Productization of Vehicle Generated Data

Problem context
In the world of digitalization, data has become an increasingly important product and asset in modern companies. Although there are effective ways of handling tangible products (software and/or hardware) in place, we need to keep building knowledge and experience on how to handle data as a product. This generates several issues impacting data consumers and data quality. Put together, these issues put great limitation on the potential value that can be created by the data asset. Especially in the automotive industry where the amount of available data is rapidly increasing, it’s key to have effective ways of handling vehicle generated data.


In Volvo, we are a Vehicle Data group that work with documentation, as well as governance of usage of vehicle data. This covers a small piece of the whole “data product” lifecycle. We would like to have your support to get the picture of full vehicle data lifecycle within Volvo and bring up proposals for improvement.

Description of thesis work
The goal of this thesis work is to
Map the current lifecycle of Vehicle Data within Volvo, e.g. development / verification / readout / maintenance / usage / decommission
Identify major pain points in tooling or process
Propose and design solutions to close some of the main gaps

The work may include (examples):
Create understanding of the current data management practices by interviewing various stakeholders such as data development teams, data consumers, tool chain departments etc.
Collecting information, such as issues / requirements / suggestions from stakeholders
Investigate various solutions for improvement, including but not limited to processes, tools, organization, forum etc.

Educational background
Information Technology, Computer Science, Industrial Engineering and Management or similar


Thesis Level:
Master

Language:
English

Starting date:
Q4 2022/Q1 2023

Number of students:
1-2

Tutor
Antonio Kasljevic, System Design Engineer, antonio.kasljevic@volvo.com,