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There are four courses under this subtopic. Digitalization and Network Security
Management familiarizes participants with the basic concept of network security,
overall situation, cyberattacks and defenses, and experience of tax network security
management. Operation and Maintenance Management of Tax Information System
offers a snapshot of the framework of operation and maintenance management as well
as the operation and maintenance system in tax administration. Jurisdiction Practice
in Overall Design of Tax Informatization presents participants with the strategic
planning and implementation of tax administration in relevant jurisdictions, including
demand initiation, validation research, realization path and construction. New
Technology Adoption in DTA and Its Outlook introduces the background, relevant
experience, application and prospects of new technologies in tax administration.
Specific application cases and practices of digitalization will be highlighted to inspire
participants to reflect and enhance their hands-on skills.
3.2.4 Tax Big Data and Practical Adoption

Featuring a high level of volume, velocity, variety, veracity and low-value density,
big data can be leveraged for predictive analysis, user behavior analysis and other
relevant data analysis. In the process of DTA, a great store should be set on the
development and application of big data to improve the level and capability of big
data governance, and fortify the security guarantee system of big data. This subtopic
introduces the concept of tax big data and its use so as to raise participants’ awareness
of a big-data-driven tax administration and digital management of tax system, and
improve their ability of application.

There are three courses under this subtopic. In Concept and Adoption of Tax Big
Data, participants will be presented with the background, development trends and
achievements of tax big data. Application of Tax Big Data shares common
application scenarios of tax big data by specific cases as well as elaborate
explanations. Big Data Analysis and Application summarizes different methods and
best practices related to business and technical data visualization.

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