Automated collection, processing, analysis and visualisation of sustainability data throughout the value chain

Important results from the project

* Denna text är maskinöversatt * The goal of the project was to develop an automated solution for collection, processing and analysis of sustainability data through customers´ value chain and verify the solution with customers. The goal is well met for the upstream value chain. For the value chain downstream, the goal is partially fulfilled, but as the extent of the need downstream was partly unknown, more variants of data processing arose during the course of the project than initially scoped. This has led to the project being continued to be able to fulfill the goal fully also downstream.

Expected long term effects

*Denna text är maskinöversatt* The project has shown good results for the upstream value chain. The technology leads to better data collection with saved time, increased quality and increase data knowledge as results. This, in turn, results in increased understanding of the sustainability impact in the value chain and the opportunity to make better, data-driven decisions to drive sustainability work forward. This effect is expected to increase as the data collection cycles become shorter. For the value chain downstream, the goal is partially met and is being further developed.

Approach and implementation

* Denna text är maskinöversatt * It was important to work close to the customer in order to prioritize correctly in complex project development. In the initial project planning, the most common data types for which the technology would be developed as well as the end goal were therefore defined in dialogue with existing customers and also discussed with potential customers. Customers gave feedback on wireframes to ensure that the product covered the needs in parallel with the data architecture being defined & tested on a small scale. The product was then built and tested with customer data.