Essays about: "Business model evaluation"
Showing result 1 - 5 of 275 essays containing the words Business model evaluation.
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1. Framing and supporting Sustainable Entrepreneurship : A Qualitative Study of Science Park
University essay from Jönköping University/HLK, Globala studierAbstract : This thesis investigates how Jönköping Science Park frames and supports sustainable entrepreneurship in the region. More specifically, it discusses how this Science Park implements sustainability in collaboration with entrepreneurs and start-ups. READ MORE
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2. Low-No code Platforms for Predictive Analytics
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. READ MORE
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3. 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
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4. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. READ MORE
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5. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning
University essay from Lunds universitet/Matematisk statistikAbstract : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. READ MORE