Blog · 2 May 2024 · Paulo Cordeiro

Differences between Material, Product and Article

In the context of Master Data Management (MDM), the distinction between material, product and article is fundamental…

In the context of Master Data Management (MDM), the distinction between material, product and article is fundamental to data accuracy and organizational operational efficiency.

These terms, although often used interchangeably, carry distinct meanings that directly impact inventory management, production, marketing and sales analysis. A clear understanding of these categories allows companies to optimize processes, improve decision-making and increase customer satisfaction.

This text aims to clarify the differences between materials, products and articles, highlighting the importance of each within MDM systems.

By exploring the challenges associated with managing these elements and the strategies to overcome them, we will offer valuable insights for professionals and companies seeking to improve their data management practices.

Through practical examples and implementation recommendations, readers will gain a deeper understanding of how properly distinguishing between these categories can lead to greater efficiency and competitiveness in today's market.

What is master data?

Master data is essential, consistent information that supports business transactions and analytics across an organization.

It represents core business entities, such as customers, products, employees and suppliers, used across various systems and processes, ensuring uniformity and accuracy in operations and decision-making.

Master data differs from transactional data, which are records of daily transactions, and from analytical data, used for analysis and reporting.

Effective master data management is crucial to the integrity and efficiency of enterprise information systems.

What is a Material?

In the context of data management and business operations, a material refers to any item required for the production or supply of products and services.

This includes raw materials, components, intermediate parts and any other inputs used in the process of manufacturing or assembling a final product.

Materials are fundamental to the supply chain and inventory management, requiring accurate and effective management to ensure operational efficiency and customer satisfaction.

What is a Product?

A product is the result of a production process, whether tangible, such as physical items that can be bought and sold, or intangible, such as software and services.

Products are developed to meet consumers' needs or desires and can be differentiated by features, quality, design and brand.

They are central to business operations, from conception and manufacturing to marketing and sales, playing a crucial role in generating revenue for companies.

What is an Article?

An article, in the business and data management context, generally refers to a specific variant of a product or material.

It can describe items that differ in size, color, packaging or other specifications. For example, in a clothing store, an article may be a T-shirt of a certain model, but available in different sizes and colors. Each of these variants is considered a separate article for inventory, sales and management purposes.

Examples of Materials, Products and Articles.

Examples of materials, products and articles can vary widely depending on the context:

  • Materials: These may include items such as steel (used in automobile manufacturing), fabric (used in clothing production), or silicon (used in electronic components).
  • Products: These are the final items, such as an automobile, a garment, or a smartphone, sold to consumers or to other companies.
  • Articles: These refer to specific variants of a product, such as a car in different colors and configurations, T-shirts in different sizes and prints, or smartphones in different models and storage capacities.

What are the differences in records between industry and retail?

The differences in records between industry and retail reflect the specific needs of each sector.

In industry, material and product records focus on technical specifications, composition, production processes and quality requirements.

In retail, product records prioritize consumer-oriented information, such as descriptions, categorization, prices, and data for marketing and sales.

Industry needs technical details for manufacturing and quality control, while retail focuses on information that facilitates commercialization and the customer's shopping experience.

How to apply descriptive standardization to material, product and article records?

To apply descriptive standardization to material, product and article records, follow these steps:

  1. Defining Standards: Establish clear standards for names, descriptions, and attributes of each item. This includes defining name structure, terminology and formats.
  2. Classification and Categorization: Develop a classification system that groups similar items together, making search and management easier.
  3. Use of Taxonomies and Ontologies: Implement taxonomies to categorize and relate items logically, using ontologies to define the relationships between different items and categories.
  4. Consistent Attribute Data: Ensure that all items have consistent, relevant attributes, such as dimensions, weight, material, and price.
  5. Data Governance: Establish governance processes to maintain data quality and consistency over time, including regular reviews and updates of records.

These practices help improve operational efficiency, facilitate inventory management, and enhance the customer experience by ensuring clear and accurate information.

To learn more about descriptive standardization, watch this video:

What is a merchandise tree and how can it be implemented by industry and retail?

A merchandise tree is a hierarchical classification system used by industries and retailers to organize products and materials in a logical, structured way.

It allows items to be categorized at different levels, from broad categories to more specific subcategories, facilitating inventory management, sales analysis and the customer's shopping experience.

To implement it, the classification criteria at each level of the hierarchy must be clearly defined, ensuring consistency and cross-functional understanding within the organization.

The main differences in implementation between industry and retail lie in the classification criteria.

In retail, they tend to focus more on end-consumer-oriented characteristics, such as style, use or age group, whereas in industry, classification may be more technical, focused on manufacturing characteristics, application or material composition.

Why is it difficult to keep records complete and up to date using only the ERP?

Keeping records complete and up to date using only the ERP is difficult due to the complexity and dynamism of business data.

ERPs, though powerful, may have limitations in flexibility, failing to keep pace with rapid changes in data or business needs.

In addition, manual data entry can lead to inconsistencies and errors. The lack of automatic integration with other data sources and systems can also prevent real-time updates, making the record maintenance process challenging.

What are PIM and MDM? What are the differences between them and how to choose?

PIM (Product Information Management) and MDM (Master Data Management) are systems used to manage data in organizations.

PIM focuses on managing product information, optimizing distribution to various sales and marketing channels.

MDM is broader, managing master data for various entities (such as customers, products, suppliers) to ensure consistency and accuracy across the entire company.

The choice between them depends on the organization's specific needs: PIM for a focus on products and marketing; MDM for broad, integrated master data management.

How can 4MDG support record management for the industrial and services segments?

4MDG can support record management for the industrial and services segments by automating and centralizing master data management.

It facilitates data standardization, quality and governance, enabling better systems integration, operational efficiency and decision-making based on consistent, accurate information.

This is crucial both for industries, which need to manage complex supply chains, and for service companies, where data quality directly impacts service delivery and personalization.

How can retail benefit from a Low-code MDM solution such as 4MDG?

Retail can benefit significantly from a Low-code MDM solution such as 4MDG by simplifying and speeding up master data management.

With intuitive interfaces and the ability to customize workflows without advanced programming, retailers can easily integrate, cleanse and enrich product, customer and supplier data. This improves data accuracy, operational efficiency and the customer experience, while reducing the cost and time of implementing data management solutions.

 See a bit more of 4MDG in the following video:

That's it! Good business! 

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