Calidad de Datos (GS1: Data Quality Framework) from edX

La transmisión de la información entre tus socios de negocio de tu red de valor debe estar de manera clara y sin ambigüedades, ya que permite facilitar el tránsito de los productos y la comunicación entre todos los puntos de la red.

Contar con una guía para la medición de los productos es necesario para tener el mismo idioma con los socios de negocio y así contar con la sincronización exacta de la información. Cuando un código de barras es asignado a un producto es fundamental que la descripción de este, cuente con la información detallada para que sea posible su trazabilidad y su correcto proceso comercial. Alguno de los datos que se deben incluir son; el nombre de la marca, el peso neto del producto, los materiales de embalaje y las medidas del producto.

Tener una guía de calidad de datos, no solamente te ayudará a transmitir adecuadamente la información de un producto a tus socios de negocio, si no que te permitirá tener un lenguaje global y la confianza de tus clientes y tu red de valor.

Se debe garantizar la calidad de datos de los productos mediante procesos de certificación, procesos de codificación, y auditorías que se realicen a la matrícula de los productos. En este curso, conocerás cómo los procesos pueden generar beneficios como:

Mejora en la calidad de información durante un proceso transaccional en toda la red de valor.
Optimización en las operaciones de manejo de los embalajes que se realizan en los Centros de Distribución de la Cadena y del proveedor
Reducción del impacto por situaciones presentadas con la lectura del código de barras en los puestos de pago, con mejoras en la productividad y una mayor agilidad en el servicio

What's inside

Learning objectives

Definir qué es la calidad de datos y su importancia en la red de valor.
Buenas prácticas de implementación de calidad de datos.

Conocer y entender el estándar de gs1: data quality framework, estándar global para calidad de información de productos.

Definir qué es la calidad de datos y su importancia en la red de valor.
Buenas prácticas de implementación de calidad de datos.
Conocer y entender el estándar de gs1: data quality framework, estándar global para calidad de información de productos.

Syllabus

Módulo 1

- Definición de calidad de datos

- Beneficios para la identificación de productos

- Beneficios comerciales y trazabilidad

- Importancia en la red de valor

- Quién está a cargo de garantizar la calidad de los datos

- Cifras de interés

Módulo 2

- Código de barras

- Atributos de productos

- Guía de medición artículos detallistas

- Cantidad

- Medidas de peso

- Alto, ancho y profundo

- Casos especiales: colgantes, flexibles, pliegues, cilíndricos, multipacks

- Guía de medición artículos no detallistas

Módulo 3

- Descriptores

- Data Quality Framework

- Plan de homologación

Módulo 4

- Recomendaciones comerciales

- Buenas prácticas de implementación en las empresas

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores la importancia de una guía de calidad para una transmisión de información clara y sin ambigüedades en las redes de valor

Examina el estándar Data Quality Framework de GS1, reconocido mundialmente para la calidad de datos de productos

Proporciona estrategias prácticas para implementar la calidad de datos en las empresas

Se centra en la precisión de los datos de productos, lo que mejora la eficiencia operativa y la satisfacción del cliente

Se basa en estudios de casos y ejemplos para ilustrar los beneficios de una gestión de la calidad de datos eficaz

Puede requerir conocimientos previos básicos sobre la gestión de la calidad de datos

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 Calidad de Datos (GS1: Data Quality Framework) with these activities:

Revise prior knowledge on data quality

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This activity will help you refresh your prior knowledge on data quality, ensuring you have a stronger foundation for learning about data quality in the context of product identification and supply chain management.

Browse courses on Data Quality

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Review notes and materials from previous courses or workshops on data quality
Complete practice questions or exercises related to data quality concepts

Revise data quality concepts

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Refreshes basic concepts of data quality, ensuring a solid foundation before diving into specific product data quality.

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Review class materials and handouts
Complete online quizzes or exercises

Follow a tutorial on how to use the GS1 Data Quality Framework

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This activity will help you gain a deeper understanding of the GS1 Data Quality Framework.

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Find a reputable tutorial on the GS1 Data Quality Framework.
Follow the tutorial step-by-step.
Take notes on the key concepts and best practices.

Four other activities

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Practice describing product attributes

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This activity will reinforce your understanding of the different product attributes that are important for data quality.

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Identify the key product attributes for a product you are familiar with.
Write a detailed description of the product, including all of the key attributes.
Compare your description to the product's description in a reputable online marketplace.
Identify any areas where your description could be improved to provide more accurate and complete information.

Asistir a eventos de networking de la industria

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Asistir a eventos de networking te permitirá conocer a profesionales de la industria, aprender sobre las tendencias actuales y explorar oportunidades de colaboración.

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Investigar y encontrar eventos relevantes
Registrarse y asistir al evento
Conectar con otros y participar en discusiones

Develop a data quality plan for a product launch

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This activity will help you apply the principles of data quality to a real-world scenario.

Browse courses on Product Launch

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Identify the key data quality requirements for the product launch.
Develop a plan to ensure that the data meets these requirements.
Implement the plan and monitor the results.
Make adjustments to the plan as needed.

Crear una guía de calidad de datos

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Crear una guía personalizada te permitirá internalizar los conceptos y principios de calidad de datos y aplicarlos en situaciones prácticas.

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Definir el alcance y propósito de la guía
Investigar y recopilar información
Redactar y organizar el contenido
Revisar y editar la guía

Career center

Learners who complete Calidad de Datos (GS1: Data Quality Framework) will develop knowledge and skills that may be useful to these careers:

Data Quality Manager

A Data Quality Manager is a specialist responsible for ensuring that the data used by an organization is accurate, complete, and consistent. They develop and implement data quality standards and procedures, monitor data quality, and work with other departments to improve data quality. Taking this course may be useful for Data Quality Managers who want to learn more about GS1's Data Quality Framework and how to implement it in their organizations.

See salaries and explore the career path for Data Quality Manager

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use statistical techniques to identify trends and patterns in data, and they communicate their findings to stakeholders. Taking this course may be useful for Data Analysts who want to learn more about how to ensure the quality of data and how to use GS1's Data Quality Framework in their work.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts work with stakeholders to define and document business requirements, and they develop solutions to meet those requirements. They may also be involved in project management and quality assurance. Taking this course may be useful for Business Analysts who want to learn more about data quality and how it can impact business processes.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market that meet customer needs. Taking this course may be useful for Product Managers who want to learn more about data quality and how it can impact product development.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define project goals, develop project plans, and track progress. Taking this course may be useful for Project Managers who want to learn more about data quality and how it can impact project success.

See salaries and explore the career path for Project Manager

Quality Assurance Manager

Quality Assurance Managers are responsible for developing and implementing quality assurance processes and procedures. They work with other departments to ensure that products and services meet quality standards. Taking this course may be useful for Quality Assurance Managers who want to learn more about data quality and how it can impact quality assurance processes.

See salaries and explore the career path for Quality Assurance Manager

Information Architect

Information Architects design and organize information systems to make them easy to use and understand. They work with stakeholders to define information needs, and they develop taxonomies, ontologies, and other tools to organize information. Taking this course may be useful for Information Architects who want to learn more about data quality and how it can impact information architecture.

See salaries and explore the career path for Information Architect

Data Governance Analyst

Data Governance Analysts develop and implement data governance policies and procedures. They work with stakeholders to define data governance requirements, and they monitor compliance with data governance policies. Taking this course may be useful for Data Governance Analysts who want to learn more about data quality and how it can impact data governance.

See salaries and explore the career path for Data Governance Analyst

Data Engineer

Data Engineers design, build, and maintain data pipelines. They work with data scientists and other stakeholders to ensure that data is available for analysis. Taking this course may be useful for Data Engineers who want to learn more about data quality and how it can impact data pipelines.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators are responsible for the design, implementation, and maintenance of databases. They work with database users to ensure that databases are available and performant. Taking this course may be useful for Database Administrators who want to learn more about data quality and how it can impact database performance.

See salaries and explore the career path for Database Administrator

Data Scientist

Data Scientists use data to solve business problems. They develop and apply machine learning and other statistical techniques to data to identify trends and patterns. Taking this course may be useful for Data Scientists who want to learn more about data quality and how it can impact the accuracy of their models.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and test software applications. They work with users to define software requirements, and they develop and maintain software code. Taking this course may be useful for Software Engineers who want to learn more about data quality and how it can impact software development.

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Information Security Analyst

Information Security Analysts protect computer networks and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They develop and implement security measures, and they monitor networks for suspicious activity. Taking this course may be useful for Information Security Analysts who want to learn more about data quality and how it can impact security.

See salaries and explore the career path for Information Security Analyst

Compliance Officer

Compliance Officers ensure that organizations comply with laws and regulations. They develop and implement compliance programs, and they monitor compliance with those programs. Taking this course may be useful for Compliance Officers who want to learn more about data quality and how it can impact compliance.

See salaries and explore the career path for Compliance Officer

Risk Manager

Risk Managers identify, assess, and mitigate risks to organizations. They develop and implement risk management plans, and they monitor risks to ensure that they are managed effectively. Taking this course may be useful for Risk Managers who want to learn more about data quality and how it can impact risk management.

See salaries and explore the career path for Risk Manager