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PMO Labs is our way of getting attendees talking about different PMO themes together. We know that every single one of the PMO Flashmobbers has a story to share, an interesting insight from their careers that others would get a great benefit from. In this PMO Lab, part of the session held at Parliament UK, we continued to look at the insights thrown up from the latest Inside PMO report on KPIs, Metrics and Measures.
In this lab, we looked at data. To gain the data needed to provide the measures and metrics results, well clear, consistent and well-maintained data is at the heart of it. In the report, the advice for those starting out in devising metrics and measures for the PMO is to start with this. If you can work towards getting good data first, all the other parts of KPIs, metrics and measures will become easier.
Let's have a look at the outcomes:
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If you’re anything like me, you’ll be fascinated by all the talk about project data analytics and what can be achieved with data science. You’re probably feeling slightly overwhelmed with it all too – data models; analysis, visualisation – gosh where to start?!
In March, the PMO Flashmob Mini-Masterclass was all about Project Data Analytics. Presented by Martin Paver, pretty much the go-to guy for data analytics in a project context, we got 90 minutes of a rollercoaster of a ride.
Martin gave us a really great overview of:
How data is being used in projects at the moment
The technology that drives analytics - AI, Machine Learning and Deep Learning
The foundational knowledge you need
Loads of brilliant examples of how this all works in a project environment
How to get prepared for a project data analytics - plus the pros and cons
And how project data analytics figures in our world - the PMO:
Watch the session and see the presentation from the evening - be prepared to have your socks knocked off.
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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.
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In this article, Nicole Reilly, who, to be fair is our go-to gal for anything to do with data, dashboards and tool stuff, picks up on the current trend on data analytics. If you're one of those PMO practitioners who are trying to get your head around all of this at the moment, this is the article to get you started. Here's Nicole:
Trends published for 2019 confirm that better data analytics and reporting is a hot topic; PMO Flashmob posted their trends and in this article from Daniel Newman on Top 10 Digital Transformation Trends For 2019 it's number five on the list.
I’ve posted before about my belief that PMOs haven’t quite got to grips with maximising the value of data and providing business insight. So over the Christmas break I’ve spent some time thinking about some top tips I can offer, given my background in business analysis and continued interest in the topic.
Back in late 2017 the Project Data Analytics community launched with the intention of exploring and sharing how to leverage big data, machine learning and AI within a project, programme and portfolio environment - with one of the key questions being how can we move from lagging to leading indicators that ultimately improve project delivery outcomes?
Throughout 2018 audiences at the monthly events in London have regularly been in excess of 100 attendees, clearly demonstrating the level of interest around the topic from both data scientists and project professionals.
Why do so many people show up to the monthly community meet-ups, when there are a wealth of books or free resources available on the web? I believe the answer is fairly simple – we want to connect, and to hear the stories; we want to know who, what, how, where and when the challenges faced were overcome; and we want to meet others who are on the same journey and are willing to share their experiences with us.
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