Data & Analytics

Our data management services help organizations establish the right frameworks and practices to ensure data accuracy, consistency, and security on a scale.

We offer end-to-end capabilities, including master data management, metadata management, data quality, consulting, and data governance, to build trust and enhance usability across the enterprise.

With a business-first approach, we align data capabilities with organizational goals to help customers unlock value, drive innovation, and build AI-ready ecosystems that generate accurate, reliable, and actionable insights across business functions.

We help enterprises modernize their data ecosystems and accelerate cloud adoption with a secure, seamless, and strategic alignment. Our structured, automation-led Data Modernization & Cloud Migration services ensure clean, reconciled, and business-ready data that is migrated to the right platforms, aligned with business goals for faster time-to-value.

We simplify hybrid and cloud-native transitions by eliminating redundancies, rationalizing reports, consolidating assets, and enhancing agility, scalability, and maintainability.

We build centralized, composable data platforms using data lakehouse architectures (including data lakes and delta lakes), data mesh and data fabric principles, and are enabled with advanced ingestion and transformation pipelines. By embedding AI and Generative AI, we automate ETL/code conversions, generate use cases and reusable data products across domains, create synthetic data for stress testing and AI-ML model development, and manage the data supply chain by ensuring analytics is performed on clean, governed master and transactional datasets.

This transformation enables natural language-based self-service analytics, supports real-time decision-making, and equips enterprises with a future-ready, scalable data foundation for continuous innovation.

AI-Augmented Data Operations help organizations design, build, and manage efficient data ecosystems that support real-time insights, continuous delivery, and AI readiness at an enterprise scale.

Data pipelines are streamlined to maintain quality, governance, and agility by applying DataOps principles, cloud-native engineering, and intelligent data observability. Generative AI is utilized to enhance workflows by accelerating pipeline development, automating issue resolution, and improving operational monitoring.

This approach automates aspects of data operations, supporting quicker innovation, informed decision-making, and broader access to data across the organization.

As a strategic partner, we empower organizations to harness data as a high-value, revenue-generating asset, facilitating large-scale value realization through seamless provisioning, governed access, and intelligence-driven results.

Our architectural solutions support BI, GenBI, AI/ML, GenAI, and agentic workflows utilizing cloud-native platforms, composable APIs, and GenAI-enabled intelligent data marketplaces. This ensures efficient discovery, allowing users and systems to easily locate, utilize, and act upon critical data assets.

We expedite enterprise adoption of advanced analytics and Generative AI by operationalizing reusable data products, leveraging feature stores, and integrating AI/ML automation — all while upholding security, traceability, and governance standards. Our approach aligns data provisioning with business objectives, unlocking new revenue opportunities, enhancing customer engagement, and enabling both data-as-a-service and self-service innovation to deliver actionable, business-centric value throughout the organization.

As a trusted partner, we transform how business users access, explore, and act on data by building a culture of agility, ownership, and data-driven decisions through modern self-service analytics. We accelerate dashboard creation, automate insight discovery, and enhance data storytelling by integrating intuitive BI platforms with GenBI-powered features.

We equip decision-makers across functions with timely, data-driven insights to support informed and strategic actions. Our report rationalization framework reduces redundancy, simplifies the reporting landscape, and focuses on business-critical insights that drive measurable results.

By leveraging generative AI, we boost data discovery by surfacing hidden insights, recommending relevant data products, and guiding users with an intuitive natural language interface. This approach converts self-service analytics into a strategic advantage, aligns with enterprise strategy and governance, and transforms raw data into a competitive business advantage.

This is the definitive stage where we transcend the boundaries of traditional analytics. We operationalize the future of work by engineering a hybrid ecosystem where human intellect guides autonomous AI agents. This shifts your enterprise posture from analyzing the past to actively shaping the future, enabling new data monetization streams and embedding intelligent action into the core of your operations. This transformation necessitates the adoption of technology, accompanied by a fundamental shift in mindset, organizational culture, and operating models.

Our agentic framework, AIDEN – part of our flagship D.A.H.L.I.A platform – does not host simple chatbots; these are sophisticated, goal-oriented AI teams of agents that can autonomously plan, reason, and execute complex, multi-step tasks concerning the entire data & analytics lifecycle.

Whether exploring human-agent collaboration or scaling autonomous intelligence, TechM helps organizations navigate change with clarity, structure, and measurable outcomes.