Essays about: "sales Models"
Showing result 6 - 10 of 239 essays containing the words sales Models.
-
6. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. READ MORE
-
7. Enhancing Interfunctional Coordination in B2B Companies: The Strategic Potential of Digital Tools : A qualitative study on how digitalization can be used as a strategic driver to enhance interfunctional coordination and improve customer orientation in B2B.
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : In an ever-evolving digital landscape, the way we do business changes rapidly. In this landscape, B2B companies are confronted with challenges that demand adaptation and reevaluation of their business models, such as exploring innovative approaches to resource utilization and streamlining workflows. READ MORE
-
8. Fair NFTs evaluation based on historical sales, market data and NFTs metadata
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Blockchain technology is rapidly growing and with it, the opportunities it brings. Non-fungible tokens (NFTs) are a type of token that represents unique data that can be owned and traded on a blockchain. READ MORE
-
9. Applying unprocessed companydata to time series forecasting : An investigative pilot study
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Demand forecasting for sales is a widely researched topic that is essential for a business to prepare for market changes and increase profits. Existing research primarily focus on data that is more suitable for machine learning applications compared to the data accessible to companies lacking prior machine learning experience. READ MORE
-
10. Portfolio Risk Modelling in Venture Debt
University essay from KTH/Matematisk statistikAbstract : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. READ MORE