•   Customer Analytics YL00CN96-3002 30.03.2023-18.05.2023  5 credits  (LLPRYASLI23KV) +-
    Name of lecturer(s)

    Jaani Väisänen

    Learning material and recommended literature

    Lecture and self-study material. Other materials indicated by the teacher.

    Implementation and methods of teaching

    The course has online lectures and self-study material. Students will do an assignment and exam related to the topics of the course.

    Assessment methods and criteria

    Exercise pass/fail Exam

    Language of instruction

    Finnish

    Timing

    30.03.2023 - 18.05.2023

    Enrollment date

    21.11.2022 - 15.01.2023

    Enrolment in Peppi http://peppi.lab.fi. If you need assistance, please contact the student office.

    Group(s)
    • LLPRYASLI23KV
    Unit, in charge

    Faculty of Business and Hospitality Management (LAB)

    Small group(s)
    • Verkkoluennot (Size: 0.
    • Tentti (Size: 0.
    Teacher(s)

    Jaani Väisänen

    Degree Programme(s)

    Master’s Degree Programme in Business Administration, Customer Oriented Business Development

    Unit location

    E-campus

    Virtual proportion

    5 credits

    Assessment methods

    1-5

    Alternative completion methods

    The course is completed only according to the presented model

    Practical training and working life co-operation

    It is possible to complete the course assignment, for example, at your own workplace or in your own company.

    Dates for exams and retakes

    Exam after the last lectures and exercises. Two re-examinations at separately announced times.

    Timing and attendance

    30.3.2023 - 18.5.2023. Online lectures Thu 30.3.2023, Thu 20.4.2023, Thu 11.5.2023.Online lectures are not mandatory but recommended. The lectures are scheduled at the beginning of the course, and other tasks of the course are performed on the basis of the information used in them.

    Learning environment

    Studying takes place online. Course material, information, return of assignments and exam in Moodle.

    Students use of time and workload

    The course is 5 cr = 135 hours. Contact teaching 12 hours Independent study 50 hours Exercise 50 hours Exam preparation 21 hours Exam 2 hours

    Contents

    Internal and external sources of information related to the customer experience Combining internal and external customer information from a business perspective Calculation of business key figures formed from customer data Descriptive and predictive analysis based on customer data

    Assessment criteria
    Failed (0)

    A rejected grade is given when the student has not achieved the learning objectives of the course. The student does not understand the aspects of customer analytics and is not able to show any learning outcomes related to the topic in the exam and assignments.

    Assessment criteria - level 1

    The student is able to name the company's external and internal information sources The student knows why external and internal data sources are combined The student is able to name some key figures of customer analytics The student knows what is meant by descriptive and predictive analysis based on customer data

    Assessment criteria - level 3

    The student is able to identify and find the company's external and internal information sources The student is able to combine external and internal data sources The student is able to calculate the key figures of customer analytics The student is able to implement a simple descriptive and predictive analysis based on customer data

    Assessment criteria - level 5

    The student is able to identify and find key external and internal sources of information for the company's strategy The student is able to combine external and internal information sources, creating strategically interesting new information The student is able to calculate the most important customer analytics indicators for the company's strategy and modify them as needed The student is able to implement descriptive and predictive analysis based on customer data and draw business management conclusions from them