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Best Entrepreneurs to Watch 2023

Naveen Jain, CEO of TransOrg Analytics: A seasoned veteran with over two decades of experience building world-class companies that drive value and change the face of technology

Naveen Jain, CEO of TransOrg Analytics: A seasoned veteran with over two decades of experience building world-class companies that drive value and change the face of technology

Google, Facebook, Twitter, Netflix, and Amazon have many things in common, and the use of data science is one of them. They have understood the importance of data science. They are using defined processes to collect and analyze information about their users to offer them a more personalized experience and remain at the top in their respective businesses. While it is true that technology continues to produce unprecedented advancements at a rapid pace, digital transformation can only deliver its full potential if we harness the power of the data it brings. Today, 90% of business leaders cite data as one of the key resources and a fundamental distinguishing factor for companies, at par with basic resources such as land, labor, and capital. It is crucial that companies that want to make the best out of business data understand the importance of data science, have a data scientist on the team to customize algorithms, make the most of the data, and make data-centric decisions. Since data scientists have a deep understanding of data, they work very well to lead organizations toward achieving data-driven goals.

TransOrg Analytics is an award-winning specialist data science company which leverages machine learning and artificial intelligence to drive business growth. It believes in solving real business problems with measurable success with a motto to democratize access to analytics across an enterprise with the ease of automated machine learning solutions on the cloud. The company is recognized as one of the top data science service providers in India for 2021 by Analytics India Magazine. The firm offers analytics solutions and services in the areas of customer engagement, marketing and risk management with clients across industries such as banking & financial services, insurance, retail, consumer goods, healthcare, telecom, travel, and hospitality.

Providing Robust Data Science and Analytics Platform

Digital Analytics: Companies use multiple media channels and promotions such as TV, radio, internet, mobile and print advertising as well as price discounts, coupons and bundled offerings. A complex mix of own actions, competitors’ actions, regulatory changes and market events affect a product’s performance. The challenge lies in correctly separating the effects of marketing activities from all the above components. With the growing usage of Multi-channel Communication and Advertising, Conventional Analytics no longer offers an in-depth and astute picture. To keep pace in this modern era, with the changing digital and social media landscape, they have developed Advanced Analytics for building response and optimization models.

Demand Forecasting: Organizations worldwide are finding it challenging to accurately forecast demand for their products and services, which results in wastage of time and money in production and delivery, frequent stockouts and lost sales. TransOrg has developed a powerful demand forecasting solution on Amazon Forecast technology that provides accurate sales predictions, insights on sales trends and granular demand predictions at SKU and store level

Customer Analytics: TransOrg provides a comprehensive suite of marketing and customer analytics solutions through advanced quantitative, statistical analytics and big data tools to deploy tailored marketing programs that are centered on fulfilling customer needs while also contributing towards revenues and profitability. Collection analytics aids to analyzing customer’s personal information, account and transactional data and behavior pattern, which in turn helps to segment the accounts having high probability of losses. A collection strategy is a way to reduce delinquencies and mitigate losses allowing businesses to maximize their accounts receivable recovery. The objective is to create the collections strategy for different segments of customers who had failed to clear their payments.

Anomaly Detection: Banking Fraud has been an ever-growing issue with huge consequences to banks and customers alike, both in terms of financial losses, trust, and credibility. Also, with the technological disruptions in both banking and payments sector, it is essential to detect new threats and mitigate risks and frauds. TransOrg offers solutions to identify anomalies at transactions, accounts and merchant levels using various complex modeling algorithms.

Trade Promotion Optimization: CPG companies spend heavily on trade promotions but struggle to achieve optimum return on investment which heavily impacts the sales and revenue. Consumer goods companies adopt a variety of tactics for their promotions as part of their trade spending and it is becoming necessity to differentiate between poorly performing promotions and profitable ones by leveraging data analytics. Its trade promotion management and optimization solution identify which historical promotions have provided a positive ROI, leveraging that data to recommend future promotions that are the best fit for each product/market/customer or other defining factors.

The Visionary Leader Upfront

Naveen Jain is the Chief Executive Officer of TransOrg Analytics. He has over 25 years of diverse experience across functions including marketing analytics, business & product development, consulting, operations, finance and investment banking. Naveen has spent most of his career with American Express. In his last role as Vice President with American Express, Naveen was leading a marketing analytics team of 100 people who were working with 20+ international markets.

Naveen holds a Bachelor’s degree from Delhi College of Engineering and MBA from IMT, Ghaziabad.

"Enabling its people and preserving its culture is core to TransOrg and what makes it a great place to work for aspiring and practicing data scientists, data engineers, analysts and visualization experts."


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