Mobile-Menu

Digital Transformation The Path to a Data-Driven Company: Three Practical Examples

From Anke Geipel-Kern 4 min Reading Time

Related Vendors

AVEVA Inc.
TURCK GmbH
Pörner Ingenieurgesellschaft mbH
Italvacuum, Srl

There is a wealth of knowledge hidden in operational data. However, the utilization often fails due to the fact that the data lies decentralized and unstructured in various data silos. Standardization, contextualization, and a unified data platform are key to becoming a data-driven company. Three very different companies in the process industry demonstrate how they have approached this and what results they have achieved.

Making operational data transparently accessible for analysis – that is the goal of many companies.(Source: Deemerwha studio)
Making operational data transparently accessible for analysis – that is the goal of many companies.
(Source: Deemerwha studio)

Digitalization in the process industry certainly does not fail due to a lack of data. It's more about the fact that the data is stored on different servers, lacks context and structure, and companies have no plan on how to make the data centrally usable. Therefore, anyone wanting to digitalize and embark on the path to becoming a data-driven company cannot avoid standards and a unified data platform.

In the chemical and pharmaceutical industries, the conditions for unlocking the data treasure are generally quite good. There are vast amounts of data from sensors, automation systems, and, of course, operational data collection systems that collect, analyze, and store data in real time. The PI System, which has belonged to the software company Aveva since the acquisition of Osisoft, is widely used.

Related content