페이지 이력

...

패널

Enable fast handling of large-scale data by applying proprietary big data processing technology and methodology
Implement low-cost and high-efficiency analytics environment
Rapid and easy generation of analytical reports for massive datasets
Provide various report formats including dashboard, structured/unstructured reports, OLAP, statistical reports, and KPIs. (Customer-customized Data Structuring, Differentiated Data Storage Methods)
Big Data Indexing
Broad connectivity with other big data solutions (Hadoop, Hadoop Eco-system, R, Splunk, and etc.)
Proven track record of diverse deployments

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

Network Carrier 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 Usability	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.

...