Data Science
In the data science area,We provide local audit institutions with a stable, complete and audited big data collection tool and audit big data analysis system. At the same time, according to the special circumstances of the local auditing organizations, professional services such as personalized secondary development services, data processing services, and resident operation and maintenance is also provided in time as needed.
1
Data collection master

The Big Data Audit Analysis Monitoring Platform provides data collection tools for data collection services.

2
Internal audit management system

Provide basic information on the internal audit unit, report and revision of the audit plan, audit project report and rectification tracking and other process management and statistical analysis.

3
Financial/financial data analysis system

According to the requirements of the financial audit work, standardization of financial and financial data, accurate inquiry of financial funds

4
Industry data analysis system

Provide accurate and accurate retrieval of standard industry data formed after the collection, cleaning and conversion of industrial and commercial, tax, social security, public accumulation fund, public resource transactions, and traffic management.

5
Poverty Alleviation Project Analysis System

Utilize big data technology, establish data standards for poverty alleviation work, and build a comprehensive poverty alleviation information management system of “people, finances and affairs”

6
Integrated command management system

The large-screen visualization technology is used to convert the invisible audit key data set structure into visible graphic symbols and restore the global structure of the data.

Reduce the amount of counterpart work

Reduce audit risk

Increase the effectiveness of funds

Provide decision support

Enhancing the advantages of innovation and research,persisting in serving customers as the core, we are committed to becoming the pioneer and leader in the field of government auditing big data by taking the “full coverage” of big data inferior audit development.
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