Mumbai The initial public offering (IPO) of Latentview Analytics Ltd., a global digital analytics firm, will open for subscription on November 9 and close on November 11. The firm plans to list on November 22.
IPO involves a new issue ₹474 crore and offer for sale ₹126 crore by its existing shareholders and promoters.
OFS includes up to ₹60.15 cr, by Adugudi Viswanathan Venkataraman ₹23.52 cr, by Gopinath Koteswaran ₹35 crores, by Ramesh Hariharan ₹3.87 crores by Subramaniam Ramachandran, up to ₹1.19 cr, by Divya Balakrishnan ₹1.15 crores by Rajkumar Kaliaperumal, and up to ₹73.50 lakhs by Priya Balakrishnan.
Axis Capital, ICICI Securities and Haitong Securities India are the principal managers of the issue.
Proceeds from issue worth ₹147.90 crore will be used to finance inorganic development initiatives; ₹82.40 crore will be used to finance the working capital requirements of its content arm LatentView Analytics Corp and ₹130 crores for investment in its branch to increase its capital base for future growth.
The firm is one of the leading pure data analytics companies in India and has emerged as one of the most trusted partners for many Fortune 500 companies in recent years. It primarily provides services to companies in the Technology, CPG and Retail, Industrial and BFSI industries. It has a diverse client base of 45 active customers worldwide, which it served in FY 2011, including 21 out of the Fortune 500, three of the Fortune 1000.
The firm designs and engineers results-oriented analytics solutions for its clients that enable them to operate more efficiently by predicting results that drive digital transformation and sustainability. Its expertise in business analysis includes analysis in relation to customer profiling, targeted marketing, supply chain management, finance and risk management, and human resource functions.
For FY21, its total income was ₹326.71 crore against ₹329.67 crore a year ago. Net profit for the year was ₹91.46 crore vs. ₹72.85 crore last year.
The firm categorizes its business into consulting services (this includes understanding relevant business trends, challenges and opportunities and creating a roadmap of data and analytics initiatives that address them); data engineering (this is done to design, architect and implement the data foundations needed to perform this analysis); business analysis (it provides analysis and insights to clients to make more accurate, timely and effective decisions); and digital solutions (it develops to automate business processes, predict trends and generate actionable insights).
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