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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
Healthcare Data Migration: What Every Health System Needs to Get Right
Migrating healthcare data from legacy EHR systems to modern platforms follows three phases: assessment and planning, data cleansing with clinical
Text Classification Applications and Real-World Use Cases
Text classification is the automated process of sorting unstructured text into predefined labels or categories using NLP. Core use cases
BrickShift: Accelerating BI Migration to Databricks for the Genie Era
Migrating BI workloads to Databricks moves data models, metrics, and dashboards to native tools like AI/BI Dashboards, Unity Catalog, and
Demand Forecasting in Supply Chain: Methods, Types & Practices
Demand forecasting in the supply chain predicts future customer demand using historical sales, market trends, and statistical models. Key methods
Data Management in Financial Services: How Leading Organizations Drive Value
This guide is for the leaders accountable for data management in financial services: heads of data, risk, platform, and compliance,
Data Migration in Banking: Use Cases, Challenges and Best Practices
This guide helps CDOs, CTOs, and technology leaders at banks and credit unions understand what data migration in banking involves,
Is Subscription Economy the Future of Gaming?
The gaming subscription economy is a multi-billion dollar market driven by platforms like Xbox Game Pass, PlayStation Plus, and live-service
Data Security in Financial Services: Core Protection Strategies and Best Practices
This guide is for CISOs, CDOs, and security and data leaders at banks, insurers, and capital-markets firms. It covers what
Data Governance in Financial Services: Framework & Rules for 2026
If you lead data or risk at a bank, insurer, or capital-markets firm, you already know governance isn’t a documentation
VizIQ: How to Audit, Consolidate, and Govern Your BI Estate
Most enterprises have accumulated hundreds of reports, dozens of duplicate datasets, and layers of inconsistent KPIs across their BI environments.
