Quality for Business
Project Status: Set-up
Start Date: July 2015
End Date: December 2017
Budget (total): 7705 K€
Effort: 77.7 PY
Name: Martin Varela
Company: VTT Technical Research Centre of Finland, ltd.
VTT Technical Research Centre of Finland Ltd., Finland
University of Vienna, Austria
Business intelligence system solutions (BISS), Croatia
University of Zagreb, Croatia
Netplaza Oy, Finland
Elisa Corporation, Finland
Vaadin Ltd., Finland
Accanto Systems Oy, Finland
AALTO University, Finland
National and Kapodistrian University of Athens, Greece
Acreo AB, Sweden
Alkit Communications, Sweden
BTH – Blekinge Institute of Technology, Sweden
Ericsson Telekomunikasyon A.S., Turkey
The Q-Biz project will focus on the applications of our current (and ever-expanding) understanding of Quality of Experience (QoE) for improving business offerings. The work will not dwell on the theoretical and technical aspects of QoE, but rather dive into its applications and exploit existing foundational results in order to do so.
The work will be guided by existing business scenarios relevant to different partners, thus gathering requirements from real use cases, and providing novel technical and business solutions ready for production usage, while at the same time developing management tools, Service Level Agreement schemes,, new business models, economic models and best practices aimed at effectively using QoE data to improve business.
Q-Biz will build extensively upon existing results, in particular those produced by the CELTIC QuEEN project. These results provide a solid conceptual and practical framework for QoE, including both theoretical and operational models for QoE, as well as a standardized, flexible software infrastructure adequate for monitoring and exploiting it. Q-Biz will use these results as scaffolding for developing new technological enablers, business models, and enhancing existing ones, by exploiting QoE information.
The main goals of the project are to:
- create and develop new business models for online services that benefit from QoE data.
- help service providers satisfy their customers’ expectations regarding service quality, thus decreasing churn
- give service providers new ways of differentiating their offerings by means of better quality
- allow service providers to optimize their operational expenses without sacrificing service quality
- create business prediction tools (such as economic models) and best practices that allow service providers to optimise value creation and delivery by means of quality management
- help service providers understand and predict their customers’ spending patterns and how this relates to QoE
- create QoE management tools and contractual schemes that allow realising and optimising the above economic targets.