Discussion on application of Big data analysis in petrochemical enterprises

Discussion on application of Big data analysis in petrochemical enterprises

Application Status of Big Data

1, the volume of data is constantly increasing, and the structure is constantly complex.

According to IDC, the amount of data produced by human beings is growing exponentially, doubling about every two years, and this rate will continue to be sustained by 2020. This means that the amount of data produced by humans in the last two years is equal to the total amount of data previously generated. At the same time, the emergence of a large number of new data sources led to the growth of unstructured, semi-structured data explosion.

These data generated by the information we create are far beyond what we can handle today, and the era of big data is coming ...

2. Big data status of Chinese enterprises

At present, the Chinese enterprises 500 strong daily data generation is more than 1GB, more than 4.9% of enterprises more than 1TB. China's enterprise data center data storage is rapidly growing, unstructured data is exponentially increasing, if it can be effectively processed and analyzed, non-structural data is also rich in enterprise valuable information.

Application of Big Data analysis in petrochemical enterprises

1, Big Data analysis in the Petrochemical enterprise application main aspect

Petrochemical industry has a multi-link, multi-regional characteristics, the optimization of each link is the petrochemical industry's most concerned about the Big Data application field. The petrochemical industry Big Data Analysis application distributes in the supply chain optimization, the inventory management, the fund unification management and the production supervision optimization four modules.

2, petrochemical enterprise data characteristics

Petrochemical industry enterprise data of large data, storage format complex, data scattered, types, different types of data contained in each of the characteristics of the information contained in a variety of data can truly reflect the actual situation of the enterprise.

The demand for big data analytics solutions in the petrochemical industry is concentrated in the analysis of Supply chain optimization, inventory management, capital Management, production and safety supervision.

The problem that the petrochemical enterprise uses big data analysis needs to solve, mainly lacks the data omni-directional analysis method, the ERP software processing ability is poor, the real-time data analysis ability is poor, the massive data processing efficiency is low, its distribution as follows:

The value of big data analysis in petrochemical enterprises

Global research from IBM shows that big data analytics is increasing in value in supporting revenue-generating strategies and achieving cost control. In addition, nearly 40% of companies have achieved a rapid return on investment (ROI) within six months of adopting big data analytics.

Through analysis methods and solutions, it is possible to systematically discover useful relationships in a large number of data, that is, to realize the repeatability of the rule of experience. By establishing a fitting model to study different relationships until useful information is found, which is used to analyze the cause to solve the problem. Identify potential values, anticipate a "bad future" that might occur, and give advice on predicting and delivering solutions.

three key elements for big data analytics: support, trust, and skills. companies that apply big data analytics need ongoing support from management, need to strengthen trust across the professional sector, and have deep business knowledge and skills.

Iv. the results of big data analysis of petrochemical Enterprises (Heng Yi Group)

1. The target demand of Evergrande data analysis

① Big data is increasingly widely used to make decisions for businesses with big data analytics.

② with the development of the company has multiple it application systems and accumulated a large number of data, reasonable use of data optimization supply chain, inventory management, production cost control and security management, improve the overall competitiveness of the company.

③ Company Development puts forward the problem of how to build smart factory in the era of big data

2, the use of software: Sail Soft Finereport

3, the results show: "The project has been Zhejiang Province Enterprise Informatization Innovation Project Award"

① Fund Management category-decision analysis, business statistics

② Human Resource Analysis

③ Supply Chain Management

Discussion on application of Big data analysis in petrochemical enterprises