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We consolidate fragmented ERP and operational systems into a single, governed cloud warehouse — then model and visualize it so decisions become obvious.
KuantX is a data analytics and IT consulting firm focused on helping organizations improve performance through the consolidation and modernization of their data ecosystems. We bring together data from multiple ERP systems and operational sources into a centralized cloud data warehouse — a unified, governed foundation for analytics.
Through carefully designed ETL processes and business-specific transformation rules, we structure and model data to reflect each organization’s operational reality. The result is clean, reliable, continuously updated data — delivered to decision-makers through advanced, AI-enabled business intelligence.
We consolidate data from diverse systems — ERP, operational, external platforms — into a secure cloud-based staging environment. This layer enforces integrity, traceability, and standardization before data enters analytical models.
Architected for scalability and governance: a controlled foundation for future expansion, advanced analytics, and AI initiatives.
We clean, standardize, and reshape raw inputs through carefully designed transformation rules aligned with each organization’s operational and financial processes. Quality checks, deduplication, and business logic — encoded in the pipeline, not bolted on later.
Every rule is versioned, observable, and reproducible — so the clean layer your analytics depend on stays trustworthy as the business evolves.
Transformed data is loaded into a modeled warehouse layer — dimension and fact tables purpose-built to satisfy each customer’s analytical needs. Star schemas, fact grain, slowly-changing dimensions — designed for clarity, consistency, and long-term performance.
The foundation every dashboard, report, and AI workflow downstream depends on — governed, documented, and ready to serve the business.
Executive dashboards on the platforms your teams already trust — Power BI, Looker, Cognos, and beyond. AI layered directly over structured, cleaned data so insights surface instead of hide.
Natural-language queries, proactive signal detection, and standardized reporting — helping the business utilize AI over its structured data and access analytical needs in a consistent, governed fashion.
AWS
Google Cloud
Microsoft Fabric
Power BI
Looker Studio
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