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Data-Driven Decision-MakingLaajuus (5 cr)

Code: DL2303

Credits

5 op

Objective

To equip students with understanding and methods of decision-making in the business and leadership context. Identify, analyze, and evaluate an organizations internal and external data in order to facilitate a more robust decision-making process. To provide approaches to both deal-with and benefit-from using data. To introduce Excel tools used for the purpose of both predictive and prescriptive analysis.

Content

• Decision- making based on quantitative data
• The added value of data and data analysis
• An organization or company's information flow: market, business, customers, macro flows
• How to gather, validate, describe, analyze, and interpret data
• Descriptive, predictive and prescriptive decision models

Qualifications

Data analytics

Materials

Business Analytics: Communicating with numbers. Jaggia et. al., McGraw-Hill (2021)
Material from course Moodle page

Enrollment

02.12.2023 - 22.01.2024

Timing

01.01.2024 - 10.03.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Teaching languages
  • Finnish
Teachers
  • Mats Braskén
  • Ray Pörn

Objective

To equip students with understanding and methods of decision-making in the business and leadership context. Identify, analyze, and evaluate an organizations internal and external data in order to facilitate a more robust decision-making process. To provide approaches to both deal-with and benefit-from using data. To introduce Excel tools used for the purpose of both predictive and prescriptive analysis.

Content

• Decision- making based on quantitative data
• The added value of data and data analysis
• An organization or company's information flow: market, business, customers, macro flows
• How to gather, validate, describe, analyze, and interpret data
• Descriptive, predictive and prescriptive decision models

Evaluation scale

H-5

Qualifications

Data analytics