Analytical methods for tracking customer portrait: intelligent interpretation of CRM philosophy
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00062300" target="_blank" >RIV/00216224:14330/12:00062300 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.mitcoe.ac.in/downloads/01_notice/FDPIntelligentSystems.pdf" target="_blank" >http://www.mitcoe.ac.in/downloads/01_notice/FDPIntelligentSystems.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analytical methods for tracking customer portrait: intelligent interpretation of CRM philosophy
Popis výsledku v původním jazyce
Analytical methods for tracking customer portrait: intelligent interpretation of CRM philosophy (tutorial): We explore the problem of filling the gap of knowledge existing in the enterprises- how to relate the available information about customer to thedesired outcome, expressed in financial terms, such as turnover, profitability, or optimal ordering quantities. The enterprises implement the Customer Relationship Management (CRM) systems in order to improve their performance based on understanding andtracking their customer records. However the important source of inefficiency of CRM systems emanates from ability to select analytic methods of data mining, statistical analysis and forecasting of time series methods, also computational intelligence analysis which can only partially provide some insights about the customer behavior, segmentation or loyalty measurement tasks.
Název v anglickém jazyce
Analytical methods for tracking customer portrait: intelligent interpretation of CRM philosophy
Popis výsledku anglicky
Analytical methods for tracking customer portrait: intelligent interpretation of CRM philosophy (tutorial): We explore the problem of filling the gap of knowledge existing in the enterprises- how to relate the available information about customer to thedesired outcome, expressed in financial terms, such as turnover, profitability, or optimal ordering quantities. The enterprises implement the Customer Relationship Management (CRM) systems in order to improve their performance based on understanding andtracking their customer records. However the important source of inefficiency of CRM systems emanates from ability to select analytic methods of data mining, statistical analysis and forecasting of time series methods, also computational intelligence analysis which can only partially provide some insights about the customer behavior, segmentation or loyalty measurement tasks.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/LA09016" target="_blank" >LA09016: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2012
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů