DataFlow

DataFlow – Finding patterns in new data flows.

Swedish metal industry has access to huge amounts of data, from internal databases, sensors and simulations as well as from external data collected from the Web, magazines, scientific publication databases, and future reports etc. There's also the ability to connect to more informal data streams such as forums and blogs. Today, technology can collect, process and merge all this internal and external data to find patterns that previously could not be seen. So-called information fusion provides a new perspective on big data and can make significant contributions to the industry to understand their business by combining, looking at, and understanding several different data flows.

This project will show how the metal industry can use the latest digital technology and data analysis methods to transform their data flows into information flows. The project will provide companies of the innovation area with concrete examples of how a data-driven approach can develop their businesses, and make it easier for Swedish data competence to initiate projects with the industry by showing them what kinds of data streams the businesses generate.

DataFlow is a collaboration with Outokumpu Stainless AB, Jernkontoret and Advectas AB, and is funded by the Swedish Governmental Agency for Innovation Systems (VINNOVA) during April 2017–March 2018 with 1.9 million SEK, of which SAIL receives 1.5 million SEK.

Se also VINNOVA's description of the project.

Outokumpu Stainless          Jernkontoret          Advectas AB          VINNOVA

Illustration project Dataflow - picture 1

Illustration project Dataflow - picture 2

Project leader

The project in short

Fully name of project:
DataFlow – Finding Patterns in New Data Flows

Durance:
2017–2018 (2017-04-01–2018-03-31)

Financed by:
Swedish Governmental Agency for Innovation Systems (VINNOVA) through Jernkontoret

Collaborating partners/Partnership:
Outokumpu Stainless AB, Jernkontoret, Advectas AB

Researchers related to the current project

Göran Falkman, associate professor of computer science

Gunnar Mathiason
, assistant professor of computer science

Niclas Ståhl, PhD student in informatics

Zenodia Charpy, Senior Data Scientist at Advectas AB

See also