DATA & ANALYTICS
Transform Data. Accelerate Decisions.
Drive Outcomes.
Build trusted data foundations, intelligent dashboards, and AI-ready analytics. From data engineering and governance to predictive intelligence and command-centre reporting, one partner across the full data lifecycle.
The problem is not data volume. It is data trust.
3i Infotech brings data engineering, governance, BI modernization, advanced analytics, AI/ML, and command-centre dashboards into one scalable Analytics as a Service model. From raw data unification through predictive intelligence to operationalized reporting, with FinOps discipline built in.
Building trusted, governed data foundations to accelerate confident business decisions.
Accelerators built for speed-to-value.
Pre-built solution models, KPI libraries, and reporting frameworks that reduce build-from-scratch effort and shorten deployment timelines.
BI & Reporting Accelerators
READY-TO-DEPLOY BI
Ready-to-deploy dashboards, reports, KPI libraries, and visualization frameworks for enterprise BI modernization.
Customer Value Management
CUSTOMER ANALYTICS
Segmentation, profiling, propensity modelling, churn prediction, and product recommendation analytics.
Fraud Analytics
AI/ML RISK DETECTION
AI/ML-based fraud detection, trigger analysis, risk profiling, and fraud control dashboards for BFSI and healthcare.
Command Centre & Industry Cockpits
DECISION INTELLIGENCE
Unified performance monitoring across lines of business, with pre-built reporting solutions for lending, insurance, retail, trading, and utility operations.
From descriptive reporting to prescriptive action.
Analytics programmes underdeliver when dashboards arrive without foundations. We build the data quality, governance, and AI/ML pipelines that turn analytics from a reporting function into a strategic business asset, and we stay accountable for the results.
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.
Outcome-Accountable Delivery
Named data products with defined SLAs and measurable business value, not dashboard handovers.
Platform-Agnostic Advisory
Certified across Oracle, Snowflake, Databricks, Azure, BigQuery, Cloudera and AWS. We advise on fit for your problem, not on partnerships.
GenAI-Native Capability
RAG pipeline engineering, LLM context infrastructure, and AI readiness built into every engagement, not bolted on at the end.
Speed to Value
Pre-built accelerators, reusable KPI libraries, and a structured implementation methodology for rapid analytics deployment.
Domain Depth
Analytics expertise across BFSI, insurance, public sector, retail, telecom, and utilities, with industry-specific accelerators built in.
Built for enterprise analytics at scale.
Analytics Associates
0
+
Enterprise Clients
0
+
Reports Built & Deployed
0
+
KPIs Defined & Governed
0
+
Governed
Single version of truth
Automated
Faster reporting
Predictive
Smarter decisions
Real-time
Visibility
Self-service
Intelligence
Lower data run cost
25-
0
%
An integrated implementation approach transforms data architecture into governed, production-ready analytics and actionable dashboards.
Platform-agnostic foundations. AI-ready by design.
▣ Oracle
▣ Informatica
▣ Snowflake
▣ Databricks
▣ Azure Fabric
▣ BigQuery
▣ Cloudera, AWS Redshift
▣ Power BI / Tableau / Qlik
▣ GenAI & RAG
▣ MLOps
We design architecture for the problem, not for the platform, working across Oracle, Informatica, Snowflake, Databricks, Microsoft Azure Fabric, Google BigQuery, Cloudera, AWS Redshift, and on-premise environments. Reusable metadata frameworks and pre-defined KPI libraries speed deployment on any stack. GenAI-native engineering, including RAG pipelines and LLM context infrastructure, builds AI readiness into every engagement.
In production. Across sectors. From data lake to decision.
An integrated implementation approach transforms data architecture into governed, production-ready analytics and actionable dashboards.
Extend the data lifecycle with connected CoEs and products.
Application Engineering
Application development, modernization, and support for the systems that generate and consume enterprise data.
Know More
Quality Engineering
Testing, automation, and quality assurance services, including the data validation modern platforms depend on.
Know More
Intelligent Automation
RPA and business-process automation for the workflow opportunities analytics surfaces.
Know More
Enterprise Applications
SAP, Oracle, and enterprise platform services for the core systems data programmes integrate with.
Know More
Hybrid Cloud Infrastructure Services
Managed cloud and infrastructure operations beneath governed data platforms.
Know More
NuRe EnGRC
3i Infotech's governance, risk, and compliance platform, relevant where data controls meet regulatory reporting.
Know MoreCommon questions about Data & Analytics.
What is Analytics as a Service (AaaS)?
Analytics as a Service is a managed analytics delivery model combining data engineering, business intelligence, visualization, AI/ML, and decision intelligence in a single, scalable engagement. Instead of managing disparate tools and teams internally, enterprises access a governed, end-to-end analytics capability as a service, with pre-built accelerators, defined KPIs, and operational support included.
What is a Single Version of Truth and how is it delivered?
A Single Version of Truth means every business unit, report, and dashboard draws from the same governed, quality-assured data source, eliminating conflicting metrics and reconciliation overhead. It is delivered through centralized data lake and warehouse architecture, automated integration, data quality governance, and a unified BI layer with consistent KPI definitions.
What data and analytics services does 3i Infotech provide?
Data engineering and data warehousing services, data quality and governance, master data management, BI modernization and visualisation, advanced analytics, AI/ML and GenAI data engineering, digital command centres, and cloud data platform FinOps. Delivery spans consulting, implementation, and managed analytics operations.
How does 3i Infotech make data AI-ready?
By engineering the foundations AI depends on: feature stores, RAG pipelines, LLM context layers, and MLOps for production deployment. For AI programmes already underway, the CoE diagnoses what is blocking progress, often quality, lineage, or fragmentation issues, and fixes it at the source.
What analytics accelerators does 3i Infotech offer?
The accelerator portfolio includes BI and reporting accelerators with ready-to-deploy dashboards and KPI libraries, customer value management analytics, AI/ML-based fraud analytics, digital command centres for cross-business monitoring, and industry cockpits for lending, insurance, retail and trading.
What data platforms does 3i Infotech work with?
Oracle, Snowflake, Databricks, Microsoft Azure Fabric, Google BigQuery, Cloudera, AWS Redshift, and on-premise environments, with visualization delivery across Power BI, Tableau, Oracle, Qlik, and other leading platforms. Architecture is designed for the problem, not for the platform.
How long does an analytics implementation take?
A structured 12-week model covers core analytics builds spanning data architecture, pipeline development, dashboard delivery, and initial KPI governance. Larger programmes involving AI/ML development or enterprise-wide data lake implementation are scoped during discovery.
Analytics implementation typically spans 12–24 weeks (3–6 months) end-to-end — from business discovery through governance, engineering, dashboard development, and adoption — though this compresses to 10–12 weeks for small projects or extends to 9–12 months for large enterprise rollouts.
How does 3i Infotech use AI and machine learning in analytics?
Across fraud detection with deep learning models, predictive forecasting for operational and financial planning, customer propensity and churn modelling, recommendation analytics, and optimization simulations, delivered through accelerators and bespoke MLOps implementations.
What industries does 3i Infotech serve with analytics services?
BFSI including banking, lending, credit unions, and asset management, plus insurance, public sector and government, healthcare, retail, telecom, and utilities, with particular depth in BFSI fraud analytics and financial services BI modernization.
Get Started Now
Unify your data. Trust your numbers. Predict what matters. Act with confidence.
Start with a Data Maturity Assessment. We map your data landscape, quantify quality and cost issues, and design an analytics roadmap sequenced by business value.