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LatentView Analytics
LatentView Analytics has been helping enterprises make smarter, data-driven decisions for 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 50+ 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
Churn Analytics in Banking: Measuring Attrition Before the Account Closes
Most published work on bank churn is built on a ten-thousand-row sample dataset where customers either stayed or closed their
Marketing Mix Modeling in Life Sciences: When the Model Stops Being Enough
You have a model. It refreshes twice a year, reports at national level, and at some point two teams working
Marketing Mix Modeling in Pharma: How Commercial Teams Measure Promotion Against Script Volume
Your largest line item is a field force, your outcome is a prescription you never directly observe, and your spend
Marketing Measurement for Industrials: Challenges, Metrics & Attribution
Marketing measurement for industrials means connecting campaign investment to quote requests, account engagement, and booked orders across buying cycles that
Marketing Measurement for Financial Services: Frameworks, KPIs & Compliance
Marketing measurement for financial services means tying campaign investment to funded balances, assets, and retained relationships, under rules that limit
Marketing Measurement in Insurance: Strategies for Carrier Marketing Leaders
Marketing measurement in insurance means tying acquisition spend to the multi-year profitability of the policies it produces, including the claims
Marketing Measurement in Retail: How Enterprise Retailers Prove Incremental Impact
Marketing measurement in retail means proving which share of sales advertising actually caused, across physical stores and digital channels, rather
AI Dashboard Wireframing: What Analytics Leaders Ask About VizAI
TL;DR VizAI refers to a LatentView’s multi-agent AI system that automatically generates working dashboard wireframes for Power BI, Tableau, and
Data Modernization in Insurance: How Carriers Are Moving From Legacy Systems to AI-Ready Data Infrastructure
This guide is written for CDOs, CTOs, CIOs, and VPs of Data and Analytics at P&C carriers, life insurers, health
Data Governance in Healthcare: Frameworks & High-Value Use Cases In 2026
Healthcare organizations hold more patient data than ever, scattered across dozens of clinical and administrative systems. Much of it is
