Three Core Challenges of Core System Data
Data and Analytics Solutions
Modern Data Integration & Migration
Unlock Core System Data. Build Your AI-Driven Enterprise Intelligence Brain.
Your core systems (such as ERP) carry the most critical operational data in your business, yet their closed architecture makes data extraction and advanced analytics an ongoing struggle. Netron delivers a professional Modern Data Integration & Migration solution, seamlessly moving large, complex core system data to the cloud via a pre-built data foundation, rapidly unlocking Business Intelligence (BI) and Generative AI (Gen AI) capabilities.
Data Locked In — No Single Source of Truth
Financial, sales, and production data is trapped in massive core systems. Business users rely on manual exports or Excel spreadsheets for processing, making data consistency and timeliness impossible to guarantee.
Extraction & Modelling Costs Are Prohibitive
Traditional ETL (Extract, Transform, Load) processes are slow and labour-intensive. The underlying table structure of core systems is notoriously complex, forcing data engineers to spend enormous time rebuilding business logic models from scratch.
Cannot Connect to AI & Advanced Analytics
Enterprises want to use Gen AI or LLMs to query data via natural language, but without a clean, structured cloud data foundation, AI cannot deliver meaningful value.
Core Solution
End-to-End Architecture: From Data Extraction to AI Activation
Netron Information Technology simplifies what used to be a heavyweight systems integration project through a modern, cloud-native architecture:
High-Performance, Zero-Disruption Core Data Extraction
Automated data transfer connectors or CDC (Change Data Capture) technology safely, reliably, and with minimal latency synchronise terabytes of core system data (e.g., 6TB or 12TB) to your cloud data warehouse.
Pre-Built Data Foundation
(Out-of-the-Box)
No more building from scratch. Pre-built data models optimised for core systems automatically transform complex raw data into immediately usable Business Semantic Views for business users.
Modern Visual Analytics & AI-Powered Data Exploration
Connect your standardised cloud data foundation seamlessly to modern BI tools. Build dynamic, interactive visual dashboards, and go further by integrating LLMs directly, enabling users to explore data and refine Prompts through natural conversation for a next-generation data experience.
Structured Implementation Path
Four-Stage Proof of Concept (POC)
For core system data migration, Netron Information Technology uses a progressive, low-risk four-stage framework, ensuring every step delivers concrete business value:
Stage 1
Quick Proof of Concept
Goal
Validate data extraction feasibility and demonstrate initial reporting value.
Actions
Audit existing core system version and select a specific target dataset. Execute data transfer to the cloud warehouse, validate record counts and accuracy, and produce the first visual report to confirm data usability.
Stage 2
Expand Scope & Data Integration
Goal
Validate data extraction feasibility and demonstrate initial reporting value.
Actions
Audit existing core system version and select a specific target dataset. Execute data transfer to the cloud warehouse, validate record counts and accuracy, and produce the first visual report to confirm data usability.
Stage 3
Build Enterprise Data Platform & AI Training
Goal
Fully upgrade enterprise intelligence capabilities.
Actions
Migrate all core system data to the cloud data platform and deploy Generative AI (Gen AI) and machine learning (ML) models. Support sales forecasting and conversational analytics.
Stage 4
Global Operations Optimisation & Customer Data Platform (CDP)
Goal
Maximise ROI and ensure long-term stable operations.
Actions
Integrate cloud IoT (AIoT) and new business data to build a comprehensive Customer Data Platform (CDP) and optimise overall operational performance.
