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Price and promotion optimization for FCMG

Posted 5 CommentsPosted in Learn, Prediction systems, Team solutions
6
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   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. […]

Datathon Instructions

Posted Posted in The DSS team
5
votes

Datathon Participants Instructions   Dear participants, we highly appreciate your participation in Datathon 2018 as a challengers and we are sure that your contribution will make for another great Datathon. Please, see the participant instructions for the Dathaton 2018. During the event your task would be to develop a data based solution to a chosen […]

ACADEMIA DATATHON CASE: THE A.I. CRYPTO TRADER

Posted Posted in Datathon cases
5
votes

You must be a registered user for the #AcademiaDatathon to see this content.
In an attempt to make a case which is to be somewhat universally understandable by various types of students, the case is financial time-series prediction, while making it more engaging with the hot topic of cryptocurrencies. The case integrates knowledge from various sources – Crypto Currencies, Quantitative Finance and Machine learning. At the same time, the case is stratified as the teams solving it could complete various levels – as far as they could solve it.

Datathon Jury Results

Posted 1 CommentPosted in The DSS team
3
votes

SEMI – FINAL GROUPS The teams were assigned in groups of 3-4 (working on the same case, same domain and one mixed group with various cases). Every group gets to be judged by one mentor, one domain expert (from the company which provides the case) and one DSS expert. In the groups with two cases, […]

CASE SAP, TEAM 31415

Posted 3 CommentsPosted in Team solutions
2
votes

About¶ Entry: Data Science society Datathlon 2018 Case: SAP Case Dataset: available here Authors: Hristo Piyankov (hpiyankov@gmail.com) Notes: not all caclulations and graphs are carried out in python, due to time constraints Business understanding¶ Goal of the study is to udnerstand drivers behind sales up-lift with relation to the company’s own pricing strategies, promostions and […]

Manual

Posted Posted in The DSS team
1
votes

Edit your profile    Article creation and building    How to add Video How to add Formulas The processes of posting article    Interactions with other Articles Video Data Chat Guide   Edit your profile When you are already logged in take a look at your Profile. From this panel: At the Profile page there are few useful […]

Academia datathon instructions

Posted Posted in Members only, Uncategorised
1
votes

Datathon Participants Instructions   Dear participants, we highly appreciate your participation in Academia Datathon as challengers and we are sure that your contribution will make for another great Datathon. Please, see the participant instructions for the Academia Dathaton below. During the event your task would be to develop a data based solution to the presented […]

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