Structured Data
What Is Structured Data?
Structured data is information that is organized in a predefined format, making it easily searchable and analyzable. It typically resides in databases and uses a schema to define the type and relationships between data elements.
Analyze Your Use Case
NYRIS uses structured data to improve the accuracy and efficiency of its visual search technology, allowing for faster and more relevant results.
How Does Structured Data Work?
- Data Definition:
- Define a schema that specifies the structure, type, and relationships of the data elements. NYRIS uses schemas to describe product attributes, manufacturing components, and inventory details.
- Data Entry:
- Input the data according to the defined schema. NYRIS automates data entry by extracting information from images, documents, and databases using OCR and machine learning.
- Data Storage:
- Store the structured data in a database or data warehouse, making it accessible for querying and analysis. NYRIS uses scalable cloud-based storage solutions to manage large volumes of structured data.
Use Cases
Manufacturing
- Spare Parts Identification: Structured data enables technicians to quickly identify replacement parts by searching for specific attributes like part number, manufacturer, or dimensions. DMG Mori reduced downtime by 72% using NYRIS's solution.
E-commerce
- Product Discovery: E-commerce platforms use structured data to enhance product search and recommendations, increasing conversion rates by 35% for retailers like IKEA.
Retail Inventory Management
- Optimized Stock Levels: METRO employs structured data to track inventory in real-time, minimizing stockouts by 68% and improving supply chain efficiency.
Benefits For Your Company
- Improved Search Accuracy: Deliver more relevant search results by providing structured information to search engines and databases, achieving a search accuracy rate of 99.7%.
- Enhanced Data Integration: Facilitate seamless data exchange between different systems and applications, reducing manual data entry by 85%.
- Better Business Intelligence: Enable more effective data analysis and reporting, providing valuable insights for decision-making and strategic planning.
FAQs
Can structured data improve SEO?
Yes! By providing search engines with structured information about your website's content, you can improve your search rankings and attract more organic traffic.
How does NYRIS use structured data?
NYRIS uses structured data to organize product information, component specifications, and metadata, enabling its visual search engine to quickly and accurately identify items from images.
Is structured data only for large enterprises?
No! Structured data can benefit businesses of all sizes by improving data management, search accuracy, and decision-making capabilities. NYRIS offers scalable solutions for companies of all sizes.
About NYRIS
Founded in 2015 in Berlin, NYRIS is a leader in AI-powered visual search and synthetic data solutions for industries like manufacturing and retail. With €10 million in funding from investors such as Trumpf Venture and IKEA, NYRIS processes over 500 million products with sub-second speeds using advanced feature extraction technology.