VII Data Discovery

VII Data Discovery combines data-based methods and tools with Valmet’s expertise in analytics, processes and technology to discover improvement potential in operations or asset performance. Depending on the project scope, a VII Data Discovery project provides valuable insights and actionable recommendations for process stability, production performance, asset reliability, and operational optimization.

Data discovery process

VII Data Discovery is an interactive process that utilizes historical data from a mill or plant. Typical data sources include Distributed Control System (DCS) data, laboratory measurements, data from other information systems such as Manufacturing Execution System (MES) and Enterprise Resource Planning (ERP), breakdown and maintenance logs, PI diagrams, cost data, and interviews. The data is exported and, in cooperation with your specialists, analyzed by Valmet’s data scientists and process specialists. The results offer a detailed and holistic overview of the mill’s or plant’s processes, helping to resolve known issues, find the root causes of problems, and identify potential areas for improvement. The data discovery process typically takes about eight weeks.

There are two approaches to VII Data Discovery:

• Analytics for identified problems: using analytics to fix known problems
• Analytics for identifying improvement potential: seeking for and identifying potential areas of improvement

Identifying optimization and development opportunities

Based on the results of the data discovery process, it is possible to define which areas of the process will be taken into the focus and move forward with suitable Industrial Internet applications and solutions. With insights drawn from data, these opportunities can also be evaluated within the context of a longer-term digitalization roadmap, resulting in meaningful and precise suggestions for future actions and development.