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Project Controls Procedures in Construction

What Are Project Controls Procedures in Construction & Who Needs Them? Let’s talk about procedures, more specifically project controls procedures for construction. Research shows that only 34% of completed projects are achieving their time, cost, and quality objectives, so why is this? One reason is that project management teams are not investing the time and

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5 Tips to Effectively Benchmark your Project

How to effectively benchmark your project Project benchmarking in construction and infrastructure management is widely regarded as a key practice to drive superior project performance. However, if it was simple to implement and perform successfully, then project failure wouldn’t exist. By benchmarking project quality management, projects can understand its performance against other projects whether this

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6 Steps to Making a Digital Transformation in the Construction Industry

Digital transformation in the construction industry has vast potential to improve productivity and efficiency. To understand more about what this means, read our previous blog here. So what are the next steps for transitioning into the digital age in the construction industry? This article explores 6 steps that can be taken to ensure a smooth

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What Does Digital Transformation Mean in the Construction Industry?

Digital transformation in the construction industry is essentially the use of digital technology to solve problems. It is a challenging, ongoing process that has vast potential to improve productivity and efficiency. It involves the combination of digital technology with cultural and organisational change. This will change processes into something considerably safer, more efficient and more

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What organisational changes are required to maximise the use of big data within project controls?

The fourth in the series of blogs for the MPA series where we explore Big Data in major projects. Information management and data analysis need to be embedded as core functions within programmes and organisations for project controls functions to be ready for big data.  This is not just the selection and implementation of software

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