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The document analyzes the strategic alignment of Plasturgos's information systems to meet corporate and operational objectives, emphasizing data consolidation, decision-making tools, and integration with suppliers and clients in the automotive industry. Issues with the current organizational structure and technical focus of the IT department are highlighted, suggesting the creation of a Director of Information Systems role to address competency gaps, reconfigure the system, and align it with future strategic requirements. Organizational restructuring options and the need for leadership invo...

This document explores the integration and implications of digital technologies within the Quality-Safety-Environmental (QSE) function in organizations. Key themes include how QSE professionals can harness digital tools to improve performance and expand their strategic roles. The document provides a dual perspective: examining the digital transformation of QSE practices and the contributions of QSE to broader organizational digitalization initiatives. Case studies, expert insights, and best practices demonstrate how technologies like AI, big data, and collaborative platforms can support tra...

This organic law establishes the fundamental right to personal data protection as guaranteed by the constitution, promoting transparency, fairness, and human dignity. It applies to both automated and non-automated data processing carried out by natural or legal persons, excluding personal or family use. It mandates responsible data handling, secure and lawful processing, and prohibits misuse or discrimination linked to sensitive data categories such as race, health, and religious beliefs. Additionally, it establishes requirements for declarations and authorizations to the National Data Prot...

This document explores the concept of clean energy, focusing on its definition, benefits, and implementation. It highlights sustainable sources such as solar, wind, marine, geothermal, and biomass energy. A detailed investigation of photovoltaic (solar) technology demonstrates its ability to produce electricity efficiently and its adoption potential, especially in regions like Tunisia, which boasts exceptional solar resources. Additionally, the presentation underscores the importance of collaboration between citizens and energy providers, suggesting paths toward energy self-sufficiency.

The document discusses the development of a forecasting application to predict production quantities in Tunisia. Several forecasting methods, including moving average, simple exponential smoothing, and double and triple exponential smoothing, were tested. The triple exponential smoothing method was deemed the most effective based on a Root Mean Square Error (RMSE) analysis. Tools such as Pandas, NumPy, and Matplotlib were used for data handling and visualization, leading to the confirmation and application of the triple exponential smoothing model for better accuracy in forecasting.