Advances in technology and the proliferation of connected devices allow capturing and processing of prolific amounts of data about internal operations and the external world. This creates tremendous new business potential, even in traditional sectors. But what should leaders do to discover and unlock this potential? The Certificate in Data and Analytics program focuses on what leaders need to know to lead the creation of significant growth and new business. It centers on the unfolding paradigm of the data imperative and covers the core technologies and management principles needed to strive and grow business.
The Certificate in Data and Analytics program is aimed at company leaders who want to understand how data and analytics can help them lead the identification and growth of new business opportunities. It goes beyond the traditional approach of increasing the skills that an individual data analyst needs and incremental improvement of business. Instead, the program provides an advanced executive level understanding of the unfolding paradigm and technologies and methods related to data and analytics. Building on this understanding, participants learn through business frameworks, case examples, project work, and other tools how to discover, grow, and lead new kinds of business, and how to transform the old.
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The program goes beyond the traditional approach of increasing the skills that an individual data analyst needs. Instead, it provides an advanced executive level understanding of the nature and role of data and analytics and the tools used with them to create and grow business.
The program includes both the key technological and technical aspects and the key business aspects that a leader needs to know when developing and building a data and analytics intensive business.
As part of the program, participants undertake a project where they put to work what they have learned and create a plan to grow a new business or transform an existing one. They can freely select the topic, guided individually by the program faculty.
After the program you will better understand data and analytics related methods and technology. Further, understanding the unfolding paradigm will allow you to make sense of things and connect the dots. This, combined with the other frameworks you learn, will allow you to discover and exploit new opportunities and improve and increase your business. In addition to improving your business acumen to discover and drive growth, your ability to communicate with others will increase – whether with your own team, stakeholders, vendors, or customers. You will be able to ask better questions and make better suggestions and decisions about business-critical matters.
Ideal for top management, especially CEOs, CIO's, Business Area Leaders, New Business Development Leaders, and others who are keen on growing their business. Particularly suitable for growth-oriented companies. No technology background required.
Contents and Schedule
The Certificate in Data and Analytics program centers on the unfolding paradigm of the data imperative and covers the core technologies and management principles needed to strive and grow within it. It covers the essentials of data and analysis, followed by an advanced data and analysis section tailored for executives.
Participants will learn to understand key technologies, how these technologies are interconnected, and the potential implications of developments on these technologies. Building on this understanding, participants learn through business frameworks, case examples, and other tools, how to discover, grow, and lead new kinds of business, and how to transform the old.
The program takes an executive perspective, highlighting the aspects that are most important from a strategic and company decision-making perspective. The program comprises lectures, case examples, group work, discussion, and a project.
Henri Schildt is a tenured professor with a joint appointment at the Aalto University School of Business (Management & Organizations) and the School of Science’s Department of Industrial Engineering and Management.
His research interests span technology strategy, organizational change, and strategy process (with specific interest in reasoning under uncertainty and the use of data analytics). He is currently heading two research programmes on data-driven management and the management of digitalization in Finnish manufacturing companies. Henri Schildt completed his PhD at Helsinki University of Technology in 2007.
Kimmo Karhu is an Assistant Professor, at Aalto University Department of Industrial Engineering and Management.
Karhu is an expert on platform business models and a seasoned teacher on digital strategy. By combining hands-on industry experience with academic thinking, he seeks to explain how AI, machine learning, and other technologies can be leveraged for scaling platform business. Karhu's recent doctoral thesis analyses open platform strategizing and digital tactics in mobile ecosystems.
Dr. Marko Turpeinen is an Adjunct Professor at Aalto University. He is also founder and CEO of a recently established data sharing company called 1001 Lakes.
He was previously the Finnish Node Director of EIT Digital, a Knowledge an Innovation Community of the European Institute of Innovation and Technology and Professor in Media Technology at The Royal Institute of Technology (KTH) in Stockholm. He has extensive industrial experience from the media industry, as between 1996 and 2005 he worked in various executive positions at Alma Media Corporation, a Finnish media company.
His current academic research addresses issues in customized media content, human-centric approach to personal data, and the role of AI and algorithmic power in networked society. He has a Doctor of Technology Degree in Computer Science from Helsinki University of Technology (now Aalto University) and a Master of Science Degree in Media Arts and Sciences from Massachusetts Institute of Technology (MIT).
Pauliina Ilmonen is Associate Professor in Statistics at Aalto University School of Science, Department of Mathematics and Systems Analysis.
Ilmonen has over a decade of teaching experience from various universities. She teaches several Bachelor’s and Master’s level courses at Aalto University, and she is the responsible teacher of a minor in Statistics. She is known for her ability to discuss complicated matters in an understandable way. Pauliina Ilmonen is the chair of the Finnish Statistical Society, and she belongs to the European Regional Committee of Bernoulli Society. She loves statistics and she participates actively in public discussions related to statistics.
In her research work, Pauliina Ilmonen focuses on topics in the field of mathematical statistics. Her research group’s most significant research topics are multivariate extreme value theory, invariant coordinate selection (ICS), independent component analysis (ICA), functional data analysis (FDA), change point analysis, and analysis stationary processes. Also pure mathematics is close to Pauliina’s heart. Her research group’s interest there lies on characteristics of meet and join (hyper)matrices. In addition to deriving theoretical results, her group is working on applied topics related to cancer epidemiology and the epidemiology of viruses. Doing applied work enables to contribute to research that may have significant public health implications.