by Lauren Stone | Dec 13, 2024
In our previous blog, we explored strategies to scale data processing efficiently. However, processing large volumes of data is just the first step. The true value emerges through asset data integration— working this data into Enterprise Asset Management (EAM)... by Lauren Stone | Dec 11, 2024
Maximizing Throughput: How to Do More with Less in Data Processing Projects In our current fast-paced industrial world, companies face growing pressure to boost data throughput, processing vast amounts of asset and maintenance data quickly and efficiently. Whether... by Lauren Stone | Nov 27, 2024
Large-scale asset projects generate an overwhelming amount of data. From engineering drawings and equipment lists to preventive maintenance plans and Bills of Materials (BOMs), the sheer volume can feel unmanageable. Without the right strategies, this flood of... by Lauren Stone | Nov 15, 2024
In the previous blog, we explored the many challenges that organizations face when extracting valuable information from technical tables. Manual extraction is tedious, prone to errors, and expensive, especially when dealing with high volumes of data. Fortunately,... by Lauren Stone | Oct 3, 2024
In the world of industrial asset management, accurate asset models are the foundation for efficient operations and maintenance. These models, which organize data for equipment, components, and maintenance tasks, are essential for Enterprise Asset Management (EAM) and...