Investors Careers Contact Us
Coforge
AI Capabilities + Industries + Resources + Who We Are +
Start the Conversation

Capabilities

Engineering Enterprise Platforms: Pega Data Enterprise Platforms: Appian Cloud Enterprise Platforms: Salesforce Quality Engineering Enterprise Platforms: ERP AI-Led Business Process Solutions Enterprise Platforms: MuleSoft Experience Global Capability Centers

Industries

See All
Banking & Financial Services
Insurance
Travel
Healthcare & Life Sciences
Public Sector
Hi-Tech
Telecom, Media, Automotive, and Energy
Retail, Consumer Packaged Goods (CPG), and Hospitality

Resources

Case Studies Conversation with Pathbreakers Blogs White Papers Tech PoV and Insights

Resources

Case Studies
Conversation with Pathbreakers
Blogs
White Papers
Tech PoV and Insights

Who We Are

About Us Newsroom Leadership Partners Locations Careers Awards & Recognitions ESG Learn more about Coforge
Coforge: Where AI engineering meets industry expertise.

Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.

Learn more about Coforge
Composable Enterprise

Main

AI

Industries

See All
Banking & Financial Services
Insurance
Travel
Healthcare & Life Sciences
Public Sector
Hi-Tech
Telecom, Media, Automotive, and Energy
Retail, Consumer Packaged Goods (CPG), and Hospitality

Capabilities

Engineering Enterprise Platforms: Pega Data Enterprise Platforms: Appian Cloud Enterprise Platforms: Salesforce Quality Engineering Enterprise Platforms: ERP AI-Led Business Process Solutions Enterprise Platforms: MuleSoft Experience Global Capability Centers

Who We Are

About Us Newsroom Leadership Partners Locations Careers Awards & Recognitions ESG Learn more about Coforge
Coforge: Where AI engineering meets industry expertise.

Learn about our company, our vision and values, and the 45,000+ professionals enabling businesses to harness the power of AI.

Learn more about Coforge
Composable Enterprise

Resources

Case Studies Conversation with Pathbreakers Blogs White Papers Tech PoV and Insights

Resources

Case Studies
Conversation with Pathbreakers
Blogs
White Papers
Tech PoV and Insights

Coforge Data Cosmos™: AI-Enabled Data and Analytics Platform

One architecture, one team, one transformation, not three parallel programmes blocking each other.

The Problem

 

"We have a cloud migration in one workstream, an analytics build-out in another, and an AI initiative in a third, and they're all blocked on each other. The data foundation the AI team needs doesn't exist because the migration hasn’t been done. The migration is slow because analytics requirements keep shifting. And the total cost of three parallel programmes is difficult to justify."

 

 

 

What Data Cosmos Does

Modern Data Engineering
Builds pipelines, architecture, and data products with the analytics and AI end-state already in scope, so downstream workstreams don't have to retrofit.
Cloud Modernization
Migration executed with the data layer as a first-class concern, not a separate workstream addressed 18 months later.
Advanced Analytics
Analytical capabilities built on the modernized estate, delivering faster time to insight without waiting for a separate analytics programme to complete.
AI-Driven Insights
Insights surfaced at the point of decision, not in a dashboard that requires someone to remember to open it.

How Data Cosmos Makes an Impact

 

Three programmes that were blocking each other become one programme that builds on itself. Time to first analytical value compresses. The total cost of the data estate falls as duplicate effort is consolidated. AI workloads have the foundation they need, not 18 months later.

The Core Principle

 

Data transformation is a single architecture decision, not three sequential projects with three separate scope definitions and three separate budgets.

 

 

 

How To Tell if Data Cosmos is the Right Solution

AI is blocked on data readiness
AI initiatives can't progress because the data foundation is owned by a different workstream that hasn't delivered yet.
Cloud migration underdelivering
Migration completed, but analytics and AI benefits haven't materialized because data wasn't rearchitected in the process.
Escalating data program costs
Multiple data-adjacent workstreams running in parallel, duplicating effort, competing for resources, and incurring a combined cost that is difficult to defend.