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Churn Prediction in SaaS using Machine Learning
(2019)
Diplomityö
Diplomityö
Customer churn happens in the Software-as-a-Service business similarly as it is in subscription-based industries like the telecommunications industry. But companies lack the knowledge about the factors lead to customers ...
Utilizing data integration models in data integrations
(2019)
Diplomityö
Diplomityö
Data integration is a process that enables communication between different systems. Many data integration project fails due to not understanding the business objectives and technical requirements. Data integration modeling ...
Intelligent automation - Assessing artificial intelligence capabilities potential to complement robotic process automation
(2019)
Diplomityö
Diplomityö
The aim of this study was to find out how artificial intelligence capabilities could complement robotic process automation when automating business processes. The purpose of this thesis was to find out what robotic process ...
Requirements for the analytical process of demand forecasting
(2019)
Diplomityö
Diplomityö
Analytics can be viewed from various perspectives such as set of technologies, tools or processes. Building organizations analytical capabilities should be started from basics rather than pursuing unrealistic high-end ...
Improving takt production's management of subcontracted labour through the methods of knowledge management
(2019)
Diplomityö
Diplomityö
Construction, as an industry, has not been able to improve its productivity as fast as other industries. Therefore, construction industry has begun to examine other methods that could improve the productivity. One new ...
A Model-based study on Finnish electrified vehicle market
(2019)
Diplomityö
Diplomityö
Electrified vehicles are facing challenges in diffusion as they are not just being introduced to the vehicle market as a new alternative, but instead they are trying to replace a market incumbent with the same purpose, ...
Developing a Product Master Data Management Process
(2019)
Diplomityö
Diplomityö
Master data has caused issues in organizations for decades. Previously these have been addressed through new IS acquisitions. However, data is still not paid enough attention to, so the issues have continued. MDM was created ...