Overcoming data quality challenges in industrial ecosystems

Industrial suppliers face data quality challenges, affecting decision-making and efficiency. This white paper explores a platform-based solution:

• 85% of manufacturers cite data quality as a top challenge
• Issues include inaccuracies, missing data, and lack of timely analysis
• A platform-centric approach offers visibility, access, integration, and intelligence
• AI and machine learning enhance analytics
• Key features: visualization, traceability, secure data sharing
• AI use cases: inventory management, quality control, process optimization

The CONNECT platform supports collaboration with rapid deployment, integration, and security.

Overcome data quality challenges by reading this white paper.