Business Intelligence BI drives manufacturing intelligence transformation

Manufacturing industry is the pillar industry of China's national economy, is the leading sector of economic growth and the basis of economic transformation, now our manufacturing industry is facing the technical process is not refined, lack of market awareness, trade circulation links, logistics costs, storage efficiency is low, and is in a special period of transformation.

Obsessed

From the perspective of enterprise information management, China's manufacturing enterprises because of the relatively low level of information technology, integrated application constraints on the promotion of business capabilities, resulting in extensive manufacturing reform is slow, supply chain, industrial structure is unreasonable, resulting in overcapacity.

Foreign aggression

Developed countries have turned their attention to the high-end technology and marketing links. Based on the strategic development Plan of "Industry 4.0" proposed by Germany, the manufacturing industry will develop in the direction of supply, manufacturing, sales information data and intelligence.

Coupled with the development trend of intelligent production in the future, the integration of information technology and industrial technology, information data management will occupy a larger share in enterprises, which brings great pressure and challenge to our manufacturing enterprises.

In response to this, business intelligence finebi advocates that technology becomes productive, while enterprise data becomes productive, and its power in data mining analytical processing and scientific decision guidance is enormous:

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Consolidate data resources

The original application system of the manufacturing industry (ERP, SCM, CRM) has accumulated a large amount of data with the development of the enterprise, but it has not been used effectively, and the potential value of the data is more difficult because of the independent application system.

Through the establishment of business intelligence data Warehouse, all relevant data in enterprise is transformed by ETL, data is cleaned and put into Data Warehouse, and the business personnel can realize self-service analysis through automatic modeling, understand production and sales situation, and get rid of the trouble of Data island.

Optimize line Management

Through the integrated Finebi Business intelligence platform, managers of different processes in the plant have access to real-time data and access to different reports. Production managers can monitor productivity and plan capacity and optimize resources from key performance indicators such as production time, capacity utilization and resource utilization; Quality Management Manager can improve product quality through product defect analysis, and senior management can improve ROI by more effective control of cost and expense analysis.

Improve supply Chain

Manufacturing enterprises are most concerned about the large amount of production, the rational allocation of resources, the reduction of procurement costs and the prevention of waste production. First, traditional supply chains need to be branched and extended to form a complete supply chain of suppliers, reducing costs, controlling quality to distributors, retailers to end users. Secondly, to clarify the value of supply chain is to meet user needs, which also makes business intelligence in information integration, need to focus on user information, to help enterprise decision-maker Analysis mode to the user needs as the leading direction of change.

1, through the comprehensive Sales analysis and inventory analysis to promote the JIT (non-inventory production mode) management, reduce inventory investment costs.

2, through the Supplier analysis (similar product price comparison analysis, order delivery time, quality, accuracy) and other choices of quality and price of the best suppliers.

3, through the production cost analysis (multi-angle cost analysis, Volume Benli analysis, specific gravity analysis, comparative analysis, profit analysis) on the inventory management and production process of the occurrence of cost monitoring, assist the decision-makers to find the production management links unreasonable input, strengthen the cost of pre-control.

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Strengthen customer relationships and improve service quality

User demand is the leading, manufacturing enterprises need to use business intelligence system for customer behavior analysis, from potential customers to retain customers, value-added customers, to swing customers, churn customers and restore customers, customer model segmentation, forecast demand trends, thereby improving products, improve customer relations, improve service quality.

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Grasp the market trend, improve the sales profit

Sales analysis is commonly used in Business intelligence module, through the system can make sales salesman self-help analysis, such as sales flow analysis, return analysis, return analysis, sales performance analysis. Through the analysis of these implementation can assist the decision-maker to find out the problems in the sales process and make corresponding timely adjustments.

Throughout the manufacturing industry, can no longer "behind closed doors", the traditional way of cost control as the core needs to reform, to increase revenue as the core, user market demand-oriented, through BI information management business intelligence to fine control the production process, through the data timely analysis of transportation sales, flexible response to market conditions.

Business Intelligence BI drives manufacturing intelligence transformation