Vinod “Vin” Gupta is an American businessman, born in India in 1946. After recognizing the market niche in the business-to-business information, he was able to convert a $100 bank loan into a $680 million company. The company was initially known as American Business Information, and was later renamed to InfoUSA, and then to InfoGroup. In his career life, Vinod has dedicated himself to providing employment opportunities to underserved people.
Vin Gupta is a known philanthropist and provides wide-ranging resources through his charitable courses. Following his graduation from the University of Nebraska, he began his career at the Commodore Corporation, a firm dealing with the manufacture of mobile homes as a Market Research Analyst. American Business Information was formed as a result of an idea that cropped up during his role at the Commodore Corporation. With the continued growth of the business, InfoGroup has seen the acquisition of numerous companies.
Through Vin Gupta’s vast experience in operations, Vin Gupta invested in Everest Group, a company created to continue to explore into the database technology sector on a worldwide level. Everest Group has seen an upward growth trend having acquired numerous companies in sectors such as background checks, digital printing, operations platforms, and other market gaps in the information technology sector. According to Gupta, devoting the amount of time required to work on the other companies successfully, he needs the certainty that daily operations run smoothly without his direct input. Visit This Page for related information.
Vin entrusts his day-to-day operations to his team as he focuses on long-term goals. According to Vinod Gupta, most entrepreneurs become overconfident in their ideas, products or services, and ignore the importance of initial market research which leads to the failure of businesses making ideas obsolete. Vin Gupta attests that the use of artificial intelligence will open up a bigger market within location-based applications, and the investments will be in a position to make decisions using the database more automatically.