Cloud Data Modernization
Migrate to a Modern, AI-Ready Data Platform — Faster and With Less Risk.
Legacy on-premise data warehouses and outdated analytical platforms cannot deliver the data freshness, scalability, or architectural flexibility that modern AI and analytics workloads require. Tecksight's cloud data modernisation service uses AI-accelerated tooling to compress migration timelines, reduce manual effort, and validate data quality throughout — delivering a modern cloud data platform that is production-ready and AI-workload-capable from day one.
45%
Faster migration to production with AI-accelerated discovery and build
50%
Reduction in ETL to ELT conversion effort through intelligent automation
40%
Improvement in data quality scores post-modernisation
20+
Years of enterprise data platform delivery experience
Approach
Our Delivery Approach
01 — Discover & Assess
AI-powered discovery of your data landscape — sources, schemas, lineage, quality issues, pipeline dependencies, and migration complexity. Output: a prioritised migration plan with realistic effort estimates and risk flags.
02 — Design Target Platform
Architecture design for the target cloud data platform — aligned to your AI roadmap, governance requirements, query performance expectations, and cost targets.
03 — Convert & Build
AI-accelerated pipeline and schema conversion — with human engineering validation ensuring accuracy, business logic preservation, and code quality at every stage.
04 — Migrate & Validate
Structured data migration with AI-assisted reconciliation at every layer — confirming completeness, accuracy, and consistency before any downstream system is switched to the new platform.
05 — Govern & Enable
Governance framework activation, data catalogue population, quality monitoring setup, and user enablement — ensuring the new platform is trusted and actively used from day one.
Services
Our Cloud Data Modernisation Services
Assessment
AI-Powered Platform Assessment
Rapid AI analysis of your existing data landscape — inventorying data sources, mapping lineage, profiling quality, and identifying migration risk and complexity before a single record is moved. What typically takes weeks of manual discovery is compressed into days.
Migration
Cloud Platform Migration
Structured migration of data warehouses, data marts, and analytical stores to cloud platforms — including Oracle Autonomous Data Warehouse, Snowflake, and Azure Synapse — with AI-assisted schema conversion and continuous validation against source systems throughout.
ETL Conversion
Legacy ETL to Modern ELT
Convert legacy ETL pipelines built on SSIS, Informatica, or custom SQL to modern ELT frameworks using AI-powered code analysis and conversion tooling. Manual conversion effort is reduced by up to 50% while producing cleaner, more maintainable output.
Governance
Data Governance Implementation
Lineage tracking, data cataloguing, quality monitoring, and policy enforcement built as core deliverables of the modernisation programme — not afterthoughts. Your new platform is trusted from the moment it goes live.
AI Readiness
AI-Workload Architecture
Every Tecksight-modernised data platform is designed to support AI and ML workloads from the start — including vector storage, feature engineering infrastructure, real-time data access, and model serving integration points.
Frequently Asked Questions
Tecksight has implementation and migration experience with Oracle Autonomous Data Warehouse, Oracle Analytics Cloud, Snowflake, and Microsoft Azure Synapse Analytics. We help clients select the right target platform for their workload profile, existing vendor relationships, AI requirements, and cost objectives.
Legacy ETL pipelines often contain business rules and transformations that are not formally documented anywhere. Tecksight uses AI to analyse pipeline code and extract embedded logic — producing documented specifications that are reviewed with business stakeholders before conversion begins. The converted ELT code is then validated against the documented logic and tested against source data before production cutover.
Yes. Tecksight uses parallel-run migration strategies where the new platform is validated alongside the live legacy system before any cutover. Reporting consumers are transitioned to the new platform only after equivalence is confirmed — ensuring there is no disruption to business intelligence, operational reporting, or analytical applications during the transition.