16 July 2021
Data Driven Decision Making and Change Management in Organisations
This course is designed to introduce knowledge management and strategic planning concepts into an organizational change context and to provide an in-depth focus on data-driven decision-making in various leadership functions, including strategic planning and resource allocations in various organizations and institutions. The course examines models, tools, techniques, and theory of data-driven decision- making that can improve the quality of leadership decisions through case studies. Learning activities in the course will examine how decisions and strategies are developed and how tacit or explicit knowledge can be identified, captured, structured, valued and shared for effective use. Assessment as a dynamic process in the planning cycle will be examined. Organisational leaders are tasked with making difficult decisions based solely upon incomplete, inaccurate, misleading, and subjective information. As such, this course provides an introduction to theoretical and practical applications of data-driven decision-making and planning for change agents in organisations.
Sirje Virkus is a professor of information science and the head of the study area of Information Sciences at the School of Digital Technologies of Tallinn University.
We invite both undergraduate and graduate students who are interested in data driven decision making and change management to participate.
The objective of the course is to provide students the knowledge and skills on data-driven decision making and change management in the context of e-governance.
Upon full participation and completion of an individual project.
EUR 250: Early-bird fee until March 31, 2021. Accommodation and meals are not included in the price.
EUR 300: Regular fee after March 31, 2021. Accommodation and meals are not included in the price.