i-BIG

Big Data analytics engine for enterprise massive data analysis

i-BIG is a big data analytics platform optimized for enterprise massive data analysis combining big data analytics technology with BI/OLAP technology to enable Big Data analytics in a variety of forms more effective even on a single platform. It provides meaningful analysis results for solving problems, streamlining management, and forecasting new business to help predict and respond to future events quickly and accurately.

  • Overview
  • Architecture
  • Features
  • Application case
  • Application screen
Feature
i-BIG is a solution for analyzing massive data to make sure that explosively increasing data can be used worthily to the business.

Advance Analytics

Providing powerful data analytics combining with proven BI solutions

Resource Efficiency

Efficiently resource-enabled architecture with Optional usage of server and client support

Connectivity

Scalable analytics platform that can be linked to a variety of DB sources and Hadoop.

Accelerate Insight

Unique Query Processing Methodology and Ultra-fast data processing using Cache Table (relevant patent applications).

High-Volume of Data

Handle massive data at lower cost applying unique Big Data analytics technology and methodologies

Performance Optimization

Providing customized Big Data analytics environment optimized for enterprise environments through analyzing the data and work environment of an enterprise

Both the Column DB and the In Memory DB are supported in consideration of the customer’s data environment.

In Memory

Improving processing speed by storing/managing frequently used search results with optimized memory cache
Managing Query by Memory Query Manager

High Performance Column DB

Processing at high speed complex queries for big data using Column DB
Efficient I/O processing and excellent data extraction by vertical division
Architecture
Big data analytics platform that combines powerful data and report analytics with big data analytics in BI solutions.
Features
Big data analytics platform that combines powerful data and report analytics with big data analytics in BI solutions.

Providing a big data analytics platform that integrates with the best BI analysis tools

  • Providing powerful data analysis combined with the proven BI solutions
  • Accelerate data processing with combination of the latest data analysis technology
  • Providing a familiar and intuitive UI
  • Producing reports easily and conveniently using massive data
  • Providing various report formats, including Dashboard, Regular/Uniform/OLAP/Statistics/KPI
  • Self-Service Analysis
  • Support for prediction, simulation BI
  • Mobile BI Support

Unique Data Processing Methodology

  • Proven methodologies based on over 20 years of BI practical experience and know-how
  • Providing fast results for massive data through the highest technology for massive data analytics and efficient analytics Methodology
  • Providing massive data processing platform optimized for each Enterprise data with business environment & data analysis.
  • Producing reports easily and conveniently using massive data
  • Providing various report formats, including Dashboard, Regular/Uniform/OLAP/Statistics/KPI
    (data structure customization and differentiated way to store data)

Extension

  • Big Data Indexing
  • Support for various data sources: All RDB DBMS, Heterogeneous DB Linked Analysis
  • Extensive collaboration with other big data solutions: Hadoop, Hadoop Eco-system, R, Splunk, and more
  • Fully compatible with Excel

Security

  • User Management
  • Log Management
  • DB Connection Management
  • SQL Management
  • Report Management
  • Data encryption
  • SSO Interlink
  • DRM Interlink
Application case
Application case Detailed description
Establishment of the Foundation for the Weather Big Data Service Customized to A Institution Building a converged pilot service that Visualizes the results of Combining and analyzing big data in agriculture, tourism, culture, transportation and the results of massive weather data analysis and provides it as a web portal
H Home Shopping New Information System Improving search processing time to within 2-3 seconds by processing search results into memory and cache for 3 to 400 million data daily
P Steel Company SCM Sales Monitoring System With the introduction of column DB-based repositories for comprehensive analysis of sales, production, inventory, delivery and profitability, complex logic analysis is also quickly analyzed, reducing deployment and operating costs by more than 70%.
L Telecom BS Integrated Information System In Memory Store was introduced to establish an integrated analysis system for business-oriented Self-Service analysis and implement a system where information derived from 5 to 600 million data can be utilized in the field in a timely manner.
H Organized Seoul Metropolitan Area Integrated toll System Reduced query speed for structured reports from existing minutes to less than 10 seconds as i-BIG servers as primary cache DB engines.
L Company Product Analysis Report System Of the approximately 20 billion sales data per subsidiary per month,
The system provided 1.6 billion product analysis data for each product in about five seconds using i-BIG’s Cache DB.
E Corporate Distribution Next Generation CRM increasing report viewing speed applying structured report for Cache DB purposes to
S company fashion CRM i-BIG was introduced to improve data retrieval performance, resulting in hundreds of millions of data being viewed in less than 10 seconds.
Application screen
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  • i-BIG should be used with BI Solution in BI MATRIX because i-BIG is an additional analysis module for massive data processing
  • The above screens are examples of a mix of i-BIG, visualization solution and BI solution.