CRM AND CUSTOMER ANALYTICS
cod. 1007544

Academic year 2021/22
2° year of course - First semester
Professor
Marco IEVA
Academic discipline
Economia e gestione delle imprese (SECS-P/08)
Field
Aziendale
Type of training activity
Characterising
35 hours
of face-to-face activities
5 credits
hub: PARMA
course unit
in ENGLISH

Integrated course unit module: LOYALTY MARKETING AND CRM

Learning objectives

At the end of the course, students will hopefully gain the following skills:
• Understanding of the theoretical framework of CRM
• Understanding of CRM strategies
• Ability to think analytically and develop basic and advanced analyses
• Ability to master CRM metrics and CRM statistical methods
• Working experience with real data
• Understanding of recent issues in CRM
• Improvement of teamwork and communications skills and development of a deadline orientation
• Ability to work under stress conditions

Prerequisites

Knowledge of the English language at the B1 level is required.

Course unit content

The course is divided into four main parts.
The first part includes the foundations of CRM and the strategic vision of CRM. In this part the students will learn customer relationship management strategies. This necessitates a theoretical understanding of the customer relationship management process and implementation.
The second part is largely focused on Analytical CRM. Analytical CRM will be studied with a deep practical approach, by:
- Gaining an understanding of marketing metrics and models useful to analyse the customer base
- Identifying key analytical issues and solution to develop a successful relationship with customers
- Training students in the application of descriptive and predictive analytics by using Excel and SPSS
The third part focuses specifically on customer segmentation techniques mostly employed in CRM.

The fourth part focuses specifically on future issues in CRM. This part of the course will deal with prospect issues in CRM such as Consumer Privacy Concern, Omnichannel Customer Experience Management and Social Media Analytics.

Full programme

Please contact the teacher if you need further information on the detailed course program.

Bibliography

For attending students:
Ziliani and Ieva (2019) “Loyalty Management. From Loyalty Programs to Omnichannel Customer Experiences”, Routledge, chapters 6 and 10:
Course slides.

For non-attending students:
Ziliani and Ieva (2019) “Loyalty Management. From Loyalty Programs to Omnichannel Customer Experiences”, Routledge, chapters 6 and 10:
Reinartz and Kumar (2018) “Customer Relationship Management Concept, Strategy, and Tools”, Springer, chapters from 2 to 7 and chapters 14 and 15.

Teaching methods

Knowledge of the English language at the B1 level is required.
"Frontal" lectures and recaps, class assignments, case reading (at home) and subsequent discussion in online class (streaming), managerial online lectures, practical work (at home) on video and written materials. Finally, students will have the chance to take part in a business game. Participation in the Business Game could lead to bonus points for the exam. More information on the business game will be available at the beginning of the module. Non-attending students will also find audio-video-materials as a support to the books indicated above.

Assessment methods and criteria

For the first semester exams will be written, unless there is the need for further modifications due to the pandemic. Please refer to the specific instructions for the Exam that the Professor will publish on the course Elly
page for instructions on enrollment, ID uploading, and so on. Through the students' responses to open questions, knowledge and understanding of the issues proposed and the ability of the student to apply the knowledge to specific questions are assessed during the exam. Students will be allowed to exercise significant independent judgment with respect to what is required and we can check the communication skills of the student.

Other information

Please check professor's webpage for updates on course, exams, dates and times, office hours and so on.

2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.economia@unipr.it
T. +39 0521 902377

Quality assurance office

Education manager:
Mrs Maria Cristina Tamani
T. +39 0521 032454
Office E. didattica.sea@unipr.it
Manager E. mariacristina.tamani@unipr.it 

President of the degree course

prof. Cristina Ziliani
E. cristina.ziliani@unipr.it

Faculty advisor

prof. Silvia Bellini
E. silvia.bellini@unipr.it

Carrer guidance delegate

prof. Chiari Panari
E. chiara.panari@unipr.it

Tutor Professor

prof. Silvia Bellini
E. silvia.bellini@unipr.it

Erasmus delegates

prof. Maria Cecilia Mancini
E. mariacecilia.mancini@unipr.it 
prof. Donata Tania Vergura
E. donatatania.vergura@unipr.it

Quality assurance manager

prof. Silvia Bellini
E. silvia.bellini@unipr.it

Internships

E. tirocini@unipr.it

Tutor student

dott. Anna Boncompagni

E. anna.boncompagni@unipr.it 

dott. Sofia Laudani

E. sofia.laudani@unipr.it