CHANNEL METRICS
cod. 1005207

Academic year 2022/23
2° year of course - Second semester
Professor
Davide PELLEGRINI
Academic discipline
Economia e gestione delle imprese (SECS-P/08)
Field
Aziendale
Type of training activity
Characterising
37 hours
of face-to-face activities
5 credits
hub: PARMA
course unit
in ITALIAN

Integrated course unit module: E-COMMERCE AND CHANNEL ANALYTICS

Learning objectives


a. Knowledge and understanding
At the end of the course, the student will have acquired specialized skills in the field of consumer and trade marketing performance control. In particular, students will develop advanced knowledge on:
- The income statement of the supply chain;
- The breakdown of market shares;
- the correlation between sell in and d sell out indicators;
- analysis of trade marketing costs;
- the kpi of the category management;
- retailers' cost centers;
- customer account accounting;
- the performances of communication;
- the kpi of the promo;
- the pricing kpi
- the econometric challenge

These results in terms of knowledge and understanding will be achieved through the combined use of lectures and simulations.

b. Ability to apply knowledge and understanding
At the end of the course students will have a complete vision of performance measurement problems and will be able to develop advanced skills in applied comprehension, analytical skills and problem solving with particular reference to the topic of performance control in distribution channels. The ability to apply the acquired knowledge can be achieved through the critical reflection on the texts proposed for individual study, but also through the study of specific case studies and the performance of group work.





c. Making judgments
At the end of the course the student will be able to use the analytical tools acquired in the field of analysis and interpretation in order to develop and sustain their own independent judgment. This will be expressed through the ability to develop an individual process of reflection on the data collected and to articulate a processing / interpretation of the same in terms of both quality and quantity. Students will then be able to make strategic decisions and identify operational solutions, even in conditions of uncertainty, with respect to the various performance control issues. The objective of autonomy of judgment will be pursued through the combined use of different teaching tools, such as the realization of simulations and their presentation / discussion in the classroom.

d. Communication skills
During the course the students will acquire adequate communication skills. In particular, students will be asked to clearly, punctually and coherently transfer to different interlocutors (both academic and business), information and concepts (including complex ones) related to specific performance control issues. At the end of group work, students will be able to transfer information in a clear and unambiguous manner to top management as well as to the company base, to stakeholders and to an audience of "non-specialists".

is. Learning skills
At the end of the course the students will have the ability to expand, update and deepen the level and variety of knowledge acquired in the classroom and studying in textbooks. More specifically, the development of such skills will lead students to adopt an approach of constant intellectual curiosity and continuous updating (even autonomously) of the information and data useful to address the problems of control of performance in a scenario of continuous evolution. This self-learning capacity will be consolidated during individual and collective study periods aimed at both the preparation of the lessons and the preparation of the final exam.

Prerequisites


no one

Course unit content


The aim of the course is to provide students with the conceptual and operational tools to measure the performance of the distribution channels of consumer products. In the first part the course is based on the deepening of accountability schemes of manufacturers and retailers. In the second part of the course we analyze the performance indicators (KPI) of consumer and trade marketing. These topics are developed with particular reference to the modern grocery distribution sector, but with constant methodological references to management control tools that can be replicated in other industries.

Full programme


The verification of learning takes place through a final written test.
The test consists of two questions of equal weight: one of a qualitative type and one of a quantitative type.
For the second the use of the calculator is required
The Lode will be given to those who show a very high level of depth in their knowledge.

-balance sheets
-sell out and sell in metrics
-price and promotion metrics
-negotiation metrics
-accountability
-direct cost
-econometric challenge

Bibliography


The algebra of Branding, Simulation Tool & Handhouts

Teaching methods


These results in terms of knowledge and understanding will be achieved through the combined use of lectures and simulations.

Assessment methods and criteria


The verification of learning takes place through a final written test.
The test consists of 15 quizes of equal weight ( 2 point each)
The time available is 30 minutes. The LODE will be obtained with an oral integration available only if the final rate is 30. In alternative during the lessons some exercises give credit points the can be summed to the final evaluation. During the exam ca be used the calculator. Votes will be published on ELLY

Other information


The recording of lecture or any other audio-video support will be available on ELLY

2030 agenda goals for sustainable development


economic sustainability

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