Datamining and its exploitation for effective Loyalty Programs within company,s Business Model – Bc. Dalibor Hlava
Bc. Dalibor Hlava
Master's thesis
Datamining and its exploitation for effective Loyalty Programs within company,s Business Model
Datamining and its exploitation for effective Loyalty Programs within company,s Business Model
Abstract:
Hledání způsobů využití data miningu na datech nasbíraných z retailových věrnostních program mající za cíl zlepšení zisku firmy.Abstract:
Exploration of usages of data mining algorithms on data collected from retail loyalty programs with a goal of improving company’s business performance. Focus is given on market basket analysis for mining retail customer shopping patterns and leveraging these patterns in improving business results. All the individual components (loyalty program, business model and data mining) are first introduced separately …moreKeywords
loyalty program upselling cross selling loyalty positioning customer relationship management (CRM) business model capital budgeting analysis internal rate of revenue net present value sunken costs SWOT analysis data mining business intelligence big data market basket analysis association rule learning support confidence lift apriori algorithm uplift modelling
Language used: English
Date on which the thesis was submitted / produced: 6. 4. 2016
Identifier:
https://is.vsfs.cz/th/xaxv8/
Thesis defence
- Date of defence: 24. 6. 2016
- Supervisor: PhDr. Karel Eliáš, CSc.
- Reader: prof. PhDr. Petr Matějů, Ph.D.
Citation record
ISO 690-compliant citation record:
HLAVA, Dalibor. \textit{Datamining and its exploitation for effective Loyalty Programs within company,s Business Model}. Online. Master's thesis. Praha: University of Finance and Administration. 2016. Available from: https://theses.cz/id/fjk9ur/.
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Institution archiving the thesis and making it accessible: Vysoká škola finanční a správníUniversity of Finance and Administration
Master programme / field:
Economics and Management / Marketing Communication
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