Schedule: 07.01.2019 - 14.02.2019
Teacher in charge (valid 01.08.2018-31.07.2020):
Contact information for the course (applies in this implementation):
Arkadia 3rd Floor
Student meetings by appointment, please email.
Assistant: Katharina Cepa
Teaching Period (valid 01.08.2018-31.07.2020):
Period III (2018-2019)
Period III (2019-2020)
Learning Outcomes (valid 01.08.2018-31.07.2020):
Knowledge and theory:
• Basic understanding of big data, cloud computing, internet of things and API ecosystems as phenomena and technologies
• Understanding and ability to analyze “digital disruption” of industries and to create realistic scenarios potential development paths
• Understand how and why digital technologies are influencing business models, networks effects, and platforms
• Basic understanding of business model design and the business models enabled by digital data
• Understanding the function of data scientists in corporations and understanding how they are typically organized and used
• Understanding how various data sources are used to answer basic business questions through analytics
• Understand the variance-based and relational perspectives to data and data visualization
• Ability to design basic the most basic data analyses to describe and improve business processes
• Ability to create simple business-relevant analyses from relational databases using Structural Query Language
• Basic understanding of application programming interfaces (APIs) and how they are used
• Basic skills in data visualization using Excel and Tableau
Content (valid 01.08.2018-31.07.2020):
The course introduces the key drivers behind on-going "digitalization" and its transformative effects on industries, companies, and management practice. We examine the changes created by digital technologies through four related themes: big data and business analytics, artificial intelligence and smart automation, changing ecosystems, and digital organization & culture. These themes, together with digital marketing and delivery channels, help understand why established leaders in many industries are being "disrupted" by new agile companies.
Details on the course content (applies in this implementation): Updated description:
The purpose of this course is to help the participants
understand the changes created by digitalization in the domain of
organizations, management, and strategy. After taking the course, the students
will be able to analyze how digital data flows can be used to optimize existing
operations and create new products and services. Students will work in teams to
analyze industry-level changes brought by digital technologies and develop
data-enabled service concepts and associated business models.
Updated learning outcomes:
The students should
develop broad basic understanding of contemporary use of data analytics,
machine learning, and big data in creation of services and products as well as
managing processes within and across organizations. The specific learning
Knowledge and theory:
of key technologies: big data, cloud computing, Internet of Things, digital
platforms, and API ecosystems.
of basic software design principles, including stacks and modularity.
and ability to analyze “digital disruption” of industries and to create
realistic scenarios potential development paths.
Understand how and
why digital technologies are influencing business models, networks effects, and
analyze and design business models enabled by digital data.
the function of data scientists and business analytics in corporations and
understanding how professionals and activities are typically organized and used.
companies leverage machine learning and data science to create smart
variance-based and relational perspectives to data and data visualization.
Basic skills in
data visualization using Tableau
analyze technology stacks and their strategic implications
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
1. Participation and contributions in the classroom (10%)
2. Group assignments, including peer evaluation (20%)
3. Individual assignments (70%)
Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation):
The details about assignments will be released
soon. Please see the schedule below for deadlines.
Individual multiple choice questions on pre-readings
Max 20 points
Individual final assignment
Max 50 points
Group assignment #1—Digital disruption of temporary work agencies.
Workload (valid 01.08.2018-31.07.2020):
Assingments (individual work) 70h
Readings & self-study videos 30h
Group assignments 30h
Total 160h (6 ECTS)
Study Material (valid 01.08.2018-31.07.2020):
Online self-study module
Details on the course materials (applies in this implementation):
See online for course readings.
Grading Scale (valid 01.08.2018-31.07.2020):
Registration for Courses (valid 01.08.2018-31.07.2020):
Details on the schedule (applies in this implementation):
Digital strategy and data-driven
Organizing with data / the data
Software technologies and business
Guest lecture, Otto Söderlund, CEO
Digital platforms and platform
Re-inventing business models and
Vierailijaluento: Heikki Koivula Director at Asiakastieto
Using data to facilitate
New strategic logics
Digital transformation as
Ethics of data-driven businesses