Is Project:Hack for the PMO Practitioner?
Been hearing a lot about Project Data Analytics recently? Yes us too! It’s one of those things we see every so often in PMO (portfolio management, benefits, Agile have been just some of them over the years) which (a) we need to know about because it’s part of our job to know everything about project delivery (b) it has the potential to be disruptive, a big game-changer for the PMO.
We’ve been looking to the leaders in this field to help educate us. Martin Paver and the team at Project Data Analytics Meetup have been brilliant at helping us understand – inviting us in and allowing us to ask daft questions until we can start to make sense of it. Some of the things we’ve seen really is mind-blowing.
We had the pleasure of having Martin speak to PMO Flashmob a few weeks ago and until that session is ready to share, we wanted to tell you about a recent weekend we sponsored that Martin runs a few times a year.
Project:Hack It was a first for us – no idea what to expect and even feeling nervous and slightly out of our depths. We had a few familar PMO Flashmobber faces there (thanks for sharing your insights Ken!) and we wanted to share a few insights to give you a sense of what happened. The next event comes up at the end of June and we’d really like to get more PMO practitioners there so we can work together over a weekend.
- This was a two-day event held over the weekend of Sat 23Feb19 and Sun 24Feb19
- It was held in the Microsoft Reactor, near Finsbury Square in London
- About 50% of the attendees came from a Data or Programming background, and about 50% from a project management or business background (split about 50:50)
- There were about 100 people in all, and people were grouped together based on a problem they would like to solve.
Although these were never explicitly stated, the event seemed to have several parallel aims:
- Provide some basic education on data analysis techniques (e.g. Intro to PowerBI MasterClass)
- Do something cool with data (as a way of demonstrating to industry that when they share their data, they get some interesting results)
- Build a network
- Share the wider message to your social media and contacts.
At the beginning of the weekend there were about 15 different problems for people to think about and then decide to work on one of the problems in small groups. Each group (ideally) needed a data geek, programming geek and someone from a business background.
The idea is that by the end of the weekend the teams have something to share that demonstrates how the problem can be solved.
Here’s an example of one of the problem statements, with some nifty advertising going on 🙂 The data for all the problems that need solving have been provided in advance and is easily accessible – they’re using mainly Azure and Python on the day.
Once we had formed groups to work on a challenge, as a non-data person, for the most part I felt surplus to requirements
That observation is one of the main reasons why PMO practitioners are feeling relunctant to get involved with events like this, however:
My value came in asking the stupid questions that no-one else had thought of (or was prepared to ask) and coming up with hypotheses to test. Not all of these were good, but most came from me.
And that is exactly it – we need to be there to ask the questions from a business and project point of view!
The data scientists can’t work in isolation and neither can we – we have to form working groups where people are playing to their strengths.
Throughout the two days there were little pockets of learning going on with ‘Masterclasses’. This was groups of people listening to different expert balanced on bean bags around the screen.
Our feedback is that we need more of these. For the business and project focused people who are not hacking away at the keyboard – leave that to the people who can – there has to be other things going on to keep us engaged. Sure you can spend some time watching these guys but not for the whole weekend.
We want a group of PMO people to attend the next one so we can also work together on looking at our own challenges with data
We can make this happen if we work together, imagine that, a whole weekend of collaboration and learning together – that’s the cheapest training you’ve ever been on that’s for sure. Details on the next one here.
At the end of the weekend the teams were competing for prizes. Each team presented their work to the rest of the audience. Here’s just one of the presentations – just pause it to see more details:
There were four themes across all the sessions:
We need more data
We need better data
We need more time
We need more skills
All of these will continue to be challenges as the area of project data analytics progresses – and that’s what makes an emerging field exciting, fascinating, bewildering as it all gets worked out.
And it needs us – the PMO community to be in there working out the solutions.
Not all the groups succeeded in creating a viable solution but you know what they say about failure! There’s still lots of learning – a huge amount really if we are to really take advantage of what data science has to offer.
It feels very bleeding edge and that’s not for everyone – but if you are an early adopter, make sure you come along to the next one. Let us know if you are in the comments below – or contact us and we’ll start a Whatsapp group leading up to the weekend so we can get to know each other.
If you’re feeling a bit out of the loop with it all, you might want to come along to the Introduction to Project Data Analytics for PMO Practitioners which takes place before the PMO Conference this year. That’s a great place to start before attending the next Project:Hack on the 29th and 30th June.
From the Day
An early start for me on a Saturday!