Digital transformation: Customer insight matters
13 June 2018
It’s easy to get obsessed with technology – it is the key enabler of the fourth industrial revolution. The harder part of the transformation is cultural, according to Colin Masson at Microsoft. Here, he explains how modern technology will harness big data to deliver customer-first manufacturing
It’s about putting the customer experience and their business outcomes at the centre of everything. That means realigning engineering, manufacturing and the supply chain around delivering a world-class sales and service experience. It means new thinking about optimising customer satisfaction and loyalty metrics such as Customer Satisfaction Scores or Net Promoter Scores rather than production efficiency.
The list of technologies that can help this realignment is endless. Manufacturers should be investing in, or at least exploring, the internet of things (IoT) and industrial automation, cloud, big data, artificial intelligence (AI), robotics, 3D printing and more. Microsoft partner Columbus recently published a major industry report exploring how these emerging technologies fit into the wider digital transformation push of manufacturers, as part of a ‘Manufacturing 2020’ strategy.
Fundamentally, the fourth industrial revolution is being powered by the ubiquity of IoT data coming from sensors in the factory combining with data pouring in from the outside world, such as the wealth of information being generated by smart cities, smart buildings, smart offices and even connected cars. Choosing an IoT platform is a big decision; start by identifying one that can match the scale of your ambitions.
Driving business transformation
There is another convergence that is driving business transformation. Inside the firm, the digital technologies used by IT, operations and engineering are converging. By embracing the digital transformation, manufacturers are empowering employees to be more productive in modern workplaces with apps and intelligent working methods such as the use of cobots, where employees and robots co-operate 'shoulder to shoulder'.
We see manufacturers, and individual businesses within manufacturing organisations, at various stages in their journey to servitisation, transforming products into services. Some are driving more customer engagement through traditional call centres or differentiating their product through (sometimes IoT-connected) field service. Increasingly, though, we are also seeing the transition to full 'product-as-a-service', where they sell flying hours instead of jet engines; car coatings rather than paint; water savings rather than treatment plants; and cleaning services rather than cleaning chemicals.
Manufacturers need smart factories, intelligent shop floor solutions and business apps that augment people and address the growing skills gap in manufacturing. IoT platforms are a key enabler, yes. But we also need big data and AI on top to provide the insights that line workers and business decision-makers need. We need both intelligent cloud and intelligent edge technologies to power robots and cobots in the factory of the future.
Big data also needs big compute to accelerate the product innovation unleashed by enhanced insights into customers, enabled by the ability to iterate through digital twins of devices, product designs, supply chains, and customer usage in digital cities. Can your legacy ERP, CRM, PLM and SCM systems keep up with the new speed of business?
At the heart of this digital world, however, lies the simplicity of customer insight. Whether you’ve got a smart product that can beam back data on customer use, or you use traditional client engagement channels, it’s those insights that will differentiate your future products and services and decide the success – or failure – of your digital transformation.
Colin Masson is global industry director of manufacturing solutions at Microsoft. He has been a strategic advisor to major automation vendors such as Invensys and Rockwell Automation.