Data analytics to help income tax dept catch evaders (2024)

New Delhi: The income tax department is poised to embark on a massive data project to track those who laundered their money in the just-concluded demonetisation of high-value currencies.

The taxman’s big data moment involves matching the permanent account numbers (PAN) of depositors with information in various databases and isolating deposits with a common address, mobile number, email address, bank branch and business relationships.

The scrutiny will extend to joint owners of property, bank accounts or mutual funds, partners in a firm or directors and even employees in a company to check whether they acted in concert to evade taxes.

ALSO READ: Bill prohibiting possession of scrapped currency notes passed in Lok Sabha

Never before has the tax department attempted an exercise of this scale. If successful, the income tax department would not only have nabbed those who violated the law but also served a potent deterrent.

The tax department suspects tax evaders managed to legalize their unaccounted money using mules and proxies to make deposits, made high-value purchases using back-dated bills and colluded with bank officials to exchange old currency. It also suspects many companies used their employees to make cash deposits in their bank accounts.

A substantial portion of the Rs15.4 trillion of cancelled Rs500 and Rs1,000 notes is estimated to have returned to the banking system, belying initial expectations in government circles of a sum of some magnitude not returning.

But depositors weren’t just depositing cash; they were also providing data.

The tax department is now in possession of huge volumes of data from banks about cash deposits in various accounts.

ALSO READ: Modi Lok Sabha speech highlights: PM talks on demonetisation, Congress calls speech arrogant

The tax department has identified 10.9 million accounts where deposits ranging from Rs2-80 lakh were made, with average deposit size being Rs5.03 lakh. And around 148,000 accounts received deposits of more than Rs80 lakh, with the average deposit size being Rs3.31 crore, according to figures given by the government in the finance bill.

Of these, the tax department has so far identified 1.8 million taxpayers, based on glaring mismatches in cash deposits and tax returns. It has sent them emails and messages seeking an explanation.

To assist it in the deep dive into the mass of data, the income tax department is in the process of engaging the services of data analytics providers to look for linkages in cash deposits.

The focus will be on grouping data based on any linkages or relationships. So, in the case of firms, the focus will be on the company’s directors, employees and addresses of all its offices. For individuals, the groupings will be based on common addresses, mobile numbers, email IDs and joint ownership of assets, bank accounts and investments.

ALSO READ: Multiple measures in Union budget to tackle tax evasion

The analytics exercise will also collate data from various existing databases of the tax department—information about tax deducted at source, third-party reporting, tax payments and tax returns. Taxpayers will also be segmented on the basis of the type of tax return form used, nature of business and age of the individuals. “The tax department has received complaints from individuals who were forced to make such deposits by their employers. But data analytics will help us establish more connections," said a government official who asked not to be identified.

M.C. Joshi, former chairman of the Central Board of Direct Taxes, said data analytics would help the tax department sift through voluminous amounts of data and establish linkages that could establish tax evasion patterns but added that this could take time. “The tax department is likely to pursue only very large cash deposits to ensure it puts to good use its limited manpower."

Unlock a world of Benefits! From insightful newsletters to real-time stock tracking, breaking news and a personalized newsfeed – it's all here, just a click away! Login Now!

Related Premium Stories

Data analytics to help income tax dept catch evaders (1)

Electoral bonds: The curious case of Madanlal Ltd’s donations

Data analytics to help income tax dept catch evaders (2)

History of Lok Sabha polls in numbers: More women in fray, fewer independent MPs

Data analytics to help income tax dept catch evaders (3)

Mint Explainer: What’s behind Maldives’ new defence pact with China

Data analytics to help income tax dept catch evaders (4)

Mint Explainer: What’s at stake during America’s Super Tuesday primary polls

Data analytics to help income tax dept catch evaders (5)

Mint Explainer: How Indian volunteers ended up fighting for Russia

Data analytics to help income tax dept catch evaders (6)

Indian politics is becoming increasingly partisan. We have the data to prove it.

Data analytics to help income tax dept catch evaders (7)

The onion peel that promises a sugar high

Data analytics to help income tax dept catch evaders (8)

A decade of flip-flops on farmers’ issues despite full-majority government

Data analytics to help income tax dept catch evaders (9)

‘Revdi’ or genuine welfare? India gives its verdict

Data analytics to help income tax dept catch evaders (10)

Mint Explainer: Loss-making firms' political donations in focus post SC ruling

Explore Premium

Catch all the Politics News and Updates on Live Mint. Download The Mint News App to get Daily Market Updates & Live Business News.

MoreLess

Published: 08 Feb 2017, 12:46 AM IST

Data analytics to help income tax dept catch evaders (2024)
Top Articles
Latest Posts
Article information

Author: Dong Thiel

Last Updated:

Views: 5496

Rating: 4.9 / 5 (59 voted)

Reviews: 82% of readers found this page helpful

Author information

Name: Dong Thiel

Birthday: 2001-07-14

Address: 2865 Kasha Unions, West Corrinne, AK 05708-1071

Phone: +3512198379449

Job: Design Planner

Hobby: Graffiti, Foreign language learning, Gambling, Metalworking, Rowing, Sculling, Sewing

Introduction: My name is Dong Thiel, I am a brainy, happy, tasty, lively, splendid, talented, cooperative person who loves writing and wants to share my knowledge and understanding with you.