Digital Leadership In Tax Planning- Beyond The Textbook

Digital Leadership In Tax Planning- Beyond The Textbook

The introduction of online financial services has transformed the way the finance sector of India functions. However, the effect of technology has not been limited to this sector only; it has also affected associated sectors. In this regard, a prominent example will be India’s tax planning or tax filing system. 

In the current scenario, almost everything related to taxation is now operated via different online processes. Therefore, it is essential to be accustomed to this changing landscape, and you can read on to get a better idea of the same.

What Is Tax Planning All About?

But before we dive deep in, we need to understand what tax planning is and what all it involves?

Tax planning means the procedure to reduce tax liability. It is done by introducing deductions, benefits and tax exemptions. In India, tax planning gives the taxpayer a chance to make the best use of these liability-reducing instruments to save on the total tax payment every financial year.

How Is Tax Planning Handled Presently?

This complex affair is handled by the best accountants, chartered accountants, and lawyers. In the current system, this is all done manually via some basic software and majorly via bookkeeping.

At the same time, a point to note here is the importance of maintaining reconciliations. 

Since an extensive amount of data is shared between various Tax and Regulatory Authorities, if there is any discrepancy between the various channels of reporting, then auditing is performed by both the external and internal authorities. Organizations, therefore, maintain a strong data reconciliation in various reports sent to different taxation authorities.

Expenditures are reported in the form of –  

  • TDS return
  • Income-tax returns
  • Inward GST supply under GSTR 9/9C GSTR 2A/2B and Outward supply as per GSTR 1, GSTR 3B and GSTR 9/9C
  • Form 26AS
  • Tax audit under section 34(a)
  • The Financial Statements are required in MCA filings.  
  • AIS/TIS

How Has Tech Been Infused Within the Tax Planning Structure?

Tax planning structure is tech-enabled these days. It is a must-have for every tax planning organization. The authorities related to Indian Tax have led the way with the use of advanced technology in tax planning. 

Some of these tech-enabled taxation changes are –  

  • Launch of faceless assessment scheme
  • Electronic filing of TDS and TCS
  • GST system-generated notices
  • AIS/TIS form
  • Red flag reporting
  • Auto-generated return
  • Blocking of ITC

These changes have depicted how vigilant the taxation bodies are these days. They are constantly upgrading themselves in terms of the use of technology. This has resulted in significant evolution in digital governance and tax compliances. This approach has led to an increase in the efficient functioning of tax regulating authorities and better management of risks related to tax. This has been advantageous both in the short and long term. Those who have braced the technology for tax and finance would agree with this statement.

The Educational Setup behind Tax Planning Training Also Needs to be Upgraded

Tax planning training needs to be also upgraded if these technological changes need to be pushed in public. Otherwise, people will still feel taciturn in using these changes, and there will be several bottlenecks in incorporating tech in tax planning.

As the demand for a banking and finance career is becoming a lucrative one, a detailed course on taxation can be a part of it, be it at the graduate level or as a post-graduate specialized course.

Apart from this, the KYC and AML Certification is another way to counter this ever-increasing demand for online tax filing and planning.

Final Word

To sum up, the emergence of the online taxation method has changed the way of managing this whole system. Hence, training new tax professionals in digital methods will strengthen the foundation of the nation’s taxation system.

A Python Guide For An Excel Person

A Python Guide For An Excel Person

The most widely used programming language today, Python, has countless uses in various industries. It is the best option in terms of deployment and maintenance, thanks to its dynamic and flexible capabilities. MS Excel is one of the well-known Microsoft programs that functions like a spreadsheet and is used to store and analyze numerical data. 

It was among the first tools businesses worldwide used to evaluate data and draw conclusions. The phrase “conventional BI tool” is also used to describe it. You may easily transmit data from any source to any destination by using Python Excel Automation. 

Using Excel and Python for Data Science

In the year 1987, Microsoft created the spreadsheet program known as Excel. Almost all operating systems, including Windows, Android, etc., formally support it. It already has the Windows OS pre-installed and is simple to connect with other systems. Microsoft Excel is the most powerful and widely used application for working with structured data. 

Your data is arranged, processed, and stored in a tabular row-column format. Calculations, pivot tables, graphs, and much more are all possible! Since its introduction, this program has grown in popularity and is used extensively around the globe in various application sectors and domains. 

How Can Python Automate an Excel Spreadsheet?

Step 1: Analyze the datasheet 

Analyzing the Dataset is the first stage in Python Excel Automation. This lesson makes use of a sales dataset.

Step 2: Using Pandas to create pivot tables

Designing pivot tables is the next step in Python Excel Automation. Pandas often read an excel file, which generates the pivot table and exports it to Excel. Then, you can create charts and spreadsheets in Python and write Excel formulae using the Openpyxl module.

Step 3: Using Openpyxl to design the Reports

Designing the reports is the next phase in Python Excel Automation. You must use the “load workbook” function from Openpyxl to create the report, and you can save using the “.save()” method.

Step 4: Using Python to automate the report

The automation of your report is the next Python Excel Automation step. To make it simple to automate the report, you may write all the code in a single function. 

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