What's the difference between big data accounting and accounting?

There are three main differences between big data accounting and accounting:

1, time is different. Compared with accounting, big data accounting appeared late, and there were related accounting needs before big data.

2. Different contacts. Accounting is responsible for accounting completed capital activities, describing capital accounts, finance is responsible for analyzing capital operation and budgeting future funds, and big data accounting has more contact with data.

3. Different ways. With the rapid development of big data, artificial intelligence, cloud computing, mobile Internet and Internet of Things technology, traditional accounting tools have been developed, thus becoming big data accounting.

Explanations related to big data accounting:

1, accounting (big data direction) forward-looking training adapts to today's artificial intelligence and big data era. Accounting business and accounting information are increasingly showing new accounting business characteristics such as massive data processing, real-time cloud computing and accounting intelligent decision-making.

2. Accounting (big data direction) A new type of high-end compound accounting talents and accounting financial leaders with knowledge of accounting and financial theory, big data analysis and processing technology, computer artificial intelligence and IT information technology "arts and sciences" professional knowledge and technical skills.

3. Graduates are suitable for traditional financial accounting and financial investment in accounting firms, securities companies, fund companies, commercial banks, listed companies, state-owned enterprises, institutions, government agencies and other enterprises and institutions, and are better able to carry out complex big data accounting business logic processing and system design.

4. A large number of repetitive and standardized accounting functions have been replaced, but there is a huge gap between data managers and analysts who can make effective decisions for enterprises based on accounting professional judgment and big data analysis.