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MARIA FERNANDA TORRES ROJAS

En este curso, conoceremos los conceptos básicos y esenciales que se deben tener en cuenta para utilizar el modelo e implementarlo en una organización o compañía.

Además, a lo largo del material de estudio encontraremos 3 niveles: básico, intermedio y avanzado y a su vez dentro de estos 3 niveles tendremos 3 categorías, logística, mercadeo y alimentos alergenos. Podremos ver el alcance, necesidades y beneficios del Global Data Model, también, conoceremos el piloto desarrollado en Latinoamérica.

Read more

En este curso, conoceremos los conceptos básicos y esenciales que se deben tener en cuenta para utilizar el modelo e implementarlo en una organización o compañía.

Además, a lo largo del material de estudio encontraremos 3 niveles: básico, intermedio y avanzado y a su vez dentro de estos 3 niveles tendremos 3 categorías, logística, mercadeo y alimentos alergenos. Podremos ver el alcance, necesidades y beneficios del Global Data Model, también, conoceremos el piloto desarrollado en Latinoamérica.

What you'll learn

  • Comprender la importancia del estándar GDM para generar mayor eficiencia operacional en su organización.
  • Identificar la estructura y conceptos de los campos del modelo local para la adopción e implementación en su organización.
  • Conocer buenas prácticas logísticas para la transferencia de información entre sus socios a través del estándar GDM.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Enseña a utilizar el modelo de datos global para mejorar la eficiencia operativa en las organizaciones
Proporciona una estructura clara y conceptos para la implementación del modelo en las organizaciones
Incluye buenas prácticas logísticas para la transferencia de información entre socios comerciales

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Reviews summary

Modelo global de datos: visión esencial gs1

Según los estudiantes, este curso ofrece una excelente y completa introducción al Modelo Global de Datos (GDM) del estándar GS1, siendo fundamental para profesionales en logística y cadena de suministro. La mayoría valora su estructura clara y bien organizada por niveles y categorías como logística, mercadeo y alimentos alérgenos, destacando la aplicabilidad directa de los conceptos para la eficiencia operacional. Si bien proporciona una sólida base teórica, algunos alumnos con experiencia deseaban más ejemplos prácticos o guías de implementación técnica, y mencionan que el contenido de marketing es algo básico. Se sugiere también la actualización periódica del material para reflejar las últimas tendencias.
Muy relevante para profesionales en logística y cadena de suministro.
"Realmente valioso para profesionales de la cadena de suministro. La explicación del GDM es exhaustiva y su relación con la eficiencia operacional es clave."
"Un curso fundamental para entender el estándar GS1 y su aplicación. La información es precisa y los objetivos de aprendizaje se cumplen."
"Encuentro que los conocimientos adquiridos son directamente aplicables a mis funciones profesionales, especialmente en el área de logística."
Explicaciones muy claras y contenido bien organizado.
"Excelente curso. Los conceptos están muy bien explicados y se pueden aplicar directamente en mi trabajo en logística."
"Impresionante. El curso es muy completo y abarca todos los niveles... La estructura por categorías... es muy útil."
"La información es de alta calidad y el curso está muy bien estructurado, lo que me facilitó mucho el aprendizaje del modelo GS1."
La sección de marketing es percibida como básica.
"La parte de marketing es un poco básica para mi nivel."
"El módulo de marketing podría ser más robusto."
"Considero que la sección dedicada al mercadeo no profundiza lo suficiente para profesionales con cierta experiencia."
Sugerencias de mantener el material al día con las últimas tendencias.
"Me pareció que la actualización del material podría ser beneficiosa en ciertas áreas para reflejar las últimas tendencias."
"Me gustaría ver actualizaciones periódicas de contenido para mantenerlo al día con las últimas evoluciones del estándar."
"Sería útil contar con revisiones periódicas del contenido para asegurar que refleje las últimas novedades del sector."
Ofrece una sólida base teórica pero carece de profundidad práctica.
"No cumplió mis expectativas en cuanto a profundidad técnica. Se queda muy en lo conceptual y no hay suficiente guía para la aplicación directa en sistemas."
"Me hubiera gustado ver más ejemplos prácticos o estudios de caso reales en la sección avanzada, aunque las explicaciones teóricas son sólidas."
"Me hubiera gustado que el curso se enfocara más en el 'cómo hacer' y menos en el 'qué es', para una aplicación más inmediata en mi trabajo."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Modelo Global de Datos para identificar productos (Estándar GS1) with these activities:
Review logistic management basics
Familiarize yourself with the concepts of logistics and logistic management, which will help you better comprehend the concepts taught in the course.
Browse courses on Logistics
Show steps
  • Research different types of logistic systems
  • Understand the role of technology in logistics
  • Review the principles of inventory management
Join a study group
Collaborate with other students in the course to discuss concepts, share insights, and clarify doubts.
Show steps
  • Find other students interested in forming a study group
  • Set regular meeting times and discuss topics
  • Review and clarify concepts together
Create a flowchart to illustrate the data flow within the GDM
Reinforce your understanding of the GDM by visually representing the flow of data within the model.
Browse courses on Data Flow
Show steps
  • Identify the key data points and their relationships
  • Develop a diagram using a flowchart tool
  • Review and refine the flowchart
One other activity
Expand to see all activities and additional details
Show all four activities
Volunteer as a logistics assistant
Gain real-world experience in logistics by volunteering at an organization that uses the GDM.
Browse courses on Logistics
Show steps
  • Identify organizations that utilize the GDM
  • Contact the organizations and inquire about volunteer opportunities
  • Assist with logistics tasks and observe the practical applications of the GDM

Career center

Learners who complete Modelo Global de Datos para identificar productos (Estándar GS1) will develop knowledge and skills that may be useful to these careers:
Product Manager
A Product Manager is responsible for the development and delivery of products that meet customer needs. They work with cross-functional teams to ensure that products are designed, built, and marketed effectively. This course can help you develop the skills and knowledge you need to become a successful Product Manager. You will learn about the Global Data Model (GDM), a standardized way of identifying products that can help you improve efficiency and accuracy in your product development process.
Supply Chain Manager
A Supply Chain Manager is responsible for planning, implementing, and managing the movement of goods and services from suppliers to customers. They work with cross-functional teams to ensure that products are delivered to the right place, at the right time, and at the right cost. This course can help you develop the skills and knowledge you need to become a successful Supply Chain Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve efficiency and accuracy in your supply chain management process.
Logistics Manager
A Logistics Manager is responsible for planning, implementing, and managing the movement of goods. They work with cross-functional teams to ensure that products are transported from suppliers to customers in a timely and cost-effective manner. This course can help you develop the skills and knowledge you need to become a successful Logistics Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve efficiency and accuracy in your logistics management process.
Marketing Manager
A Marketing Manager is responsible for planning, implementing, and managing marketing campaigns. They work with cross-functional teams to ensure that products are marketed to the right target audience, at the right time, and at the right price. This course can help you develop the skills and knowledge you need to become a successful Marketing Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve efficiency and accuracy in your marketing campaigns.
Sales Manager
A Sales Manager is responsible for planning, implementing, and managing sales teams. They work with cross-functional teams to ensure that products are sold to the right customers, at the right time, and at the right price. This course can help you develop the skills and knowledge you need to become a successful Sales Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve efficiency and accuracy in your sales process.
Operations Manager
An Operations Manager is responsible for planning, implementing, and managing the day-to-day operations of a business. They work with cross-functional teams to ensure that products and services are delivered to customers in a timely and cost-effective manner. This course can help you develop the skills and knowledge you need to become a successful Operations Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve efficiency and accuracy in your operations management process.
Data Analyst
A Data Analyst is responsible for collecting, analyzing, and interpreting data to provide insights to businesses. They work with cross-functional teams to identify trends, patterns, and opportunities that can help businesses improve their operations. This course can help you develop the skills and knowledge you need to become a successful Data Analyst. You will learn about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your data analysis.
Business Analyst
A Business Analyst is responsible for analyzing business processes and systems to identify opportunities for improvement. They work with cross-functional teams to develop and implement solutions that can help businesses improve their efficiency and effectiveness. This course can help you develop the skills and knowledge you need to become a successful Business Analyst. You will learn about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your business analysis.
Quality Assurance Manager
A Quality Assurance Manager is responsible for planning, implementing, and managing quality assurance processes. They work with cross-functional teams to ensure that products and services meet customer requirements. This course can help you develop the skills and knowledge you need to become a successful Quality Assurance Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your quality assurance processes.
Inventory Manager
An Inventory Manager is responsible for planning, implementing, and managing inventory levels. They work with cross-functional teams to ensure that products are available to customers when they need them. This course can help you develop the skills and knowledge you need to become a successful Inventory Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your inventory management.
Procurement Manager
A Procurement Manager is responsible for planning, implementing, and managing the procurement of goods and services. They work with cross-functional teams to ensure that products and services are purchased at the right price, at the right time, and from the right suppliers. This course can help you develop the skills and knowledge you need to become a successful Procurement Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your procurement process.
Customer Service Manager
A Customer Service Manager is responsible for planning, implementing, and managing customer service operations. They work with cross-functional teams to ensure that customers receive timely and effective support. This course can help you develop the skills and knowledge you need to become a successful Customer Service Manager. You will learn about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your customer service processes.
Project Manager
A Project Manager is responsible for planning, implementing, and managing projects. They work with cross-functional teams to ensure that projects are completed on time, on budget, and within scope. This course may be useful for you if you want to learn more about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your project management process.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to provide insights to businesses. They work with cross-functional teams to identify trends, patterns, and opportunities that can help businesses improve their financial performance. This course may be useful for you if you want to learn more about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your financial analysis.
Information Technology Manager
An Information Technology Manager is responsible for planning, implementing, and managing information technology systems. They work with cross-functional teams to ensure that IT systems are reliable, secure, and efficient. This course may be useful for you if you want to learn more about the GDM, a standardized way of identifying products that can help you improve the accuracy and efficiency of your IT systems management.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Modelo Global de Datos para identificar productos (Estándar GS1).
Would provide foundational knowledge of database systems, which will be essential in understanding the technical characteristics and capabilities of GDM.
Would offer learners a practical approach to business intelligence and data warehousing, including data standardization techniques, which will enhance their understanding of GDM implementation.
Classic guide to dimensional modeling, which key technique for designing data warehouses. It provides a step-by-step guide to creating dimensional models, and covers a wide range of topics, including data modeling, data warehousing, and data integration.
Would serve as a useful reference for advanced learners who want to explore the advanced applications and technical aspects of data management. They can build on their foundational knowledge from this course and delve deeper with this book.
Would provide a simplified, easy-to-understand introduction to master data management, which would help learners approach the more specific and technical concepts in the GDM course.
Would serve as a background reader to provide learners with a basic understanding of data quality, which will be essential in understanding the principles behind GDM.
Provides a comprehensive guide to data quality, which key factor in ensuring the success of any data-driven initiative. It covers a wide range of topics, including data quality assessment, data quality improvement, and data quality management.
Provides a comprehensive guide to machine learning, which key technique in data science. It covers a wide range of topics, including machine learning algorithms, machine learning tools, and machine learning applications.
Provides a comprehensive guide to deep learning, which key technique in artificial intelligence. It covers a wide range of topics, including deep learning algorithms, deep learning tools, and deep learning applications.

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