Improving the Impact of Big Data Analytics Projects With Benefits Dependency Networks

Maria Hoffmann Jensen*, Peter Axel Nielsen, John Stouby Persson


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Big data analytics is regarded as the next frontier in creating digital opportunities for businesses. Analytics projects rarely deliver the intended benefits for the organisation that invest in these data analytics, and currently, no widely accepted design method for analytics projects exists. To ad-dress this, we report from an action research project in an organisation highly involved with big data analytics and how benefits materialize from these projects through the practices of tailored and focused benefits management. We argue for using the benefits dependency network for or-chestrating commitment to benefits. Benefits dependency networks create linkages between analyt-ics technology, organisational change activities, stakeholders’ interests and to-be benefits of a project. With this study, we contribute with: (1) a tailored technique for benefits dependency net-works, (2) focus on benefits into established project development practices for big data analytics (3) facilitation as a key capability in developing a benefits dependency network.
TitelTwelfth Scandinavian Conference oif Information Systems
StatusUdgivet - 2021