Modeling strategies using predictive analytics : Forecasting future sales and churn management

This project was carried out for a company named Attollo, a consulting firm specialized in Business Intelligence and Corporate Performance Management. The project aims to explore a new area for Attollo, predictive analytics, which is then applied to Klarna, a client of Attollo. Attollo has a partner...

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Main Author: Aronsson, Henrik
Format: Others
Language:English
Published: KTH, Skolan för informations- och kommunikationsteknik (ICT) 2015
Subjects:
RFM
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130
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spelling ndltd-UPSALLA1-oai-DiVA.org-kth-1671302015-05-22T05:08:48ZModeling strategies using predictive analytics : Forecasting future sales and churn managementengStrategier för modelleringmedprediktiv analysAronsson, HenrikKTH, Skolan för informations- och kommunikationsteknik (ICT)2015Business IntelligencePredictive AnalyticsData miningData warehousePredictive ModelingRFMChurnThis project was carried out for a company named Attollo, a consulting firm specialized in Business Intelligence and Corporate Performance Management. The project aims to explore a new area for Attollo, predictive analytics, which is then applied to Klarna, a client of Attollo. Attollo has a partnership with IBM, which sells services for predictive analytics. The tool that this project is carried out with, is a software from IBM: SPSS Modeler. Five different examples are given of what and how the predictive work that was carried out at Klarna consisted of. From these examples, the different predictive models' functionality are described. The result of this project demonstrates, by using predictive analytics, how predictive models can be created. The conclusion is that predictive analytics enables companies to understand their customers better and hence make better decisions. Detta projekt har utforts tillsammans med ett foretag som heter Attollo, en konsultfirma som ar specialiserade inom Business Intelligence & Coporate Performance Management. Projektet grundar sig pa att Attollo ville utforska ett nytt omrade, prediktiv analys, som sedan applicerades pa Klarna, en kund till Attollo. Attollo har ett partnerskap med IBM, som saljer tjanster for prediktiv analys. Verktyget som detta projekt utforts med, ar en mjukvara fran IBM: SPSS Modeler. Fem olika exempel beskriver det prediktiva arbetet som utfordes vid Klarna. Fran dessa exempel beskrivs ocksa de olika prediktiva modellernas funktionalitet. Resultatet av detta projekt visar hur man genom prediktiv analys kan skapa prediktiva modeller. Slutsatsen ar att prediktiv analys ger foretag storre mojlighet att forsta sina kunder och darav kunna gora battre beslut. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130TRITA-ICT-EX ; 2015:5application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Business Intelligence
Predictive Analytics
Data mining
Data warehouse
Predictive Modeling
RFM
Churn
spellingShingle Business Intelligence
Predictive Analytics
Data mining
Data warehouse
Predictive Modeling
RFM
Churn
Aronsson, Henrik
Modeling strategies using predictive analytics : Forecasting future sales and churn management
description This project was carried out for a company named Attollo, a consulting firm specialized in Business Intelligence and Corporate Performance Management. The project aims to explore a new area for Attollo, predictive analytics, which is then applied to Klarna, a client of Attollo. Attollo has a partnership with IBM, which sells services for predictive analytics. The tool that this project is carried out with, is a software from IBM: SPSS Modeler. Five different examples are given of what and how the predictive work that was carried out at Klarna consisted of. From these examples, the different predictive models' functionality are described. The result of this project demonstrates, by using predictive analytics, how predictive models can be created. The conclusion is that predictive analytics enables companies to understand their customers better and hence make better decisions. === Detta projekt har utforts tillsammans med ett foretag som heter Attollo, en konsultfirma som ar specialiserade inom Business Intelligence & Coporate Performance Management. Projektet grundar sig pa att Attollo ville utforska ett nytt omrade, prediktiv analys, som sedan applicerades pa Klarna, en kund till Attollo. Attollo har ett partnerskap med IBM, som saljer tjanster for prediktiv analys. Verktyget som detta projekt utforts med, ar en mjukvara fran IBM: SPSS Modeler. Fem olika exempel beskriver det prediktiva arbetet som utfordes vid Klarna. Fran dessa exempel beskrivs ocksa de olika prediktiva modellernas funktionalitet. Resultatet av detta projekt visar hur man genom prediktiv analys kan skapa prediktiva modeller. Slutsatsen ar att prediktiv analys ger foretag storre mojlighet att forsta sina kunder och darav kunna gora battre beslut.
author Aronsson, Henrik
author_facet Aronsson, Henrik
author_sort Aronsson, Henrik
title Modeling strategies using predictive analytics : Forecasting future sales and churn management
title_short Modeling strategies using predictive analytics : Forecasting future sales and churn management
title_full Modeling strategies using predictive analytics : Forecasting future sales and churn management
title_fullStr Modeling strategies using predictive analytics : Forecasting future sales and churn management
title_full_unstemmed Modeling strategies using predictive analytics : Forecasting future sales and churn management
title_sort modeling strategies using predictive analytics : forecasting future sales and churn management
publisher KTH, Skolan för informations- och kommunikationsteknik (ICT)
publishDate 2015
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167130
work_keys_str_mv AT aronssonhenrik modelingstrategiesusingpredictiveanalyticsforecastingfuturesalesandchurnmanagement
AT aronssonhenrik strategierformodelleringmedprediktivanalys
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