Decisions from Data: Driving an Organisation with Analytics
This course helps strategic management professionals understand the data science possibilities, to enhance the awareness as consumers and to communicate with the data scientists in an efficient way.
Why Decisions from Data?
According to the 2012 World Economic Forum, data is the new oil. Analytics and data science, particularly the Big Data available from sensors and web interactions, are increasingly critical for productivity gains and strategic competitive advantage. Practitioners in these fields typically come from computer science or statistics, and have years of technical training, but no systematic training or experience in business management problems. On the other hand, strategic management professionals have experience with management problems and could potentially benefit from a deeper understanding of data science potential.
Data science at work aims to help bridging this gap. With a three-day intensive overview on data science possibilities, visualized outcomes and scenarios, this course helps helps strategic management professionals understand the data science possibilities, to enhance the awareness as consumers and to communicate with the data scientists in an efficient way.
We will introduce successful big data and analytics projects, ask the participants to imagine the data-driven questions of which they seek solutions, and let them reflect on their own organizations’ data science opportunities. Through lectures, real-world cases and a final analysis, the course introduces data science and analytics for both the public and private sector.
The participants will leave the course with a thorough understanding in how to communicate with technical partners (e.g., data science and business intelligence teams), be able to contribute to data-driven strategy development, and learn about ways in which data can inform critical decisions.
After completing the program, students will understand strategic management applications of data science. Students will leave the course better able to communicate with technical partners (e.g., data science and business intelligence teams), better able to contribute to data-driven strategy development, and more knowledgeable about ways in which data can inform critical decisions.
We will introduce concepts and intuitions underlying data science, all of which we contextualize in strategy applications. We will introduce examples of strategic problems through which data science offered otherwise elusive insight. We will also offer a workshop where students will specify real strategic management projects that could be passed to an internal IT team for execution.
WHO SHOULD ATTEND?
The course is intended for professionals who want to understand the potential and the requirements and process of data analysis, whether they currently work with data scientists, manage data science projects, invest in data science, or must act on data-driven knowledge already or have not yet done that. We particularly encourage employers that are expanding data-driven capabilities to use this course as a universally accessible introduction to data-driven strategy for existing employees.
Espen Andersen is an Associate Professor in the Department of Strategy and Entrepreneurship. He has done research on topics such as technology- and digital business strategy and digitization, and is also a frequent and popular speaker, both in Norway and internationally, on technology and management topics.
John Chandler Johnson is an Assistant Professor in the Department of Strategy and Entrepreneurship. His research uses computer simulation to study knowledge propagation emergent in social network dynamics. He has 15 years of industry experience, mostly in operations research and consulting, including managing a startup in Beijing.
Alessandra Luzzi is an Associate Professor in the Department of Strategy and Entrepreneurship. Her research interests focus on innovation strategy, entrepreneurship and firm growth. Before joining BI, Alessandra was an Assistant Professor in the Business Department at Carlos III University in Madrid, and she received her PhD in Economics and Management from the Sant'Anna School of Advanced Studies in Pisa, Italy.
Please don’t hesitate to contact us if you have any questions or would like further information about our Executive Programmes.
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Telephone: +47 464 10 255 - E-mail: email@example.com