Бизнес на основе данных

2025/2026

Статус: Маго-лего

Кто читает: Департамент образовательных программ

Когда читается: 3 модуль

Охват аудитории: для всех кампусов НИУ ВШЭ

Язык: английский

Abstract

Course is focused on understanding added value and business architecture of modern solutions utilizing different data sets. Within the course topics focused on cloud technologies, data storages and data transmission will be observed in order to familiarize students with technological aspects of business based on data. Consultancy cases will be analyzed with key risks and decisions made for data processing and data storage architecture design.

Learning Objectives

Equip students with knowledge about business using data: risks and opportunities

Expected Learning Outcomes

To understand different data storage techniques
To understand different risks and how to mitigate risks connected with data collection, transmission, storage and processing
To understand different opportunities for new business models based on data utilization

Course Contents

Digital Transformation, Phygital Transformation, and Future Prospective
Introduction to Data, Information, and Knowledge
Key Data Storage Schemes
How Data Influence Business Models and Why Net Neutrality Should Be Considered
Cloud Technologies and Business Cases
Personal Data Protection Based on Context

Assessment Elements

Project-proposal presentation
In-Class activity
This course requires a high level of motivation and active class participation. This is not simply a lecture attendance, it is ENGAGEMENT and PARTICIPATION in the lectures, with deep preparation, timely and relevant comments and discussion, comments linked to the previous lectures, personal experience or other courses; opinion based on evidence, thinking, responding to the lecturer’s questions.
Written exam
The exam is taken in a written format based on a selection of open-ended questions offline or online with proctoring (start exam platform).

Interim Assessment

2025/2026 3rd module
0.21 * In-Class activity + 0.29 * Project-proposal presentation + 0.5 * Written exam

Bibliography

Recommended Core Bibliography

Data science for business : what you need to know about data mining and data-analytic thinking, Provost, F., 2013
Malthouse, E. C., & SAS Institute. (2013). Segmentation and Lifetime Value Models Using SAS. Cary, N.C.: SAS Institute. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=607170
Osondu, O. (2021). A First Course in Artificial Intelligence. Bentham Science Publishers Ltd.
Segmentation and lifetime value models : Using SAS, Malthouse, E. C., 2013
Van Alstyne Marshall, & Parker Geoffrey. (2017). Platform Business: From Resources to Relationships. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.9A77A504
Zott Christoph, & Amit Raphael. (2017). Business Model Innovation: How to Create Value in a Digital World. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.66E8A105

Recommended Additional Bibliography

Competing on analytics: the new science of winning, Davenport, T.H., 2007

Authors

Komarov Mikhail Mikhailovich
Зинченко Екатерина Андреевна

Course Syllabus