Essays about: "Data-driven organizations"
Showing result 1 - 5 of 52 essays containing the words Data-driven organizations.
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1. Business Intelligence and Analytics – a key driver for efficient production? : An empirical study in the food industry
University essay from Karlstads universitetAbstract : Organizational decisions are significant to an organizations' future. Research shows that many organizations tend to make decisions based on previous experiences, ‘gut feeling’ and assumptions rather than facts. This is troubling since decision-makers leave the organization’s future to the hands of chance. READ MORE
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2. Impacts of Participatory Design on Data Driven Decision Making in Organisations
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis explores the impacts of applying participatory design (PD) to data-driven decision-making (DDDM) in organisations. Despite the extensive examination of PD and DDDM individually, there is a noticeable research gap in understanding their integration and their impact on decision-making processes in organisations. READ MORE
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3. 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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4. Data-Driven Decision-Making In Small Organizations : A qualitative study in optimizing BI deployment in Vasaloppet
University essay from Karlstads universitet/Handelshögskolan (from 2013)Abstract : Organizations are social systems established to make decisions. Modern organizational decision-making is complex and can easily overwhelm the capacity of individuals. Because of the complexity of multi-person decisions, there is a big risk for uncertainty in decision-making. READ MORE
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5. Extraction of Global Features for enhancing Machine Learning Performance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. READ MORE