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LatentView Analytics
LatentView Analytics has been helping enterprises make smarter, data-driven decisions for nearly 20 years. Founded in 2006 by Venkat Viswanathan and Pramad Jandhyala, the company has grown into one of the world’s leading digital analytics firms — and became the first analytics company in India to go public in 2021.
LatentView brings deep expertise in end-to-end data engineering, business analytics, GenAI, and predictive modeling to 30+ Fortune 500 clients across tech, retail, financial services, and CPG. The company’s work spans everything from AI-powered sales forecasting and customer lifetime value modeling to large-scale data platform builds and GenAI implementation.
A publicly traded company serving the US, India, Canada, Europe, and Singapore, LatentView has been recognized in Forrester’s Customer Analytics Service Providers Landscape and among India’s Best Workplaces for Millennials. In 2024, the company expanded its capabilities through the acquisition of Decision Point Analytics, adding Revenue Growth Management and GenAI product solutions to its portfolio.
LatentView’s insights are shaped by real client engagements across industries — from building ML frameworks for telecom network reliability to developing guest lifetime value models for leading cruise lines. The perspectives shared on this blog draw from that hands-on experience working at the intersection of data, AI, and business strategy.
Learn more at latentview.com.
Blogs
Data Engineering in Manufacturing: Uses, Benefits & Trends
This guide helps VP of Operations, Plant Heads, and CDOs build unified, real-time data pipelines across discrete manufacturing, process manufacturing,
Data Engineering in Financial Services: Use Cases & Benefits
This guide helps Chief Data Officers, Heads of Data Engineering, and financial services technology leaders build compliant, real-time, and AI-ready
Data Engineering in CPG: Use Cases, Benefits & Implementation
This guide helps CPG commercial leaders, supply chain heads, and analytics decision-makers understand how data engineering closes the gap between
Data Engineering in Retail: Use Cases, Benefits & Workings
This guide helps retail CDOs and analytics leaders understand what data engineering does, where it applies, and where it breaks
How CPG Brands Can Succeed with DTC Strategy?
CPG brands that invest in DTC models will build direct relationships with customers and foster loyalty.
How Does Customer Behavior Influence CPG Online Channels?
Over the past year, online channels contributed to nearly 70% of overall CPG growth.
GenAI in Data Analytics: Use Cases, ROI & Strategy
This guide helps enterprise leaders understand how GenAI in data analytics drives production-ready insights. Explore high-ROI use cases, data readiness
Applications of Artificial Intelligence(AI) in Business: Real-World Use Cases
Key Takeaways Integration of AI across business functions helps streamline operations, improve decision-making, and personalize customer experiences. Using AI across
The Impact of Data Quality on Business Growth
This guide helps businesses understand how data quality impacts growth, customer satisfaction, and revenue. High-quality data enables data-driven decisions, reduces
Marketing Synergy: Integration of Marketing Analytics & Marketing Automation
This guide helps enterprises create marketing synergy by showing how the integration of marketing analytics and marketing automation enables data-driven
Glossaries
Predictive Analytics
Predictive analytics is a branch of advanced analytics that uses
Network Analytics
Network analytics is the process of collecting, analyzing, and interpreting
Data Mining
This guide helps you understand What is Data Mining, the
