Turn Data Into Decisions. Faster.
Build trusted data foundations, intelligent dashboards, and AI-powered analytics — to see performance, predict outcomes, and act with confidence across every business function.
Data is everywhere. Decisions are still slow.
Fragmented Data
Multiple systems, multiple versions, no single source of truth — making every reporting cycle a reconciliation exercise.
Manual Reporting
Excel-heavy, resource-intensive reporting slows decision cycles, increases error risk, and keeps analysts busy instead of strategic.
Delayed Visibility
Business teams need real-time performance insights — not static reports that are already outdated by the time they're distributed.
Inconsistent KPIs
Different teams interpreting performance differently creates conflicting views, erodes trust in data, and slows alignment.
One intelligence layer for enterprise decision-making.
Data Ops & Engineering
Data architecture, integration, quality, governance, big data processing, and data lake and warehouse enablement.
Dashboard & Reporting Services
Enterprise BI modernization, visualization, self-service analytics, role-based reporting, and CXO dashboards.
Analytics as a Service
Operations, customer, risk, fraud, and industry analytics delivered through reusable, pre-built solution models.
AI/ML & Predictive Intelligence
Forecasting, predictive modelling, optimization, simulation, and recommendation-led insights integrated into operational workflows.
Digital Command Centre
Real-time visibility across business units, KPIs, process bottlenecks, action tracking, and leadership decision loops.
Industry Analytics Solutions
Pre-built analytics for BFSI, insurance, retail, telecom, utilities, government, and large enterprise operations.A structured path from raw data to operationalized intelligence.
Built for enterprise analytics at scale.
Analytics Associates
Specialized Data Scientists
Enterprise Customers
Projects Delivered
Reports Built and Deployed
KPIs Defined and Governed
Visualizations Delivered
Rapid Deployment Model
From descriptive reporting to prescriptive action.
End-to-End Coverage
From data architecture and engineering through BI modernization, AI/ML, and command-centre deployment — one partner for the full analytics stack.
Technology Agnostic
Seamless integration across Azure, Oracle, AWS, Google Cloud, and on-premise environments — no platform lock-in.
AI-Ready Data Foundation
Data governance, quality, and architecture designed to support ML, forecasting, and decision automation — not just retrospective reporting.
Speed to Value
Pre-built accelerators, reusable KPI libraries, and a structured implementation methodology enabling rapid analytics deployment.
Domain Depth
Deep analytics expertise across BFSI, insurance, public sector, retail, telecom, and utilities — with industry-specific accelerators built in.
Centralized Cost Efficiency
Global support team and resource-pool model reduce TCO versus fragmented, point-solution analytics investments.
Make every decision data-backed.
3i Infotech’s Analytics as a Service practice is built around trusted data, governed intelligence, and outcome-linked analytics delivery — moving enterprises from lagging reporting to leading indicators.
Single Version of Truth
Trusted, governed data across business and technology systems — eliminating conflicting KPIs and reconciliation overhead.
Faster Reporting
Automated pipelines and self-service analytics replace manual Excel-heavy cycles — making information available on demand.
Smarter Decisions
Move from descriptive reporting to predictive and prescriptive analytics — aligned to business outcomes, not just historical trends.
Real-Time Visibility
Track KPIs, risks, trends, and operational signals as they happen — with command-centre dashboards and automated alerts.
Self-Service Intelligence
Enable business users to explore insights without IT dependency — reducing time-to-answer and improving analytical agility.
AI-Ready Data Foundation
Data architecture and governance designed to support ML, forecasting, and decision automation — as analytics maturity grows.
What buyers and search engines ask about Analytics as a Service.
Analytics as a Service is a managed analytics delivery model that combines data engineering, business intelligence, visualization, AI/ML, and decision intelligence into a single, scalable engagement. Rather than managing disparate tools, platforms, and analytics teams internally, enterprises access a governed, end-to-end analytics capability as a service — with pre-built accelerators, defined KPIs, and operational support included. 3i Infotech’s AaaS model covers the full spectrum from raw data unification through to predictive and prescriptive intelligence.
A Single Version of Truth means that every business unit, report, and dashboard draws from the same governed, quality-assured data source — eliminating conflicting metrics, reconciliation overhead, and the analytical paralysis caused by fragmented data environments. 3i Infotech delivers SVOT through centralized data lake and warehouse architecture, automated ETL integration, data quality governance, and a unified BI layer that ensures consistent KPI definitions across the enterprise.
3i Infotech’s analytics accelerator portfolio includes: Momenta+ BI & Reporting (ready-to-deploy dashboards, KPI libraries, and visualization frameworks); CXO Cockpit (AI-driven leadership decision intelligence and real-time monitoring); Customer Value Management (segmentation, churn, propensity, and recommendation analytics); Fraud Analytics (AI/ML-based detection, risk profiling, and fraud control dashboards); Digital Command Centre (cross-LoB performance monitoring); and Industry Cockpits (pre-built solutions for lending, insurance, retail, trading, and utilities).
3i Infotech’s analytics practice serves BFSI (banking, lending, credit unions, asset management), insurance, public sector and government, healthcare, retail, telecom, utilities, and large enterprise operations. The practice has delivered 50+ projects across these verticals, with particular depth in BFSI fraud analytics, public sector reporting, and financial services BI modernization.
3i Infotech integrates AI/ML across several analytics use cases: fraud detection using deep learning models (healthcare and BFSI); predictive forecasting for operational and financial planning; customer propensity and churn modelling; recommendation engine analytics; and optimization simulations. AI/ML is applied through the CXO Cockpit and Customer Value Management accelerators, and through bespoke ML Ops implementations for clients requiring integrated predictive workflows.
3i Infotech’s analytics practice is technology-agnostic — working across Azure (data lakes, warehouses, BI), Oracle, AWS, Google Cloud, and on-premise environments. The practice integrates with Power BI, Tableau, Qlik, SAP SAC, and other leading visualization platforms. Reusable metadata frameworks and pre-defined KPI libraries enable faster deployment regardless of the underlying technology stack.
3i Infotech’s structured implementation methodology supports rapid deployment — with a 12-week model for core analytics builds covering data architecture, pipeline development, dashboard delivery, and initial KPI governance. More complex programmes involving AI/ML model development, enterprise-wide data lake implementation, or multi-system integration may require extended timelines, which are scoped during the discovery and planning phase.