What’s Really Driving Digital Transformation?
This article discusses some trends in digital transformation in manufacturing, specifically matching real-world data with resources and gaining control in an ever-changing world.
How to Adapt to Digital Transformation
The following will quickly review some of the technology advancing manufacturing and the drivers that are currently accelerating industries' push towards a digital future.
There are many companies talking about digital transformations, but recent events have shown that technology is still driven by traditional factors such as natural resources, population, and disease.
Predictive Data: Being Flexible and Fast
Predictive maintenance can help show when a machine needs servicing. This is done through data and has proven to be valuable. The term predictive maintenance has been around for years, and is often a relatively easy way to show an ROI for adopting new technology.
However, as enough data sets are collected there is much more that can be done with predictive abilities. Companies want to be as flexible and fast as they can to adjust to market needs.
While digital transformations can improve flexibility, to stay ahead of the change companies need technology to help predict future market demands.
Demand planning is another predictive tool companies are using to stay ahead of market needs. It could be argued that demand planning was how early societies created calendars or tracked seasons.
Image of a cobot working alongside a human using an HMI. Image used courtesy of Forbes.
One example could be using similar technology with weather data to manage supply chains of allergy medications to pharmacies. Weather data with predictive software might be able to determine when, where, and what type of allergies could hit an area.
This technology gives companies the chance to act to market needs rather than react after the demand happens.
This example is just one simple solution to matching real-world data with resources and population to create an efficient business model.
Digital transformations help industry, but companies still need to justify the cost and ROI. As many entrepreneurs and investors will ask, what problem is this solving?
To determine where, or how fast technology will be adopted shouldn’t focus on devices and solutions. Companies and investors should focus on problems. Often the larger the problem, the faster industries adopt solutions.
For example, recently COVID-19 has become one of the largest digital transformation drivers in the world. This response not only demonstrates the power of large problems, but the importance of traditional drivers such as resources, population, disease, etc.
Industry often focuses on solutions that are cost-effective or easy to integrate. However, the best solutions are not necessarily the smartest or strongest but are often ones that adjust accurately and quickest to the current environment.
These paradigm-shifting moments help us remember that It is often best to focus on the problem and to not get distracted by shiny new technology.