SAP business case, TEAM: SAP-iens GAVE UP Abstract: In the proposed SAP case we are challenged with maximizing the profit obtained by the sales of a particular product, by setting its price over time, and choosing whether or not to enable one of several types of offers. The data that has been collected includes past […]
The current paper examines the factors that influence the increase of the
sales volume of a retailer. The aim of the study is to create an accurate model with high explanatory
power which accounts for the promotional and competitor effects on the quantity sold as well
as to identify the main volume uplift drivers. That information could be useful when designing
marketing strategies in order to gain a competitive advantage over the other market players.
Tiny smart data modelled with a not-so-tiny smart model Introduction Metadata Business Understanding Data Understanding Data Preparation Modelling Evaluation Deployment Conclusion Metadata Case: The SAP Case – Analyze Sales Team: Chameleon Project URL: https://github.com/Bugzey/Chameleon-SAP Memebers: Stefan Panev ([email protected]), Metodi Nikolov ([email protected]), Ivan Vrategov ([email protected], Radoslav Dimitrov ([email protected]) Mentors: Alexander Efremov([email protected]) Agamemnon Baltagiannis ([email protected]) Team Toolset: […]
Datathlon 2018 entry – Hristo Piyankov
SAP Case Team Mentors: Agamemnon Baltagiannis SAP Case Team: Abderrahim Khalifa | Morocco Andrei Deusteanu ([email protected]) | Romania Julian Borisov ([email protected]) […]
Introduction Data provided consists of 3 years of weekly volume of sales, price of product in question, prices of main competitors and promotion calendar for a FCMG product. Data is provided by SAP. The task is to identify the volume uplift drivers, measure the promotional effectiveness and measure the cannibalization effect from main competitors. […]
