Our Data & Analytics Consulting Services

Bringing All Your Data Together

Unify scattered systems into a single source of truth – giving teams complete visibility and enabling faster, smarter decision-making across the organisation.

Preparing for the Future

Move to cloud-ready, scalable architectures that support innovation, expansion, and long-term digital transformation.

Making Data Secure, Accurate, and Reliable

Ensure your data is high-quality, compliant, and trustworthy through governance, validation, and robust security frameworks.

Cutting Complexity and Manual Work

Automate data flows and eliminate outdated processes so your teams can focus on strategic initiatives instead of repetitive manual effort.

Our Data & Analytics Capabilities

    Data Engineering

    Transform legacy and siloed systems into modern, cloud-native data platforms with advanced engineering practices:

    • Unified data architecture using Snowflake, Delta Lake, BigQuery, and similar technologies
    • Real-time ETL/ELT pipelines from ERP, CRM, IoT, APIs, and enterprise systems
    • Legacy refactoring into microservices and API-driven data workflows
    • End-to-end governance, observability, lineage, and platform health monitoring

    Data & Analytics

    Unlock meaningful insights and empower decision-making with enterprise analytics:

    • BI dashboards (Power BI, Superset) for ops, finance, and sales KPIs
    • Predictive analytics for demand forecasting, churn, anomalies, and risk
    • Embedded analytics for real-time, role-based insights in client-facing apps
    • Self-service analytics through NLP and drag-and-drop exploration tools

    Predictive Analytics

    • Forecast trends, identify patterns, and reduce risk

    • Real-time analytics that drive decisions, not just visuals

    Tech Expertise

    Data engineering
    Data & analytics

    Turn Your Data Into a Competitive Advantage

    Not sure where to start with data & analytics – or how to scale it?

    Our experts help you assess, design, and implement analytics solutions that deliver real business outcomes.

    Industries We Transform

    Specialized expertise across diverse sectors

    Smart Cities Automated smart-meter billing for 25,000+ households with digital payments
    Real-time toll & infrastructure analyticsIoT & video integrationUnified monitoring dashboardsPredictive operational insights
    Government & Public Sector Nationwide system deployed across 1,200+ toll plazas, processing 20M+ transactions daily
    High-volume data engineeringSocial program & beneficiary analyticsCentralised dashboardsTransparent governance tools
    Fintech & BFSI 129,000 cases disbursed, ₹3,300 crore released, averaging ~₹4 lakh per case
    Secure data extraction & migrationDeduplication & reconciliationRegulatory-compliant analyticsFinancial data integrity
    Retail & E-Commerce Enabled 100% on-road financing to simplify and accelerate EV purchases.
    Predictive sales modelsCustomer segmentationRevenue forecastingDemand planning optimisation
    Agriculture & Rural Multilingual support in Urdu, Hindi, and English via WhatsApp
    District & village-level dashboardsResource planning & impact analysisUnified rural data systemsPolicy decision support

    Case Studies

    Real transformations, measurable impact

    Automating Central Bank-Compliant Loan Document Generation for All Loan Types

    We automated loan document generation for a leading private bank, ensuring full regulatory compliance and seamless processing for millions.

    Empowering Rural Communities Through Data-Driven Decisions

    We built an offline data platform for a non-profit, streamlining remote collection to enable data-driven community development.

    AI-Powered Traffic Management System for National Highways

    We deployed a comprehensive AI traffic system on the Delhi-Mumbai Expressway to detect real-time incidents, reducing emergency response times by over 480 seconds

    “Every challenge is unique. Every solution is tailored. Every result is measurable.”

    Expert Insights

    Thought leadership that drives transformation

    Modern Data Architecture: Best Practices for Cloud and Compliance

    Predictive Analytics at Scale: From Insights to Automation

    Data Governance for Enterprise Analytics: Securing Trust Across Cloud and Legacy

    FAQs

    Why is data modernization important for growing organizations? +
    It removes data silos, improves visibility, and creates a scalable foundation for analytics, automation, and AI. For growing organizations it directly improves decision-making speed, reduces operational inefficiencies, and enables real-time intelligence that legacy systems cannot deliver.
    How do you ensure data security, compliance, and integrity? +
    We embed governance, encryption, role-based access controls, audit logging, and continuous monitoring directly into the data platforms we build. Data quality checks, lineage tracking, and regulatory compliance frameworks are built into the architecture from day one, not added later.
    What real-world results have you delivered for clients? +
    We have built large-scale data platforms, real-time analytics systems, and decision-support dashboards for clients including Pine Labs, Ferns N Petals, Yes Bank, and NHAI. On the Delhi-Mumbai Expressway, our AI data platform cut emergency response times by over 480 seconds. At Pine Labs, our automated data pipeline processes over Rs. 300 crore in digital lending monthly. Across 1,000+ projects since 2010, the consistent outcome is measurable improvement in compliance, efficiency, and decision-making.
    Can you integrate with legacy and cloud platforms? +
    Yes. We design data architectures that connect legacy on-premise systems, modern cloud platforms including AWS, Azure, and GCP, SaaS applications, and IoT data sources using APIs, ETL pipelines, and event streaming. Full system replacement is not required. We build integration layers that preserve your existing investments while unlocking modern analytics capabilities.
    What is Auriga's Working Engagement Model for Data & Analytics? +
    We adapt to where you are. We can work as your dedicated data team, deliver a scoped analytics project from discovery to deployment, or augment your existing team with the right data engineers and analysts exactly when you need them. Every engagement starts with a no-commitment discovery session to align on scope, timeline, and outcomes.
    Which industries does Auriga IT serve for data analytics? +
    We deliver data analytics solutions across e-commerce, fintech and banking, healthcare, manufacturing, government and public sector, infrastructure, retail, and logistics. Industry-specific data patterns, compliance requirements, and domain knowledge are brought to every engagement, significantly reducing implementation time compared to generic approaches.
    What is the difference between data engineering and data analytics? +
    Data engineering covers the infrastructure layer: building and maintaining pipelines, warehouses, lakehouses, and the systems that move, clean, and store data reliably. Data analytics is the analysis layer: querying that data, building dashboards, and applying statistical or machine learning models to extract business insights. Auriga IT delivers both as an integrated service so the engineering foundation is designed to support the analytics use cases from the start.
    How long does a data analytics project typically take? +
    A focused analytics dashboard or reporting project typically takes four to eight weeks. A full data platform implementation including pipeline architecture, warehouse design, and BI layer typically runs three to six months. Data modernization programmes that migrate legacy systems and rebuild analytics infrastructure end-to-end are typically six to twelve months. We provide a scoped timeline after an initial discovery session at no commitment.

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    Experience the power of unified data and actionable analytics