Résumé:
The tax is one of the oldest and most important sources of public revenue،as it has formed for a long time the main element in business
and scientific studies، and this is due to its being one of the most important sources of public revenue and financing. Therefore، in all
countries of the world، paying taxes is among the most difficult and time-consuming interactions of citizens with the government.
Strengthening tax compliance and the collection of adequate revenue is essential to financing benefitsand public services.
The desired objective of this study is the extent of the efficacy of digital transformation،working to automate its systems،ensuring
appropriate taxation of the digital economy and reducing obstacles to tax compliance. Reliance on technology will inevitably lead to
successful and sustainable tax reforms، and the Corona Virus (Covid-19) pandemic، which has brought a boom in the use of digital
commerce، has made this change very urgent for tax administrations Digital transformation makes things easier for authorities By easing
the administrative burden، giving administrators more time to focus on higher-value activities. It also allows Authorities can simplify
procedures and reduce the burden of compliance on taxpayers. And research shows، with these changes underway، taxes are likely to
look much different in the future. This is the conclusion of a case study of using the SAP system and its treatment of the evidence with the
following results:
The decisions of tax administrations will be increasingly supported and enhanced by artificial intelligence. However،the system will have
to be closely monitored for errors,Tax departments can become repositories for more government data. This would give it a central role
in shaping economic policies،enabling policy makers to review the transactions made. economics and provide better predictability.
The tax system could become more user-friendly. Services may include pre-completed tax returns،enabling taxpayers to view their filing
information، sharing data with banks to expedite credit approvals، as well as inquiries from researchers and local communities about
privacy-conscious tax file
