Decisions From Data: Driving an Organisation With Analytics

BI Norwegian Business School

What are the topics?

BI Norwegian Business School

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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.

About the course

According to the 2012 World Economic Forum, “data is the new oil”. Analytics and data science, particularly of 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 strategic management professionals understand data science possibilities with the goal of making them better data science consumers and better able to communicate with data scientists.

We will introduce students to successful big data and analytics projects, ask the students to imagine the data-driven questions they would want answered, and let them reflect on their own organizations’ data science opportunities. That way, they would go back aware of what can be done with data science.

Through lectures, real-world cases and a final workshop, the course introduces data science and analytics for public, private, and non-profit strategic management applications.

LEARNING OBJECTIVES

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.

Experts

Espen Andersen

BIOGRAPHY Espen Andersen is Associate Professor with the Department of Strategy at BI Norwegian Business School (www.bi.no). Based in Oslo, Norway, he has done research on topics such as technology strategy, mobile business, electronic commerce, knowledge management, learning technologies, digit...

Alessandra Luzzi

I am an Associate Professor in Strategy and Entrepreneurship at BI. My research interests focus on Innovation strategy, Entrepreneurship, Firm growth and the effects of Financial constraints for innovative firms. My research papers have been published in Entrepreneurship Theory and Practice, Org...

John Chandler Johnson

Associate Professor - Department of Strategy and Entrepreneurship

Decisions From Data: Driving an Organisation With Analytics at BI Norwegian Business School

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

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