Essays about: "Data-driven analysis"

Showing result 1 - 5 of 254 essays containing the words Data-driven analysis.

1. 1. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon

   University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Author : Azin Farzam; [2024]
   Keywords : Shifting Peak Load; Electricity Reduction; Measuring Peak Load; Electricity Efficiency; Building Management System; Electricity Consumption.;

   Abstract : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. READ MORE

3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : Alexander Florean; [2024]
   Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE

4. 3. Circular economy of spare parts and data-driven analytics - “Unlocking Sustainable Value: Analyzing Buyback Policy Circularity Performance in Volvo Group’s Reverse Supply Chain - A Renault Trucks Case Study”

   University essay from Göteborgs universitet/Graduate School

   Author : Vladyslav Zahladko; [2023-07-20]
   Keywords : closed-loop supply chain; reverse logistics; buyback policy; circular economy; performance measurement; supply chain analytics;

   Abstract : To address the current environmental challenges, companies are steadily shifting from a linear to a circular model in their daily operations. This process implies supplementing the traditional forward logistics with a reverse flow, enabling the reuse, remanufacturing, and recycling of existing products. READ MORE

5. 4. The Controversial Interface between Competition and Data Protection Law - An Analysis of Privacy Concerns in the context of Merger Control

   University essay from Lunds universitet/Institutionen för handelsrätt

   Author : Cristina Timofti; [2023]
   Keywords : Competition Law; GDPR; Personal Data; Privacy; Data Protection Law; Digital Markets Act; Law and Political Science;

   Abstract : In the digital market, data has become an invaluable asset that businesses strive to achieve. Since most of the data acquired is personal data, current legal and academic debates have begun to investigate whether and how privacy is addressed within the context of merger control. READ MORE

6. 5. Data Democratisation in the Realm of Digital Transformation : Organisational Approach towards Data Democratisation

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Jobin Jose; [2023]
   Keywords : Data Democratisation; Data Democratization; Data Democratisation and Digital Transformation;

   Abstract : The thesis shed light into the connectivity between the Organization and Employees in terms of their acceptance and contribution towards Digital Transformation initiatives through the different elements of Data Democratisation. The study identifies Six key elements of Data Democratisation and how these elements are incorporated to successfully steer Digital Transformation in the organization. READ MORE