Data-driven SalesLaajuus (5 cr)

Course unit code: NN00FB60

General information

Credits: 5 cr

Teaching language: English

Responsible person: Pia Hautamäki

Objectives

Sales has changed based on customer behavior, digitalization and global business. Digitalization changes every business and data brings more opportunities to the future of businesses and to the decision making.

After the course student know how digitalization is changing the world of doing business, sales and marketing and how to use data in sales and marketing. Students have new methods and technologies to do sales on a more effective way. As a part of this course students are able to increase their critical thinking on how to do sales and marketing today.

Content

During the course students are able to consider the role of data, insight and analytics in demanding sales work. Students are also able to understand better how AI is influencing to the future of sales and what are the new ways to do sales already today and in the future. All these new ways bring also more opportunities for sales and marketing professionals to make decisions based on data.

Relevant questions to find answers during this course are for example:
- How changed customer behavior and digitalization affect to the work of sales?
- How to do selling today?
- What kind of digital tools should be used?
- How does data and AI impact on future sales and marketing?

This course will be held in close collaboration with company representatives and the learning is based on literature, lessons and assignments.

Join course Data-Driven Sales and win the game in the future!

Prerequisites

Assessment criteria, satisfactory (1-2)

The student can name how data is used in sales context. He/she knows how to gather sales data. He/she is aware of how artificial intelligence is used in sales. The student can make general decisions based on sales data.

The student meet the minimum course objectives. He/she participate in the contact lessons. The student complete the course assignments on a satisfactory level. The student's performance indicate that he/she meet the minimum requirements set in the curriculum of the course.

Assessment criteria, good (3-4)

The student is familiar with using data in sales context. He/she knows how to gather, analyze and interpret sales data. He/she is aware of how artificial intelligence is used in sales. The student can make decisions based on sales data.

The student meet the course objectives. He/she participate in the contact lessons. The student complete the course assignments. The student's performance indicate that he/she meet the requirements set in the curriculum of the course.

Assessment criteria, excellent (5)

The student is highly competent in using data in sales context. He/she possess a comprehensive understanding of gathering, analyzing and interpreting sales data. He/she is familiar with the application of artificial intelligence in sales. The student can make meaningful decisions for the company based on sales data.

The student meet the course objectives sovereignly. He/she successfully participate in the contact lessons. The student complete the course assignments on a distinguished level. The student's performance indicate that he/she has outstandingly fulfilling all the requirements set in the curriculum of the course.