Project data analytics is starting to accelerate, but how are organisations implementing it. Is the answer to centralise the skills within a centre of excellence, to federate them across the business or a blended approach. Will we have dedicated teams of project analysts/data scientists or will it be embedded into everyone’s role. What types of skills do we need?
Within this panel session each panel member will give a short summary of their approach to project data analytics within their business, then we will explore:
• How do they layer the skills across the business, from superusers through to occasional users.
• How do they govern roll out of capabilities, ensuring a degree of control whilst promoting innovation.
• How are they tackling the issue of data quality, availability etc? How does a central vs federated team influence this?
• How are you managing data engineering? Is this embedded in IT or have you broken it out?
• What advice would you give to an organisation grappling with upskilling existing domain expertise vs employing 100% analysts?
• Are organisations ready for a crack team of data science ninjas or are we lacking the data?
Event organizers
London Project Data and Analytics meetup
Welcome to the Project Data and Analytics meetup. We created this meet up to share best practise on leveraging data within a project, programme and portfolio environment. We all know that data has the potential to transform how projects, programmes and portfolios are delivered, but practical implementation constraints often prevent the full value from being realised. This meetup will explore some of the challenges at the intersection of data analysis and project, programme and portfolio management and disc
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