Tiger Analytics specializes in building AI and data science solutions that enable enterprises to generate business value from data. The company brings deep expertise in marketing science, customer analytics, operations analytics, and risk analytics, and are a trusted partner for several Fortune 500 companies. Tiger Analytics is headquartered in the Silicon Valley with their global delivery center in Chennai, India.
Journey Started at the Inception Point of Data Wave
At the start of this century, analytics dealt with clean and structured data to provide specific predefined business insights. Over time, cheap storage, a variety of sensors, and improved technologies & algorithms made it possible to collect and process more data from both structured and unstructured sources (such as text, speech, audio, images, video).
Tiger Analytics realized that enterprises were not in a position to fully capitalize on this new wave of analytics and was built on the foundation of this new wave, to help companies unlock deeper value from data. Today, they work with several enterprises looking for AI powered systems that have a great degree of decision-making autonomy.
Leaders with Unmatched Industry Knowledge
Mahesh Kumar, Founder & CEO started Tiger Analytics with a desire to bring his experience in management science to help organizations achieve superior performance. Before founding Tiger Analytics, Mahesh taught data analytics at MIT Sloan, University of Maryland Smith School of Business, and Rutgers Business School.
He has conducted research in the areas of data mining and statistical modeling and has successfully applied his research to solve problems related to forecasting, pricing, promotions, and customer segmentation for a wide range of businesses across various verticals. Mahesh holds a Ph.D. from MIT, and a B.Tech from IIT Bombay.
Pradeep Gulipalli is the Co-Founder of Tiger Analytics and currently heads the team in India. Over the last decade, he has worked with clients at Fortune 100 companies and start-ups alike to enable scientific decision-making in their organizations.
He has helped design analytics roadmaps and architected numerous data science solution frameworks, which include pricing, forecasting, anomaly detection, personalization, optimization, behavioural simulations, etc. Pradeep holds an MS from UT Austin and B.Tech. from IIT Madras.
Building Strong Future through Partnerships
Tiger Analytics actively engages with several tech and B-schools in India – IIT Madras, IIT Kanpur, Symbiosis, Great Lakes etc. They conduct workshops for students, have industry-academia collaboration programs, and guide research activities as well. They are an active participant in the Big Data Analytics knowledge sharing platforms/sessions of NASSCOM, IEEE, Data Science Congress, Analytics India Magazine, Analytics Vidya etc.
Tiger Analytics works with several of the world’s (and India’s) leading companies. Clients typically engage them to solve complex high impact problems, and they work with them to do just that. Today their algorithms run in key processes of several major manufacturers, retailers, insurance companies, technology giants, advertising agencies, etc.
Motivating words from a client:
“We had an extremely productive association with Tiger Analytics. They brought deep expertise in business analytics and data sciences, along with top notch professionalism. They blended seamlessly with our operations, engineering, and sales teams. They conceptualized and implemented advanced statistical frameworks on top of social media data, helping us enhance our product offerings. I would strongly recommend them for any data-oriented business problems.”
– VP Engineering, Social Media Technology Startup
Recognition Worth Striving For
Tiger Analytics has been rewarded with top honors for its contribution to the clients and the big data and analytics industry. A few of these include:
• Deloitte Technology Fast50 – Among 50 fastest growing Indian tech companies (2016, 2017)
• Recognized by Forrester as one of the top providers of Customer Analytics (2017)
• Winner of Frost & Sullivan’s Intelligent Analytics Enabling Technology Leadership Award (2017)
• Gartner’s Market Guide for Data Science and Machine Learning Providers (2017)
• Analytics India Magazine’s Best Boutique Analytics Firm of the Year (2017)
• SmartCEO Magazine’s Top 50 Indian Startups (2017)
Navigating Ups and Downs in Business
While they have seen phenomenal growth since inception, like any other company, Tiger Analytics too has faced a set of challenges. When they started, the only way to convince clients to work with them was through their founders’ credentials! They had to hire the right team, and had to convince people to believe in their vision of becoming the world’s best advanced analytics firm. Now that they have a solid client base and a pool of top data science and engineering talent in India – their next set of challenges lie in balancing growth with their core focus, while maintaining high employee and client satisfaction.
Looking at the Future
Though the adoption of data analytics at a mainstream level in businesses worldwide has taken time, it is evident that those that were ahead of the curve have reaped significant benefits. This has meant that all businesses are now taking notice, and do not want to miss the bus in the latest AI and data science wave.
The emergence of positions such as Chief Analytics Officer and Chief Data Officer indicates how seriously analytics is now being viewed at the highest level. Enterprises are understanding the need to think data-first as it is increasingly playing a critical role in determining business direction.
The time is now for all organizations to take a look at what AI can do for them, and Tiger Analytics is here to help. Tiger Analytics has consciously chosen to keep its focus on this new wave of AI and analytics that can help organizations unlock the true business value. They have perfected the mechanism of delivering AI professional services in a global delivery model and continue to customize their offerings to specific verticals and micro-verticals.
The future holds tremendous promise for applications of AI – big data and otherwise. They would definitely encourage those looking to start or switch careers into this space.