...
The AUD Platform is built on HTML5, allowing users to create web interfaces and reports, as well as perform data analysis tasks, without requiring additional plug-ins. It operates seamlessly across various HTML5-compatible browsers in a No Plug-in environment, eliminating the need for extra installations. With Auto-Sizing functionality, the platform automatically adjusts sizes for different devices, including mobile phones, enhancing user convenience and ensuring optimal performance across multi-device environments.
대용량 분석 / 빅데이터 분석 지원
...
Large-Scale & Big Data Analytics Support
We provide a cutomizable, large-scale data analytics platform optimized for each organization by analyzing its data and business envrionment.
...
| 패널 | ||||||||
|---|---|---|---|---|---|---|---|---|
| ||||||||
|
...
|
| Use Cases | Description |
|---|---|
| Government Agency A: Custom Meteorological & Climate Big Data Service Infrastructure | Developed a pilot service that integrates and analyzes large-scale weather data combined with big data from agriculture, tourism, culture, and transportation sectors, providing visualized results via a web portal. |
| Home Shopping H: New Information System | Improved search processing time for 300~400 million daily large-scale data transactions to within 2~3 seconds by processing search results in Memory and Cache |
| Steel Manufacturer P: SCM Sales Monitoring System | Implemented a Column DB-based storage solution for comprehensive analysis of sales, production, inventory, delivery, and profitability. This enabled rapid analysis of complex logic and resulted in cost savings of over 70% in build and oeprational expenses. |
| Telecom L: Integrated BS Information System | Introduced an In-Memory storage to build an integrated analytics system focused on Self-Service analysis for business users. This allowed timely utilization of information derived from 500~600 million raw data records in the field. |
| Government Agency H: Metropolitan Area Integrated Settlement System | Reduced the query speed for structured reports from several minutes to under 10 seconds by utilizing i-BIG server as a primary Cache DB engine. |
| Company L: Product Analysis Report System | Provided product analysis results within 5 seconds by using i-BIG's Cache DB for 160 million product analysis records, which were essential for sales planning by product, out of 20 billion monthly sales performance records of affiliates. |
| Company E: Next-Generation Retail CRM | Applied as a Cache DB for structured reports, significantly improving report query speeds |
| Company S: Fashion CRM | Implemented to improve data query performance, enabling the retrieval of hundreds of millions of records in under 10 seconds. |
Benefits
| Enhanced Development Productivity | Cost Savings | Increased System | Improved Operational Efficiency |
|---|---|---|---|
| Leverage an intuitive and simple UI alongside built-in SW Robot features to develop systems easily and rapidly without requiring SQL or JAVA coding. This significantly boosts development productivity. | With low-code development, systems can be built without the need for senior developers, reducing labor costs. Additionally, faster development shortens implementation timelines, lowering overall system development expenses. | Even non-IT professionals can easily maintain systems using SW Robot’s low-code capabilities. This enables quick responses to system updates and improvement requests, enhancing overall system usability. | Instead of multiple tools managed by different teams, a single platform integrates BI, reporting, and UI/UX management. This reduces operational labor costs and improves management efficiency. |
...