Leading Big Data Strategy

Course Objectives

"Information is the oil of the 21st century, and analytics is the combustion engine."

- Peter Sondergaard, Senior Vice President, Gartner Research.

As a business leader in the modern age, you will be required to make data-driven strategic decisions every day. Your organization needs to leverage data to learn about your customers and build a sustainable competitive advantage. It has become vital for business leaders to have the skills to lead the digital transformation in the organization, creating the capabilities and systems to support a data-driven culture.

In this course, students will learn how leaders can empower their teams to make analytics-based workplace decisions with real-time, actionable insights that give them full business visibility. This course aims to prepare students to become competent data-driven project leaders who can identify problems worth solving with data, gain leadership support, team buy-in, and work with external experts to achieve business objectives.

This course is intended for students who have an interest in implementing Big Data projects. In order to maximize learning, students are recommended to complete Marketing 1 and Strategy courses before taking this course. By the end of this course, students should be able to understand:

  • The technology industry environment and how to extract competitive advantage
  • The concepts and strategy of corporate technology management
  • The leadership challenges and driving teams to ensure future success
  • Project management challenges across cross-cultural, technological, and operational capabilities

 

Course Details

Programs: Full-time MBA, Part-time & Online MBA
Discipline: Special Course
Course Level: Specialized Course
Required/Elective Course: Elective Course
Number of Credits: 1.0
Report: Day 4
Hours Per Class: 3 hours
Class Capacity: 35

*Due to the characteristics of the course, application of the substitute class and leave of absence system is not available.

 

Preliminary Recommended Courses

- Marketing I
- Strategy

Also, please take a note content overlaps with the course "AI/ビッグデータのビジネスモデルと法的リスク" at Japanese MBA program ("Predicting Consumer Tastes with Big Data at Gap" at Day 4).

 

Theme/Reading Materials

Day 1
Session A
THEMEThe strategic technology industry environment 
CASEAlibaba Group: Technology, Strategy, and Sustainability
Session B
THEMEThe strategic technology industry environment (Continued)
CASEAlibaba Group: Technology, Strategy, and Sustainability
 
Day 2
Session A
THEMEThe big data organizational transformation
CASEDigitalization at Siemens 
Session B
THEMEThe big data organizational transformation (Continued)
CASEDigitalization at Siemens 
 
Day 3
Session A
THEMEThe team leadership challenges
CASEBelk: Towards Exceptional Scheduling 
Session B
THEMEThe team leadership challenges (Continued)
CASEBelk: Towards Exceptional Scheduling
 
Day 4
Session A
THEMEThe project management execution excellence
CASEBuilding IBM Watson: Not So Elementary, My Dear! (Abridged)
Session B
THEMEGroup Presentation
CASEN/A

Faculty

Meri Rosich
Meri Rosich
Specialization
Dr. Meri Rosich drives digital transformation with the strategic use of data and AI. Originally from Barcelona, she has enjoyed a global career leading technical teams for organizations such as Standard Chartered, Amex, Docomo, Samsung, Bertelsmann, and Visa.
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