards and Systems Theme related to the issues of the software, architecture and systems that are used to capture, collate, process and analyse the data used in PDA. The participants in the study related the challenges associated with a lack of consistency across organisational units as a result of the historical evolution of management systems. It was found that projects often encountered difficulties because of basic failures to use common definitions throughout their organisations for items as fundamental as project identifiers. Therefore, there is a pressing need to bring about the standardisation of data management systems and processes so that consistency in data collection and management is achieved across all operating units and projects. • System proliferation (B) • Organisational Standards (B&E) • Doing the basics (E)
  20. 20. “The underlying issue isn't that there are many systems, it is that they all may be coded differently.” Senior Project Controls Executive, International Construction and Professional Services Organisation. “As long as you've got a standard for what it is that you need from a data perspective within each of your systems, it doesn't matter whether or not you've got 2 or 10; obviously, it's more efficient if you've got fewer, but as long as you're able to extract the data from all of those, proliferation of systems is not necessarily a problem for PDA.” Senior Data and Analytics Executive, UK Construction and Engineering Organisation. “When you have disparate business units within your state with different methodologies and different terms and different units, then it makes it really difficult to compare data even within the organisation.” Senior Cross-Organisation Learning Executive, Infrastructure Client - Energy
  21. 21. • Universal Data Literacy This theme refers to issues relating to fundamental levels of data literacy needed by individual project practitioners to implement PDA. Participants were very clear that they did not feel the need to have cohorts of data analysts join the ranks of project practitioners. What they required instead was to develop a ‘data literacy’ across all members of the organisation related to what data is and how it can be used. A key enabler was found to be cutting through the jargon around topics like PDA to give people a basic understanding of what PDA can deliver and how it might contribute to decision making. • Awareness not analysts (E) • Understanding the tech’s capabilities (E) • Basic PM Knowledge (E) • Tailored Competency Framework (E)
  22. 22. “This isn't about training all the people in projects and trying to make them data scientists, this is about people with a good appreciation on how it (PDA) fits together with their day job.” CEO, Delivery and/or Data Consultancy “It's a qualifier for me. It's not that we need to set up scores and go and have another 10,000 people with a particular function joining the project profession; every project professional needs to improve their data literacy.” CEO, Projects Professional Membership Organisation
  23. 23. • Implications It is noteworthy that participants did not rank issues surrounding the standards and systems of PDA adoption as of the highest importance. Instead, they prioritised aspects of the fundamental environment for PDA. Their responses exemplified that adopting PDA successfully goes way beyond the simple acquisition of a new piece of analytics software or a new dashboard. The thematic issues are linked together in a network of complex inter-relationships. These need to be managed carefully in implementation to insure the establishment of virtuous (and not vicious) cycles. There is no ‘silver bullet’: all aspects of implementing need to be considered holistically and simultaneously. Secondly, organisations need to recognise that their journey to adopting PDA needs to reflect how mature they are across the thematic areas. Only by addressing all aspects of organisational implementation and by tailoring their journey will organisations be able to benefit from the huge potential that project data analytics offers. “Project Data Analytics can be implemented. But there is not a ‘silver bullet:’ lots needs to happen.” Senior Cross-Organisation Learning Executive, HMG
  24. 24. • Actions Assessing PDA organisational readiness assessment through maturity models. Protocols, tools and systems maturity Individual skills maturity Data environment maturity Managing change maturity Leadership and culture maturity Overall PDA Adoption Maturity Motivation maturity Pay particular attention to the ‘top five’ implementations issues Creating Awareness not Analysts: There was a widespread response from the Delphi participants that largescale entrants of data analysts into the project delivery professions was not required. Instead they saw a universal need for all project practitioners to be ‘data literate’ (i.e. to have an understanding of the role of data and how it might contribute to decision making) and to be tech savvy (i.e. what tech can and cannot do). Organisations need to identify where they are going to get this sort of competence training from especially given the current dearth of such offerings.
  25. 25. THANK YOU If you want to collaborate If you have any doubts or want to know more • Please Contact Us: • Luis Lattuf • Luis.Lattuf-Flores@warwick.ac.uk • https://www.linkedin.com/in/luislattuf/ https://warwick.ac.uk/fac/sci/wmg/research/tran sformation/project_praxis/ • Project Praxis Group
  26. 26. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Data Competency: Better Skills or Better Systems 6 Sept 2021 Martin Paver CEO Projecting Success martinpaver@projectingsuccess.co.uk
  27. 27. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Background • I started on this journey around 2014 • I started to invest a lot of effort into it in 2017. • I founded the project data analytics community in Dec 2017. • We had held 10 hackathons to help push the boundaries. • I am the co-chair of the Project Data Analytics Task Force. • We are the data steward for the Construction Data Trust. We have been the driving force behind the initiative
  28. 28. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Challenge 1: Experimenting or part of the Board’s agenda? Plus lack of a coherent vision
  29. 29. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Challenge 2: Tactical vs strategic Tactical point solutions Data driven project delivery
  30. 30. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Challenge 3: What problems are we trying to solve?
  31. 31. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Challenge 4: Our data isn’t good enough
  32. 32. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Challenge 5: We lack capacity. Stuck in the ground battle
  33. 33. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Challenge 6: We lack people who understand and can apply PDA
  34. 34. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Tech only approach Solutions are proliferating. Tech is no longer a barrier. But…. 1. How do you decide on priorities? 2. A tech or data driven strategy? 3. What data should you collect? How much? What quality? 4. Who owns the data? What rights do you have? 5. How do you contract for this? 6. How do you trust the hype? 7. How do you join the solutions together? 8. A fool with a tool is still a fool
  35. 35. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Blindly applying tech doesn’t work Domain expertise is essential to shape priorities and the destination Projects transcend boundaries - collaboration is key
  36. 36. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Our own experience… • The challenges are very real and are limiting progress. • We need people who understand this. • People need to shape what data they need. • Must be data driven and tech enabled. Not solution driven. • Tactical solutions will take us part of the way, but a dead end.
  37. 37. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Better skills or better systems? We must start by up skilling: • Inspiring people on the art of the possible. • Developing strategies and plans. • Identifying priorities. • Providing them with the skills to apply the technology. • Provide skills to design their ecosystem. Otherwise, we bring in data scientists to process data this is disconnected from the problems we aspire to solve Better systems enable this. But without a plan, it all becomes vendor driven.
  38. 38. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 We saw the dearth of these skills as a major obstacle to realising the vision That is why we helped to found: • The meetup • Hackathons • Project data academy • Project data analytics task force That is why we helped to found: • The meetup • Hackathons • Project data academy • Project data analytics task force
  39. 39. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 In the next 4 weeks we will be launching a portal to open source the technology emerging from the hackathons. We democratise the solutions, tailored around project use cases. People will need to understand how to deploy them.
  40. 40. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Skills first…. to unleash new superpowers… ...enabled by tech
  41. 41. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 A new dawn is here Are you ready for it?
  42. 42. Copyright Projecting Success 2021 www.projectingsuccess.co.uk 24 June 2021 Martin Paver CEO Projecting Success martinpaver@projectingsuccess.co.uk https://www.linkedin.com/in/martin-paver-51288423/ Project Data Academy https://bit.ly/3gPXzyL

APM webinar sponsored by the South East branch on 7 September 2021. Host: Marius Vermaak The guest speakers for this webinar are: Dan Hare Luis Lattuf-Flores Martin Paver As the use of data becomes more embedded in the project environment, it will demand a greater level of data competency from project professionals and their organisations. During this lunch-time webinar, we will look to explore how the use of data in the project environment impacts the way we work. We will talk to industry experts from various sectors, to help us better understand how investment in upskilling and systems can ensure future project success. We will look to identify the key benefits of these two elements of a project. https://youtu.be/tZ0D5bHyYOk https://www.apm.org.uk/news/data-competency-better-skills-or-better-systems-webinar/

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