Getinge’s digital transformation shows scaling and adapting in equal measure

The IT organization is also works to improve the quality and management of data to better utilize their many sources in order to become a more data-driven organization. There’s been good progress but, admittedly, there’s still a lot of work to do, says Nilsson, since it’s difficult to take ownership in a large organization and streamline data management.

There is measurable progress, however, as data from the company’s connected products are collected in its own platform, where customers have access to information via a portal.

“In the long run, we envisage new services such as being able to handle predictive maintenance based on what we know about the products,” he says.

Access to data

Over the past two years, Getinge has migrated its legacy BI solutions to a modern Power BI environment to make it easier for end users to access the data they need.

The company is also applying machine learning (ML) to gather information from various public sources that can be used internally for market and product analysis. In the future, there are opportunities to make information even more easily accessible by allowing users to search for information directly from a data warehouse instead of going through traditional BI tools.

Another example of how Getinge has used ML is an application made in response to the 2020 pandemic — and mostly used in Germany — where a map showed the number of infected people in a specific area, and where Getinge’s applicable products were sold so they could be moved from one hospital to another where they were needed most.