Why it matters
Design tools can enable bold new structures. Data and analytics can provide a real-time picture of how projects are running,enabling swift action to resolve problems. Modeling —increasingly through mobile apps — can support more informed decisions on construction, materials and supply chain. Remote monitoring can help track faults. Automated trucks and other equipment can accelerate productivity,improve accuracy and reduce accidents.
Engineering and construction companies are ahead of owners in technology adoption. This reflects the fact that, for most owners, construction is viewed more as a business enabler than a core driver of their business.
So why has the sector not fully embraced the potential of technology? For some, the cost and risk of adopting new technologies outweighs the perceived benefits. Others may be reluctant to move out of their comfort zone.
The technologies that enable firms to be more innovative require significant investment, so it’s perhaps not surprising that smaller firms are less likely to be spending heavily in these areas. What’s more interesting is the relatively high proportion of mid-size companies (with annual turnover between US$1 billion and US$5 billion) that rank as cutting-edge. These organizations seem to acknowledge technology’s potential to bring a competitive advantage and have backed up their beliefs with sizeable investments.Being of a manageable size, they’re also able to adapt quickly to new ideas.
The survey suggests that the top drivers for innovation and disruption are:
- Efficiency, planning and cost reduction
- Competition and market forces
- New markets, growth and profitability
- Client needs, meeting demand
- Technology and talent
- Increasing regulation
- Establish strong internal controls:A system and its models are only as good as the information that goes into them; if the theory is flawed, then the modelling will be similarly defective. Before you creating modelling tools, first develop a sound basis of internal controls such as cost performance index (CPI) and schedule performance index(SPI) so that the software can enhance the process.
- Ensure your systems are related:The systems that are ‘related ‘are either connected directly or at least share common data formats. This enables, collecting data from different activities and different sources and make like-for-like comparisons. Some project managers believe in integrated cost and schedule systems,which clearly define project scope and build cost and schedule against that scope. Others may prefer two separate systems to provide a ‘stereo’ view.
- Master proven digital solutions: Before delving into new technologies, the organization should have has a full understanding of existing solutions like advanced schedule analytics, Monte Carlo simulators,computer-aided design (CAD) systems or BIM software. This helps better prepare to integrate and explore other innovations.
- Build Data & Analytics:Data and analytics is not the next big thing; it’s today’s big thing. Analysis brings a host of benefits that can transform your approach to project delivery: more precise estimating,scheduling and resource management, improved scope development, enhanced risk management & safety and increased real-time productivity analysis.Data is of little use if it’s not clean, accurate and in a common format that everyone can understand and use. This means carrying out an inventory of data to determine what’s useful and what’s not, and establishing a common taxonomy or data structure to ensure consistency.
- Develop a technology strategy:Given the accelerating pace of change and the significant investment costs its little surprise that many owners and engineering and construction executives are hesitant to plan their future technology strategy. Assess and revise/refresh the roadmap every six months to address changing business needs and economic conditions, and technology advances.

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