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Exploring the intersection of strategic management and sustainable development: a bibliometric network analysis
(2019)
The focus of this thesis is an analysis of the state of integration and underlying connections between strategic management and sustainable development. The primary research problem is the inherent logical contradictions ...
Predicting the customer churn with machine learning methods : case: private insurance customer data
(2019)
Customer churn prediction is a field that uses machine learning to predict whether a customer is going to leave the company or not. The goal of this thesis is to study the churn prediction field and apply the knowledge in ...
Data quality methodologies and improvement in a data warehousing environment with financial data
(2019)
The goal of this thesis is to understand what is needed to successfully use a data quality methodology and give improvement suggestions with the given restrictions. The restrictions in this work are:
• it can be used ...
Digital signature: adoption, technology, costs & benefits
(2019)
Nowadays in our globalized world business partners can be on the opposite sides of the globe. Through the development of technology, the location is losing its importance as working remotely becomes increasingly popular. ...
Predicting short-term traffic speed : a model assessment using spatiotemporal variables
The focus of the thesis is to examine different machine learning models’ ability to predict short-term traffic speed. An autoregressive model, ARIMA model, Linear Regression, K-Nearest Neighbor and Extreme Gradient Boosted ...
Deep reinforcement learning in portfolio management : policy gradient method for S&P-500 stock selection
(2019)
Tämän maisterintutkielman tavoitteena on tutkia syvän vahvistusoppimisen (deep reinforcement learning, DRL) soveltuvuutta salkunhoitoon S&P500-indeksin osakkeista koostuvan osakeportfolion riskikorjatun tuoton parantamiseksi. ...
Tietojohtaminen Maasotakoulussa : nykytila ja kehittämismahdollisuudet
(2019)
Yhä tietokeskeisemmäksi ja verkottuneemmaksi muuttuvassa yhteiskunnassamme on tietojohtamisesta kehittynyt menetelmä, jolla tuetaan liiketoiminnan toteutusta, kasvua ja kilpailukykyä. Tiedosta ja siihen pohjautuvasta ...
Insurance claim risk scoring with machine learning algorithms: A case study on developing a predictive system for assessing corporate customers' claim risk
(2018)
Predictive learning algorithms offer tools to automate and improve insurance risk management. The aim of this thesis is to study classification algorithms in risk scoring applications and to evaluate them in the creation ...
Situation status between descriptive and predictive analytics in decision making
(2018)
Statistical mathematics has received new hype words, like machine learning, advanced analytics and predictive analytics. Descriptive analytics has decades been in help and support of decision making in business environment. ...
Aligning business strategy with business analytics to create value for the firm
(2019)
The purpose of this qualitative study was to determine how contemporary companies can align their business analytics (strategy) with their business strategy to create value and what kinds of aspects need to be considered ...