Data management is changing before our eyes. Just yesterday, companies worked with fragmented databases, local storage, and manually configured integrations. Today, market leaders are moving toward Data Fabric – an architecture that connects different data sources and ensures fast, secure, and consistent access to information.
Gartner predicts that by 2027, 30% of enterprises will use Data Fabric to build competitive advantage. But there’s an important nuance: Data Fabric is not a ready-made product you can buy and install. It’s an architectural approach built from various solutions and components.
In this article, we’ll examine how PIM systems such as MARKETPROVIDER become a key element of Data Fabric, responsible for product data – one of the most complex and valuable categories of corporate information.
What is Data Fabric?
Data Fabric is a data management architecture that uses metadata, semantics, graph models, and AI/ML to ensure end-to-end integration, governance, and availability of data across all environments – from the cloud to on-premises systems.
Think of Data Fabric as an intelligent network that connects data sources with those who use them.
This system includes:
- Data integration from any systems and applications – from legacy databases to modern cloud services;
- Active metadata that tracks data lineage and shows how data is being used;
- AI and machine learning to automate routine tasks and improve data quality;
- Delivery of information to all required channels and applications;
- Data quality management and version control.
The main goal of Data Fabric is to break down silos, speed up access to information, and turn data into a true strategic asset for the company.
The Problem of Product Data
Product data is a special type of information. It covers many aspects:
- Technical specifications and product attributes;
- Images, videos, and marketing descriptions;
- Prices, discounts, and stock information;
- Customer reviews and ratings.
The problem is that all this information is usually scattered across dozens of systems: ERPs, Excel files, marketplaces, CMS, digital asset management systems, and e-commerce platforms. The result?
- Data conflicts across different systems;
- New product launches take weeks instead of days;
- Marketing campaigns suffer due to outdated content;
- Brands lose sales because of errors in product listings.
Data Fabric offers a solution, but to manage product data effectively, a specialized tool is required. This is where a PIM system comes in.
MARKETPROVIDER as a Component of Data Fabric
- Single Source of Truth
MARKETPROVIDER consolidates all product data in one place and makes it accessible to all corporate systems. This creates a single standard of quality and guarantees data consistency across the company. - Powerful Integration Layer
The system unifies data from ERPs, marketplaces, CMS, Excel files, and suppliers. Essentially, MARKETPROVIDER becomes the integration layer of Data Fabric specifically for product information – and does so effectively. - Smart Metadata Management
MARKETPROVIDER maintains change history, manages data versions, and records who made edits and when. This fully aligns with Data Fabric principles of metadata management and data lineage tracking. - AI for Process Automation
The system automatically generates product descriptions, selects keywords, and even creates images. This reduces workload for teams, accelerates new product launches, and embodies the Data Fabric principle of using machine learning to optimize data workflows. - Multichannel Delivery
MARKETPROVIDER distributes data to marketplaces, e-commerce platforms, retail media platforms, CMS, and any other digital channels. This is a practical implementation of Data Fabric’s principle: delivering data where it is needed, in the right format, at the right time.
Practical Impact
For Business
- New products reach the market faster than competitors;
- Sales grow thanks to high-quality content;
- A single data standard works across all sales channels.
For IT Departments
- Less time spent on manual system integrations;
- Fewer errors and technical delays;
- Ability to build a flexible Data Fabric architecture around PIM.
For Data Fabric Architecture
- MARKETPROVIDER covers the product data layer, ensuring connectivity and manageability;
- The system complements corporate data warehouses, Data Lakes, MDM systems, and data catalogs.
Recommendations for CIOs and CDOs
- Start with products. Launch your Data Fabric project by managing product data – it’s business-critical.
- Use PIM as a central element. Make MARKETPROVIDER the foundation for managing and distributing product information.
- Integrate with existing infrastructure. Connect PIM with your corporate data catalog, Data Lake, and data warehouse.
- Leverage AI capabilities. Use MARKETPROVIDER’s intelligent features to automate processes and reduce costs.
Conclusion
Data Fabric is not just a trendy concept, but a real path to effective data management in modern enterprises. For product data, which directly impacts sales and is present across all digital channels, a specialized approach is essential.
PIM MARKETPROVIDER solves this critical challenge: transforming chaotic product information into a structured, manageable, and profitable asset. The system not only stores data but turns it into a working tool for business growth, automates routine tasks, and ensures information consistency across all channels.
Companies that adopt this approach early will gain a significant advantage: faster product launches, higher conversion rates through quality content, and lower operating costs. In a world where speed and data quality determine success, MARKETPROVIDER becomes not just a useful tool, but a necessary element of modern IT architecture.
