Big Data
What Is Big Data?
Big data refers to extremely large and complex datasets that are difficult to process using traditional data processing application software. It is often characterized by the three Vs: Volume (the amount of data), Velocity (the speed at which the data is generated), and Variety (the different types of data).
Analyze Your Use Case
NYRIS uses big data to improve the accuracy and efficiency of its visual search technology.
How Does Big Data Work?
- Data Collection:
- Big data systems gather information from a wide range of sources, including sensors, social media, and transaction records. NYRIS leverages data from CAD models, product images, and user interactions.
- Data Processing:
- Advanced technologies like Hadoop, Spark, and cloud computing are used to process and analyze the data. NYRIS employs deep learning algorithms to extract meaningful features from large image datasets.
- Insight Generation:
- Machine learning techniques identify patterns, trends, and anomalies, providing valuable insights for decision-making. NYRIS generates actionable insights for optimizing inventory management, predictive maintenance, and product discovery.
Use Cases
Manufacturing
- Predictive Maintenance: Big data analytics predicts equipment failures by analyzing sensor data, reducing downtime by 72% for clients like DMG Mori.
E-commerce
- Personalized Recommendations: E-commerce platforms like IKEA use big data to analyze customer behavior and browsing history, increasing conversion rates by 35%.
Retail Inventory Management
- Optimized Stock Levels: METRO employs big data to track inventory in real-time, minimizing stockouts by 68% and improving overall supply chain efficiency.
Benefits For Your Company
- Improved Decision-Making: Analyze vast datasets to gain insights into customer behavior, market trends, and operational efficiency.
- Enhanced Operational Efficiency: Optimize processes such as supply chain management, predictive maintenance, and quality control.
- Competitive Advantage: Achieve faster and more accurate results compared to competitors by leveraging advanced big data analytics.
FAQs
How does NYRIS use big data?
NYRIS uses big data to train its visual search engine, allowing it to quickly and accurately identify products from images, even across vast catalogs.
Is big data analysis expensive?
While initial setup may require investment, the long-term benefits of improved efficiency and decision-making typically outweigh the costs. NYRIS can assist in optimizing big data solutions for cost-effectiveness.
Can big data help with predictive maintenance?
Yes! By analyzing sensor data from equipment, big data analytics can predict potential failures, enabling proactive maintenance and reducing downtime.
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.