Multiple disruptive forces are impacting global economies. Increasing market volatility, customer expectations and technology impacts are driving businesses everywhere towards a digital transformation. Initiatives to digitise machines, devices, workflows and processes are being launched under different banners such as Digital Business, the Internet of Things (IoT) and Industry 4.0. As industry commentators debate the semantics, the reality is that all such initiatives are similarly targeted at increasing automation, operational intelligence and connectedness. The endgame is to increase business agility and the flow of customer value at optimum cost.
This demanding digital agenda creates significant business challenges. At a time when many managers are struggling to process existing data volumes, new waves of big data will be arriving exponentially. In addition customer demand is more volatile than ever before, with rear-view business intelligence becoming inadequate for making decisions for an evolving business. To support this need for increased decision-making agility, predictive analytics methods, providing forward-looking business intelligence, are becoming necessary. Businesses will find it challenging to implement all these changes given the technology, financial and people integration barriers. The skills and capabilities needed to manage this scale and complexity of change are in short supply.
While companies respond by announcing plans to increase levels of device connectivity, machine intelligence, data science and analytical capabilities - successful firms do not approach these in isolation. A strategy of collecting as much data as possible, then considering how to best analyse the information to uncover customer value is flawed. Instead success is achieved through deploying techniques to unleash the power of data across end-to-end processes in ways that drive the creation and execution of new business models and customer experiences.
Predictive simulation enables smarter business models by providing better understanding of complex dynamic processes through data visualisation and insight. This level of management understanding is critical when considering radical transformation options which can incur major business risk.
Digital models enable different business scenarios to be simulated and outcomes analysed and compared before deciding on a best course of action. Having secured decision clarity in a virtual world, optimum decisions can then be passed for real-world execution.
This capability has proven to be extremely valuable for visionary companies such as BAE Systems, Transcanada, Rolls Royce and Ford. Lanner has worked with these companies to add dynamic process intelligence across the design, create and operate lifecycle. In many cases we’ve delivered predictive simulation assets that are used to generate analytics for both strategic and operational decision making.
From inception Lanner has been seen as a visionary, through our leading predictive simulation technology and for the innovative assets delivered to our ambitious customers. Our mission has been consistent - to enable smart dynamic businesses with smart dynamic processes. We’ve developed a powerful and agile capability to deliver on this mission across many different industries, having created value for every sector within which we’ve engaged.
Lanner are neither a software nor a consulting company. The capability we’ve developed is a blend of both. This is a balance that many firms will strive for as they seek to bolt on data science and analytics into business-as-usual operations. Many leading consulting firms are now looking to blend decision-support technologies into their expertise-driven business models for the same reason. Being seamlessly agile on the technology, analytics and people front will be essential for many firms in the future.
To drive greater senior-level engagement and collaboration we’ve invested in technology developments to enable us to perform this virtual world business process gamification at a fully immersive level. Firms such as Hayward Tyler have used this to support strategic business transformation and subsequent intelligent business operations management. Highly visual engagement with the end-to-end business process owners secures collaborative engagement across all stakeholders, including management, customers, investors and employees. This style of collaboration will drive the agile, adaptive business of the future.
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