How Data Governance can improve the quality of material records

In the digital age, where information is vital, ensuring that material records are flawless is crucial to the success of any business. This is where data governance comes into play, acting as the guardian of information quality and integrity. Let's explore how this practice can work wonders to elevate the accuracy and usefulness of your records.

What is data governance?

Data governance is like the "rules of the game" for ensuring that the information within a company is reliable, consistent and usable.

It acts as a guardian that maintains data quality and integrity, facilitating decisions and avoiding confusion.

What are the main aspects of data governance?

The main aspects of data governance include establishing standards, ensuring quality, guaranteeing security and privacy, managing metadata, complying with regulations, defining responsibilities, promoting training, managing risks, facilitating change management and pursuing continuous improvement.

These elements aim to ensure the reliability and effectiveness of information within the organization.

What is master data and how does it relate to data governance?

Master Data: Master data is fundamental, persistent information that represents entities essential to an organization, such as customers, products and suppliers. It is central to business operations and processes.

MDM (Master Data Management): MDM is a discipline focused on the effective management of master data across the entire organization. It involves policies, processes and technologies to ensure the consistency, quality and optimized use of master data.

Relationship with Data Governance: Data governance is crucial to MDM, as it establishes the guidelines, standards and responsibilities needed to ensure that master data is compliant, secure and maintains its integrity over time.

Governance ensures that master data meets the organization's strategic objectives and is aligned with applicable standards and regulations.

What is the difference between products and materials?

The difference between "products" and "materials" is generally related to the context in which these terms are used.

In short, "products" are the end result, available for sale or use, while "materials" are the basic elements or components needed to create those products.

In the context of data management, categorizing and differentiating between products and materials is essential for an organization to understand its value chain and efficiently manage its records and information.

What is material and product record governance?

Material and product record governance refers to the application of practices and policies to effectively manage the information related to these elements.

It involves establishing standards, ensuring quality, guaranteeing security and compliance, defining responsibilities and pursuing continuous improvement.

In the context of SLAs (Service Level Agreements), governance defines agreements for the registration process, establishing response times and service levels to ensure efficiency and compliance with established standards.

KPIs (Key Performance Indicators) assess the effectiveness of governance by measuring data quality, compliance with standards, registration speed, among others.

Examples of positive business outcomes include fewer errors in records, greater operational efficiency, improved decision-making and regulatory compliance, resulting in more agile processes and a competitive advantage.

What is descriptive standardization of materials?

Descriptive standardization of materials is the practice of establishing uniform formats and criteria for describing items or substances used by an organization.

It aims to ensure consistency and clarity in descriptions, making it easier to identify and efficiently manage materials.

For example, a company that standardizes the description of its materials could use a specific format including information such as type, size, composition and other essential characteristics.

This enables quick identification, reduces ambiguity, improves record accuracy and optimizes material search and selection processes, resulting in more efficient management and fewer operational errors.

Which material attributes should we manage in our companies?

The material attributes to be managed may vary according to the industry and the specific needs of an organization. Below are some categories with examples of common attributes:

1. Identification and Description:
   • Material code
   • Name or description
   • Material category
2. Technical Specifications:
   • Dimensions (length, width, height)
   • Weight
   • Manufacturing material
   • Tolerances
3. Suppliers and Purchasing:
   • Main suppliers
   • Contractual terms
4. Inventory and Logistics:
   • Unit of measure
5. Quality and Compliance:
   • Quality certifications
   • Compliance standards
   • Test results
6. Life Cycle:
   • Status (active, obsolete)
   • Market introduction date
   • Obsolescence date
7. Associated Documentation:
   • Instruction manuals
   • Technical specifications
   • Certificates of compliance
8. Relationships:
   • Associated products
   • Related components
   • Substitute materials
9. History:
   • Record creation date
   • Last update date
   • Change history

These are general examples, and the specific selection will depend on the particular characteristics of the materials and the business requirements.

Effectively managing these attributes through the Master Data Management (MDM) discipline is crucial to maintaining the consistency, quality and integrity of material master data.