Build a 360° Product View via Smart Master Data Management

Building a 360° Product View Through Intelligent Master Data Management

Did you know that a report states that businesses could lose up to 12% of their prospective ROI because of missing or rogue data entries? 

The loss of 12% of prospective return on investment can be severe. Do you think any ideas can prevent it? Well, a 360-degree product view of a company can be an option. Indeed, it’s a necessity for organizations to understand their offerings across every touchpoint. These points can be seen anywhere from manufacturing & inventory to sales and customer feedback.  Here, an intelligent master data management plan can prove a big change-maker.

Let’s discover what this 360-degree product view is. And how master data management tools can enhance intelligence, whose role is centralizing, cleaning and connecting relationships between product data.

What Is a 360° Product View?

A 360° product view presents a comprehensive overview of a product. Specifically, it can cover every detail from specifications, pricing, availability to its lifecycle, supplier details, and performance metrics.

With this streamlined information, every stakeholder in marketing and operations teams can work with consistent and updated data.

Let’s say, a retailer has created multiple databases to record asset pricing (old and new), shipping details, and feedback. These databases must be connected. Without integration, the information would be misguided. This incident leads to further complications. That’s why merging these sets of data is a must.

It represents a very smart approach, which is to enable strategy-makers, suppliers, and customers to access accurate product information in real time from anywhere.

The Role of Master Data Management

As aforesaid, master data management is no less than the backbone of a business empire. With it, building a 360-degree product view can be like a cakewalk. So, the focus of data specialists should be on consolidating and maintaining consistent data. Also, it must be verified and reliable.

Data specialists who provide master data management services emphasize product data standardization, deduplication, and synchronization between databases. Simply put, they consistently integrate updated data from various platforms like ERP, CRM, and e-commerce websites. This is just an overview.

For adding effectiveness, these data experts prepare a proven Master Data Management (MDM) framework. It covers these verticals: 

·         Data Integration is all about consolidating data from multiple sources like CRM, ERP, etc.

·         Data Cleansing is to ensure data hygiene by detecting and removing errors or flaws.

·         Standardization enables businesses to bring datasets in a similar format.

·         Governance is to regulate data usage by following ethical quality evaluation and practices and regulations.

·         Automation is powered by AI to handle data automatically in databases.

These are some strong pillars that help create a comprehensive overview of the product.

Why Businesses Need a Unified Product View

Your product information should be similar across various databases. It is because companies have millions of product SKUs. Dupes or inconsistencies can lead to displaying mismatched specifications on various e-commerce websites or sales channels.

This gap can impact overall business. Monitoring bitter customer experience, or tarnished brand reputation to reduce profitability, can reveal it effortlessly. That’s why you need a unified product view, which benefits through these ways: 

1. Improve Operational Efficiency

Prolonged verification processes from different departments won’t exist. MDM helps in verifying it early while auditing the accuracy of product descriptions, pricing, availability, and accessibility in a place. 

2. Enhance Customer Experience

Customers expect an up-to-date and accurate product description before purchasing anything online. If it’s similar across all channels, customers trust it easily.

3. Support Data-Driven Decisions

Master data presents centralized product insights. Businesses can leverage them to analyze their overall performance, demand patterns, and supply chain efficiency for feasible decisions. 

4. Ensure Compliance and Accuracy

Some industries engaged in mission-critical operations or services must follow compliance regulations. Centralized master data automatically complies with them by keeping data updated and compliant.

5. Enable Scalability

Scalability is way easier with MDM because it sets the background to manage new products, suppliers, and regions without trapping in chaotic data. 

The Role of Intelligence and Automation

Unlike human-based master data systems, AI and automation have transformed it into intelligent and smart MDMs.

Artificial intelligence (AI) can simplify product data management in several ways:

  • Automated Data Matching and De-Duplication: AI can identify dupes or conflicting records in seconds without human interference.
  • Smart Categorization: Machine learning is another revolutionary technology that can automatically assign products to the related categories using data-driven models, which are derived from historical data.
  • Data Enrichment: To complete or enrich missing attributes, like dimensions or descriptions, AI tools win. They extract specifications from existing datasets or online sources.
  • Predictive Insights: Smart MDMs analyze trends more effectively than human beings. Analyzing trends to predict demands – everything seems like a walkover before they affect operations.

These technological evolutions enable businesses to not only save time, but they also achieve higher accuracy and better decisions.

Steps to Build a 360° Product View

A unified product perspective cannot be structured overnight. You need to prepare its roadmap using both technology and governance.

1. Identify All Data Sources

List down all platforms like CRM, ERP, supplier portal, etc. where product information lies.

2. Assess Data Quality
Thoroughly find and fix issues related to completeness, consistency, and accuracy.

3. Define Data Governance Rules
Meticulously align ownership to access data, validate it, and provide approvals. This practice will maintain integrity.

4. Integrate Systems with MDM Tools

Use MDM tools to centralize and sync product details across all connected systems.

5. Automate Data Synchronization

Streamline data from various systems to collate accurately, refining the existing records.

6. Visualize Insights

Smart MDM platforms provide insightful dashboards for quick scanning of data quality and compliance in real time.

This is one of the most feasible approaches to establish clean, connected, and reliable master data for products.

Conclusion

Overall, an intelligence master data management system is far beyond operational efficiency. From brand reputation to market strategies, a 360-degree product view can ensure business agility. Simply think of a product launch campaign. Marketers can use MDM to instantly discover and leverage accurate product specifications from the listing to promote and brand their products. Even supply chain experts can also stay tuned with their availability status in the stock. 

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