In modern business expecting the unexpected can be a vital survival tool. With the ability to quickly develop and assess different “what if” scenarios, it can be easier to adjust quickly and adapt to emergency situations to ensure business continues as usual.
However, reacting to change should never be the goal. Instead, you should focus on developing the ability to predict disruption before it arrives.
With access to the right data, and the right predictive simulation technology to analyse it, your organisation can gain the insights needed to identify unseen patterns and predict crises before they occur – which gives you ample opportunity to minimise disruption.
For example, companies who predicted the 2007 recession were able to reinvest at the right time to achieve rapid growth during the recovery. With the UN highlighting the possibility of another recession in 2020, there’s never been a more important time to learn to predict trends in your industry.
A recent Gartner report tells us that 67% of business leaders say their company will no longer be competitive if it can’t be significantly more digital by 2020.
Currently, as many as 66% of CEOs expect their company to change its business model by 2021, while almost half report that change is already underway.
For some, this transformation is an opportunity to reinvent themselves entirely, while others are making smaller steps and using new technologies to optimise existing operations.
Whatever your approach, advanced technologies like the Internet of Things (IoT), data analytics, Artificial Intelligence (AI) and digital twins can play a big part in helping you go from responding to change to driving change – turning insight into foresight and taking a proactive role in ensuring greater business resilience.
At Royal HaskoningDHV Digital, we invest in people, technology, and software to develop, design, and implement the solutions that support decision-making, performance management, and process optimisation.
One way we do this is by working with our clients to co-create digital twins; virtual representations of assets and operations enabled by IoT, AI, data science, machine learning and our 140 years of domain expertise.
With digital twins we help organisations of all kinds optimise the performance of their systems, processes or assets, apply predictive maintenance, simulate CapEx extension, improve real-time operations and ensure compliance.
Most importantly, digital twins help to ensure business resilience, using the combined power of engineering, data science and predictive simulation to develop the clear insights and diverse strategies that help our clients thrive in a fast-changing world.
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