Data Maatics is an end-to-end technology partner — helping businesses collect, connect, understand, and act on their data through analytics, AI, software, and strategic advisory.
Broad capability, focused delivery. We meet you where your data journey is — and take it further.
Whether you need a single dashboard or a full-stack data platform, we assemble the right expertise from across our practice areas.
Interactive, self-serve dashboards that give leadership and operations teams real-time visibility across all business dimensions.
Statistical modeling, cohort analysis, funnel diagnostics, and attribution — turning historical data into forward-looking clarity.
Churn prediction, demand forecasting, risk scoring, and revenue modeling using machine learning frameworks tailored to your domain.
Segmentation, LTV modeling, journey analysis, and personalisation intelligence for consumer and B2B businesses alike.
P&L visibility, margin analysis, cost attribution, and cash-flow forecasting — giving finance teams a single source of truth.
Eliminate manual Excel reporting. We automate recurring reports, alerts, and scheduled delivery so your team focuses on decisions.
End-to-end ETL/ELT pipelines that move, clean, and transform data reliably from source to warehouse — at any scale.
Architecture, setup, and optimisation of cloud warehouses — structured for performance, cost-efficiency, and team usability.
Intelligent pipelines that detect anomalies, auto-heal data quality issues, and flag schema drift — reducing manual ops significantly.
Event-driven architectures for operational analytics, fraud detection, and live dashboards requiring sub-second latency.
Unified storage and compute layers that combine the flexibility of a data lake with the governance of a warehouse.
Seamless data integration across SaaS tools, ERP systems, CRMs, and third-party APIs — so all your systems speak the same language.
Event tracking setup across web and mobile products — ensuring every click, conversion, and session is captured cleanly and correctly.
Structured extraction of publicly available data from websites, marketplaces, and directories — at scale and on schedule.
End-to-end survey design, distribution, response collection, and analysis — for market research, NPS, and customer intelligence.
Identification, evaluation, and integration of commercial data providers to enrich your first-party data with market context.
Ingestion and processing of device telemetry, sensor readings, and operational data streams from manufacturing, logistics, and facilities.
High-quality labelling of image, text, and structured datasets for machine learning model training and fine-tuning.
Full-stack web applications built for internal tools, customer portals, and data-driven products — scalable from MVP to enterprise.
Purpose-built analytics portals, embedded BI tools, and customer-facing data products with white-label capabilities.
LLM-driven workflows, document intelligence, chatbots, and internal copilots — built on proven AI frameworks and your own data.
Robust, documented REST and GraphQL APIs that power integrations between your data infrastructure and business applications.
Cross-platform mobile apps for field teams, operational monitoring, and data collection — with offline-first capabilities.
CI/CD pipelines, containerisation, and cloud infrastructure management to deploy, monitor, and scale everything we build.
We audit your current data maturity and co-create a 12–24 month roadmap aligned to your growth priorities and team capability.
Policies, cataloging, lineage tracking, and ownership frameworks that make your data trustworthy, auditable, and compliant.
Vendor-agnostic evaluation of data tools and platforms — so you invest in technology that fits your budget, team, and scale.
Data literacy workshops, SQL training, and BI tool onboarding that build lasting capability across your business teams.
Senior analytics leadership embedded into your organisation on a part-time basis — for companies not yet ready to hire full-time.
Data privacy impact assessments, consent management, and regulatory compliance frameworks for GDPR, India's DPDP Act, and HIPAA.
We don't just understand data — we understand the business context that makes data meaningful in your world.
Risk analytics, fraud detection, regulatory reporting, customer 360, and product P&L for banks, NBFCs, and insurers.
Demand forecasting, inventory optimisation, pricing analytics, and customer retention for online and offline retailers.
Patient outcome analytics, clinical trial data management, operational efficiency, and HIPAA-compliant reporting.
Production analytics, OEE monitoring, supply chain visibility, and predictive maintenance across plants and lines.
Last-mile delivery analytics, fleet performance, SLA tracking, and route optimisation for logistics operators.
Learner engagement analytics, cohort performance, content effectiveness, and subscription retention insights.
Market intelligence, lead quality scoring, project performance dashboards, and investor reporting for developers and brokers.
Audience analytics, campaign attribution, programmatic performance, and content recommendation for digital media businesses.
AI is not a separate offering at Data Maatics — it is woven into how we collect, process, model, and surface data across all our services.
ML-based anomaly detection flags quality issues in real-time, before they reach your dashboards or decisions.
Business users ask questions in plain English and get chart-ready answers — no SQL, no analyst bottleneck.
Unstructured data — PDFs, emails, web content — parsed and structured automatically using large language models.
Internal chatbots, document Q&A, and workflow automation built on your own data using RAG and fine-tuning.
A Mumbai-based technology services company founded on one conviction: businesses deserve partners who can handle the full data journey — not just one piece of it.
We bring together data engineers, analysts, software developers, and domain experts under one roof — so you never have to coordinate multiple vendors or lose context between teams.
Our style is collaborative, low-ego, and deeply practical. We have worked with early-stage startups, mid-market companies, and enterprise groups across India and internationally.
From data collection to AI applications — one team, one context, one relationship.
We start with the decision you need to make, not the technology stack we want to use.
No black boxes. You own the code, the data, and the documentation at every step.
We understand your goals, current data landscape, and where the biggest pain points are. No charge.
We present a clear scope, timeline, team, and pricing — structured around your specific needs, not a template.
Two-week sprints with working deliverables and regular check-ins. You always know what was done and what is next.
Every engagement ends with documentation, training, and a handoff that leaves your team stronger — not dependent.
Most clients stay with us after the initial project. We offer retainers, AMC, and embedded team models for continuity.
We are flexible by design. Every client relationship is structured to match the nature of the work and your internal setup.
A defined scope, fixed timeline, and clear deliverables. Ideal for building a specific product, platform, or analytical capability.
A dedicated team embedded in your organisation on a monthly basis — acting as your extended data and technology function.
Senior data and technology leadership on a part-time basis — strategy, oversight, hiring guidance, and vendor management.
No templates, no boilerplate proposals. Just a real conversation about your data challenges and how we can help.
Write to us at hello@datamaatics.com