Data is a differentiator. Companies that can capture what customers buy, like, and use can interrogate that data to provide insights that help them stay ahead of the curve. Big data is the term given to the storage and analysis of workplace data for the purpose of creating meaningful management information.
The data from collaboration and project management tools is a subset of all this data. Real-time project analytics can add huge value to streamlining project management processes and in identifying early warning signs for projects.
Being able to parse a discussion thread from your collaboration tool and single out potential risks and issues could change the role of the project manager in the future. Furthermore, natural language searches will make it easier to include narrative discussions, meeting minutes, and more in the data analysis, saving hours of time when investigating or predicting problems. All of this data could be used to predict the future success (or otherwise) of projects.
There is already work happening in this sphere: The PMO Flashmob here in the UK held a session recently looking at the role of AI in the project office and project management domain. While I didn’t attend, they did publish some interesting Inside PMO report on the topic.
There’s also been a discussion around RPA – robotic processing automation (in other words, using algorithms to process info instead of humans – it’s not ‘real’ robots sitting at a desk next to you doing PMO work). There is a lot of scope for development in this space, freeing up knowledge workers to – you know – actually use their brains for stuff and building relationships to help get projects done.
Data presentation techniques
Allied to the big data revolution is the rise of data presentation techniques, because the trouble with all that data is that it is very difficult to understand. There is a trend toward simple, clean designs for websites and tools with high usability and a very visual impact. The growth of social media sites like Instagram and Pinterest, plus the sudden, recent spike in the number of infographics doing the rounds on sharing sites shows that users are gravitating toward images.
This is relevant to project management collaboration tools because project managers have to adapt the way they communicate to suit the needs of stakeholders. If the needs of stakeholders are evolving to include a requirement for more visuals, then project managers will need to move away from text-based project reports to a more engaging way of sharing status updates.
Visual data presentation is not new to project management—after all, that’s really what a Gantt chart is. Kanban, too, is a visual project management approach and many agile teams work with visual plans. We could well see the visual preference for presenting data manifesting itself in more tools that use images and visual workflows in conjunction with traditional Gantt charts.
This article includes a few points that were made in my PMI book: Collaboration Tools for Project Managers. Given what we’ve been going through and seeing so far this year, it felt appropriate to try to pick out some comments on tech for teams and where that might be taking us – because it seems to me that virtual working is here to stay.
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