Civil Engineering
“74% of organisations across industries, including civil engineering, have made digital transformation a top priority”
[Statista]
With over 25 years experience of working in heavily regulated industries we can deliver the digital transformation that drives change and success.
61%
of engineering and construction companies have a moderate to high level of technology adoption
Statista
20%
of large construction projects typically overrun
McKinsey
80%
of civil engineering projects are significantly over budget
McKinsey
Our experience
We have successfully solved many challenges in this industry – here are some examples:
Legacy systems
Lack of access to Business Intelligence (BI) impacts project efficiency, decision making and productivity.
Lack of capacity
Lack of capacity and skilled resources prevent businesses from developing and innovating to meet industry demands.
Service aggregation
Disparate systems hamper the ability to deliver business efficiencies.
Lack of access to Business Intelligence (BI)
Did you know?
- Only 23% of construction and civil engineering firms use BI tools extensively. (FMI Corp)
- 77% of civil engineering projects still rely heavily on manual data, which is time-consuming and prone to errors.
- Inefficient data management caused by data stored in dispersed systems leads to fragmented, outdated, and inaccurate information
- Companies [digitising access to business intelligence] reported a 20% increase in project efficiency.
- Companies utilising BI see a 15% reduction in project costs (FMI Corp)
Lack of capacity and skilled resource
Did you know this leads to:
- Competitive disadvantage
- Less ability to innovate
- Increased costs
- Reduced productivity
Disparate systems
Did you know?
- 95% of all data captured in construction and civil engineering goes unused, primarily due to the challenges in managing data from disparate/manual systems (FMI Corp)
- 63% of project failures are attributed to poor risk management, which is exacerbated using non-integrated systems (CFMA)
- Disparate systems result in redundant processes and duplicated efforts
- Inconsistent and inaccurate data from multiple systems can lead to poor decision-making
- Data silos created by different departments using a wide range of other software and tools lead to weak communication and poor business intelligence.
Let's work together
To chat about any of these issues, contact us here
Book a no-hassle, no-commitment call today.
FAQs
Q. What is industrial digital transformation?
A. Industrial digital transformation refers to integrating digital technologies into industrial processes and manufacturing operations. It involves implementing new technology such as IoT, big data analytics, AI, and automation to optimise production processes, enhance overall efficiency and drive innovation within the sector.
Q. How does digital transformation impact industrial manufacturing?
A. Introducing digital technology into industrial manufacturing, such as automated processes, real-time data analytics, predictive maintenance, and supply chain connectivity, can offer more efficiency, less downtime, improved product quality, less waste, and faster time to market.
Q. What role does data analytics play in digital transformation for industrial manufacturing?
A. Data analytics helps manufacturers derive actionable insights from vast amounts of operational data, allowing them to optimise production processes, identify and remove inefficiencies, save on material costs, and improve overall performance.