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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
Predictive Analytics for Inventory Optimization: Reducing Stockouts and Carrying Costs with Machine Learning
Your CFO sees $40 million in inventory and asks why it is not $30 million. Your VP of sales sees
Predictive Analytics for Demand Forecasting: An Enterprise Guide to AI-Driven Forecast Accuracy
Last quarter your demand plan called for 12,000 units. POS came in at 15,200. The gap showed up as emergency
Predictive Lead Scoring for ABM: A Practical Guide to Prioritizing Target Accounts
Your target account list has 500 names on it. Your SDR team can meaningfully work 80 this quarter. The question
Predictive Analytics for Customer Segmentation: The Enterprise Guide to Behavior-Based Segments
A “high-income urban millennial” segment tells you what someone looks like. It does not tell you that this particular customer
Customer Lifetime Value Prediction with RFM: The Enterprise Guide to Forecasting Customer Value
Two customers each spent $200 last quarter. One bought twice a week for three months. The other made a single
Predictive Analytics for Patient Risk Stratification: How Health Systems Identify High-Risk Patients
Roughly 5% of patients drive half of all healthcare spending. Every health system and payer knows this. The harder question
Claims Processing Automation In Insurance: How AI and Analytics Are Transforming the Claims Lifecycle
Your claims team is triaging the same way it did five years ago, but policyholders are not waiting the same
Data Governance In CPG: Frameworks and Use Cases
A category manager pulls last week’s sales for one SKU. Syndicated data says 41,200 units. The retailer’s point-of-sale feed says
Account-Based Marketing Analytics: Which Metrics Matter and How to Prove ABM ROI
A demand generation team runs an ABM programme against 180 named accounts. Twelve close. The attribution platform reports which channels
Customer Analytics in Technology: How to Turn Product Usage Data Into Renewal Signals
A technology company knows more about its customers than almost any other kind of business. Every session, every feature click,
Glossaries
Pricing Analytics
Pricing analytics helps companies stop leaving money on the table
Predictive Lead Scoring
Predictive lead scoring helps marketing and sales teams rank incoming
Market Basket Analysis
Market Basket Analysis helps retailers and analytics teams uncover which
Incrementality Testing
Incrementality testing helps marketers measure the real lift of a
Directed Acyclic Graph (DAG)
A Directed Acyclic Graph (DAG) is a modeling tool consisting
Marketing Personalization
Marketing personalization helps brands increase engagement, conversion rates and customer
Autonomous Agents
Autonomous agents help enterprises automate complex multi-step workflows by perceiving
Revenue Cycle Management (RCM)
Revenue cycle management helps healthcare organizations capture every dollar earned
Quantum AI
Quantum AI helps organizations solve computational problems that classical AI
