The manufacturing industry's original application systems (ERP, SCM, CRM) have accumulated a large amount of data with the development of the enterprise, but have not been effectively utilized, so the key to the application of industrial big data is to first build a comprehensive and in-depth informatization platform to integrate various types of data through software such as business intelligence.

Specific applications such as optimizing production lines through FineBI, a business intelligence tool from Fansoft, allow managers of different processes in a factory to obtain real-time data and access different reports. Production managers can monitor productivity and plan capacity and resource optimization from key performance indicators (KPIs) such as production time, capacity utilization and resource utilization; quality management managers can improve product quality through product defect analysis; and senior management can improve ROI through more effective cost control and expense analysis.

Secondly, the supply chain can be improved, for example, through comprehensive sales analysis and inventory analysis to promote JIT (no-inventory production method) management and reduce inventory investment costs. Through supplier analysis (comparative price analysis of similar products, order delivery time, quality, accuracy) and so on to choose the best quality and price suppliers. Through production cost analysis (multi-dimensional cost analysis, volume cost-benefit analysis, weighting analysis, comparative analysis, profit analysis) to monitor inventory management and production process costs incurred to assist decision makers to identify unreasonable inputs to the production management process, and to strengthen the cost of pre-control

.