DataStreams : Corporate Overview

© 2014 DataStreams Corp. All Rights Reserved.
DataStreams Corp.
"Always find the better value of your data"
www.datastreams.co.kr
Corporate Overview

Name
Data Streams Corp.
CEO
Mr. Young-sang Lee
Business
Area
Data Integration Solutions Development and Sales
Data Quality Solutions Development and Sales
Data Warehouse / BI / FDS / Forensic / Audit Consulting and Construction
Big Data Analytic Consulting and Platform Construction
Data Governance Platform Development/Consulting/Sales
Data Migration Consulting and Construction
Large Volume Data Batch Processing Improvement Consulting and Construction
Data Standardization and Quality Management Consulting and System Construction
Data Architecture Consulting
Office
Address
HQ Chungho-nais B/D 6F, 28 Saimdang-ro, Seocho-gu, Seoul, Korea
R&D U-Spacemall #2 B-601, 670 Daewangpangyo-ro, Bundang-gu, Seongnam, Korea
China Office Room 1216, 12th Floor, Intersection of Hopson Kirin Society Building 2,
Wang Jing Fu Tong West Street, Wangjing, Chaoyang District, Bejing
Contact
Tel) +82-2-3473-9077 / Fax) +82-2-3473-9084
Investor
JAFCO ASIA
Capital
USD 2M
Sales Amount
USD 19M (2013)
Established
Sep 19, 2001
Employees
125
1
Company Profile

Company History
2
2012
•Established R&D Center in Pangyo Techno Valley
•Released Social Cube for SNS Data Analytics
•Participated in Original Technology Development Project for Next Generation Memory Based Big Data Analytics and Management
2009
•TeraStream™, Selected as Standard Data Integration Tool by The Korea Federation of Banks
•Selected as Contractor for Building Resource Management Data Standardization and Meta-data Management System by Ministry of National Defense
•Released DeltaStream™, QualityStream™, and ImpactStream™
2007
•Awarded for Excellent Venture Company by Deputy Prime Minister
•MetaStream™, Awarded for Digital Business Innovation by SMBA
•Released TeraStream™ Version 2.0
•JAFCO, Japan invested 4 million USD
2005
•Mr. Young-sang Lee, CEO, Was Awarded a Grand Prize for Korea Digital Competitiveness
•TeraStream™ Won New Technology Certification from Ministry of Knowledge Economy
•Released MetaStream™ Version 1.0
•Acquired KDB Solution Co., Ltd., Korea’s First Meta-data Management Solution Company
•TeraStream™ Version 1.4, Acquired GS(Good Software) Certification
2003
•KEB selected TeraStream™ as Standard Batch/ETL Solution for Next Generation Banking System
•First Worldwide Sales Contract of FACT™
•Presented FACT™ to Oracle Open World 2003 in San Francisco, USA
•Released MetaStream™ Version 2.7
•CEO, Mr. Young-sang Lee, Was Elected as a Chairman of KOSEA(Korea Software Enterprise Association)
•Released TeraStream™ Version 3.2
2010
•TeraStream™ Version 2.2, Acquired GS Certification
•Changed Company Name to DataStreams Corp.
•Contracted with Intellectual Property Office for Enterprise Data Quality Management
2008
•Awarded for Top Private Company for Population and Housing Census by Deputy Prime Minister
•TeraStream™, Selected as Standard ETL Tool by Ministry of Government Administration and Home Affairs
2006
•Selected as Technically Innovated Company of 2004 by SMBA
•Selected as Technically Innovated Company of 2004 by Small & Medium Business Administration(SMBA)
•TeraStream™, Selected for a Next Generation Banking Data Migration Tool by Shinhan Bank
2004
•Registered TeraStream™ as a Trademark
•Released TeraStream™ Designer Version 1.1
•First TeraStream™ V.1.1 Contract with National Statistics Office
2002
2011
•Awarded Prime Minister Citation for SW Achievement
•Selected as an ATC(Advanced Technology Center) by Ministry of Knowledge Economy
•Established China Office in Beijing
2013
•TeraStream™ for Hadoop, Selected as Base Solution for Building Government-Wide Big Data Infrastructure
•Acquired Patent for Readable Data Encryption and Decryption
•CEO, Mr. Young-sang Lee, Was Awarded Digital Management Innovation Prize
•Joined Int’l SOFT China in Beijing
• MetaStream™ Version 3.0, Acquired GS Certification
• Launched DQ Appliance
2001
•Released TeraStream™ Beta Version
•Innovative Data Solutions Corp., Was Established
2014
•TeraStream™, Was Awarded 2014 Korea Software Award by Ministrer of Science, ICT and Future
•DataStreams Is Listed on KONEX(Korea New Exchange)

Organizational Structure
Present Condition of Engineering Employees
96
Consultants
Data Governance
36
Data Integration & Migration
Big Data Management
DW & BI
SNS Analytics
Engineers
Meta Data & Data Quality Management Solution
60
Data Integration & Migration Solution
Big Data Management Platform
Number
Of
Employees
Total
Consultants/Developers
Management/Sales
125
96
29
Engineering Lev.
Total
Consultants
Engineers
Total
96
36
60
Professional
27
18
9
Qualified
26
11
15
Intermediate
19
3
16
Beginning
24
4
20
3
•Government Offices
•Banking
•Manufacturing Business
•Logistics/Services
•Planning Products
•Presales & Consulting
•DW/BI
•Big Data
•SNS
•QA(Quality Assurance)
•Marketing
•Overseas Sales
•Overseas Corp.
•HR/General Affairs
•Financial Admin.
•Knowledge Mgmt.
•Sales Support
•PI
•DI Technical Support
•DQ Technical Support
•DI
•RTI
•DQ
•UI
CEO
Auditor
Counselor
Sales Div.
PPC Div.
Business Consulting Div.
Global Business Div.
Management Support Div.
Technical Service Div.
R&D Center

Business Area
Data Governance
• Data Governance Architecture
• Data Quality Management
• Meta Data Management
• Master Data Management
• Data Quality Appliance
Data Integration
• High Performance ETL ∙ Batch
• Data Integration
• Deferred(Near Real Time)
• CDC, Real Time Data Transition
• High Speed Data Extraction
• High Speed Data Sort
• Data Integration with Hadoop
• Data Integration with Grid
• Test Data Management
Big Data
• Big Data Platform with Hadoop
• Big Data Analysis & Visualization
• Structured & Unstructured Data Analysis
• SNS Data Analysis ∙ Monitoring
Consulting
• ISP & Big Data Consulting
• Fraud Detection System(FDS) Consulting
• DW ∙ CRM ∙ BI Consulting
• Data Integration & Migration Consulting
• Data Standardization ∙ Quality Management ∙ Architecture Consulting
• Master Data Management Consulting
• Data Lineage Management Consulting
DW/BI
• Building DW ∙ CRM ∙ BI
• QPI Methodology
• Fraud Detection System(FDS)
• Information System Planning(ISP)
• Alternative Trading System Consulting
• Transaction Cost Data Analysis Framework
• Transaction Cost Data Analysis Framework & Consulting(TCA)
• Financial Analysis Services
DataStreams Is a Company Which Has Expertise in Data Processing and Analysis to Provide Total Data Management Services in Data Integration and Quality Management.
Data Lineage Management
• Data Lineage Analysis Platform
• Visualization for Data Lineage
• Relative Tool, Program & Script Language Analysis
• Table Column Search & Monitoring
4

Market Recognition & Share
5
60%
25%
10%
5%
80%
15%
5%
Korean Market Share
for ETL Solution
Korean Market Share
for Data Migration
(Banking Industry)
DataStreams Corp.
IBM
Informatica
Others
* The market share for ETL solutions is self-researched in 2013.
55%
30%
15%
Korean Market Share
for Metadata Management
W Company (Korean)
G Company (Korean)
ETL
Data
Migration
Metadata
Management
No. 1 Total Data Management Technologies in Korea
Vendor Report of Magic Quadrant for Data Integration and Data Quality Tools
(2013)
Reference URL : http://www.citia.co.uk/
Mentioned DataStreams’ capabilities of offering wide range of data integration
products through ETL, CDC and near-real time technologies.

Private
Banking /
Finance Companies
Public Finance
Companies
Government &
Public /
Educational
Institutions
Enterprises
Major Domestic Customers
6

DataStreams Is Exporting & Expanding…
Columbia
Banco Colpatria
Bogota City Government
Credibanco
China
Kookmin Bank
Hana Bank
USA Merklenet, Inc. CSC Consulting Bisys Comcast Merkle Data Tech
USA
Airweb
Sungard
American Airlines
Highmark, Inc.
Mexico
Sodexhopass
Procesar
Peru Banco Ripley
Chile Banco Estado de Chile
Australia National Wealth Management (MLC/NAB)
Spain Procecard Tecnocom Telefonica Soluciones ITnow!
Germany Accenture GmbH
India Reliance Industry
Indonesia Excelcom Aviva Telkomsel Hana Bank
Global Customers
7
Japan with Reliable Business Partners
U.S.A. BellaDati(US)
Vietnam
HIPT
FPT IS
Lac Viet
QTSC
EU
BellaDati(CZE)
Gibkie(RUS)
IMBI(Europe, N. Africa)
China China Mobile Fuchen Telecom & Banking / Insurance Companies

Data Integration Product Line – 1/2
제품 이미지
TeraStreamTM
•Data Extraction at High-Speed
•Data Transformation/Conversion
•Data Load
•Meta Data Management
•Real-time Monitoring
•Shortening Processing Time
•Dropping System Load by Improved Processing
•Shortening Development Time by Integrated GUI
•Cost Reduction for Data Integration Process
•Securing Data Consistency with TeraNRTTM
•Efficient Use of Resource by Distributed Processing
Main Features
Benefit
제품 이미지
DeltaStreamTM
•Real-time Change Data Extraction
•Data Transformation/Conversion
•Immediate Data Load
•Real-time Fault Handling
•ETL Supported
•Minimizing Use of DB Engine and System Resource by Using Transaction Log in DBMS
•Extract Data without Any Effect on Existing On- line Tasks
•Copy Data at High-Speed through Real-time Data Extraction
제품 이미지
TeraNRTTM
•Change Data Extraction(NRT) Scheduling
•NRT Monitoring
•Column Change Impact Analysis
•Automatic Script Creation
•Automatic Verification
•Increase of Data Consistency and Work Efficiency by NRT Extraction for Large Volume Data
•Time and Cost Reduction by Parallel Process and Large Volume Data Processing at High-Speed
•Securing Work Credibility by Using Automatic Verification and Missing Data Revision
The No. 1 Data Integration Solution in Korea to Extract, Transform, and Load the Data from the Source DB to the Target System in Various Environments
The Real-time Data Processing Solution to Transfer the Transaction Log for Change Data Information in DBMS to the Target System by Choosing CDC(Change Data Capture) Method
The Near Real-time(NRT) Data Processing Solution to Capture Change Data in Source DBMS to Load the Transformed and Changed Data to the Target System by NRT Method
8
Main Features
Main Features
Benefit
Benefit

Data Integration Product Line – 2/2
TeraStreamTM for Hadoop
•Can Use Outstanding Features of TeraStreamTM
•Can Use Variable Function of TeraStreamTM
•Big Data Analytics by Supporting Various Tools
•Map/Reduce by GUI
•Distributed Processing Integrated Monitoring for Multiple Nodes
•Easier and More Convenient Big Data Processing by Combining Strengths between TeraStreamTM and the Hadoop
•Manpower Reduction for Development through the Interfaces of TeraStreamTM and Hadoop
제품 이미지
TeraTDSTM
•RSC Encryption as Readable Form
•Maintaining Attributes of Original Data
•Guarantee Uniqueness of Data
•High-Speed Data Extraction and Conversion
•Support Easy Conversion Patterns by Users
•Blocking Private Information Leakage from Test and Development DB
•Provision with Easiness for Data Structure in Test and Development DB
•Preparation for Relevant Laws and IT Audits
The Test Data Management Solution to Convert the Original Data with Core Private Customer Information in a Readable Form over Maintaining Relations among the Tables in Development or Test System Structure Phases
The Specialized Solution for Big Data Processing by Combining TeraStreamTM and the Hadoop Eco-system to Provide Distributed File System and Platform
9
Main Features
Benefit
Main Features
Benefit
FACTTM
•Extracting Data from Various Commercial DBMS
•Append or Overwrite in Data Output
•Extracting Fixed and Variable Data
•Extracting CLOB / BLOB Data
•Providing Development Conveniences through Various Syntax of ANSI-SQL
•Easy Loading of Extracted SAMFILE by Automatically Creating DBMS Load Script File
•Preventing Problems with Data Extraction by Modifying Carriage Return Value
The High-Speed Data Extraction Solution to Apply the Extracted Data in External System ETL, Batch, Data Conversion by Extracting the Source Data from Various RDBMS at High-Speed
Main Features
Benefit

Data Governance Product Line – 1/2
제품 이미지
MetaStreamTM
•Data Standardization Management
•Modeling Management
•Support Various DBMS
•Transfer Management
•Data Quality Management
•Redundancy Prevention of Meta-data
•Meta-data Application Increase for Business Development
•Traceability Improvement for the Past Data
•Redundancy Prevention of R&R
•Time Reduction for Impact Analysis and Accuracy Improvement
제품 이미지
QualityStreamTM
•Profiling Analysis Target DB
•Management and Analysis of Business Rules
•Integrated Management of Quality Diagnosis
•Error Data Verification and Analysis
•Six Sigma Based Statistical Management
•Definition of Data Quality Management Process
•Consistent Reduction of Error Rate
•Consistent Management of Core Target for Data Quality Management
•Structural Data Quality Management through Integrated Repository
제품 이미지
ImpactStreamTM
•Program AS-IS Analysis
•DB AS-IS Analysis
•Program/DB Impact Analysis
•Creation Out-put / Provision with Excel Report
•Efficient Integration for Business Applications
•Maintenance of IT Application Development and Management Information
•Improving Outsourcing Control
•Improving Comprehension for Whole Application Road Map
•Development Productivity Improvement and Maintenance Cost Reduction
The Meta-data Management Solution to Realize the Structural Data Quality Management by Meta-data Life Cycle Management Features such as Meta-data Extraction, Standardization Management, Mapping Management, Standardization Observation, and Provision with Statistics
The Data Quality Management Solution to Secure Consistent Data Quality Level by Result Analysis of Quality Diagnosis through Accessing the Analysis Target Data
The Solution for Impact Analysis due to Application Changes by Building Application Knowledge Information Structure to Improve Comprehension and Readability from Application Source Codes Which Are Changed and Managed Continuously
10
Main Features
Benefit
Main Features
Main Features
Benefit
Benefit

Data Governance Product Line – 2/2
제품 이미지
MasterStreamTM
•Enterprise Master Data Governance
•Master Data Quality Management
•Pre/Post Verification by Set-up and Application of Business Rules
•Business Process Control by Data Value
•Efficiency Improvement by Sharing Core Data
•Quick Decision Making by Statistical Analysis
•Maintenance Cost Reduction by Operation System Improvement
•Scalability Improvement for System Installation/Changes
Q-TrackTM
•Extract Mapping Information among Tables
•Extract Legacy Table Lay-out Information of Original System
•Extract Meta Information of TeraStreamTM
•Extract Program Information (Stored Procedure or Shell with SQL)
•Extract Undiscovered Data Problems
•Accurate and Meaningful Analysis of Various ETL Environments
•Provision with Communication Base between Parties
The Master Data Management(MDM) Solution to Create and Manage Core Enterprise Data, Master Data, Continuously for Each Business Process Flow
DQ Appliance
•Verification Target Extraction / Change Management
•Initial Data Verification
•NRT Data Verification
•Meta-data Management
•Profiling / Rule / Verification Results / Modification Management
•Data Governance Based Data Quality Management
•Securing NRT Data Quality Verification Basis
•Provision with Outstanding Performance and Management Conveniences through the Optimized Dedicated Server for DB and File Processing
•Quality Verification Performance Improvement
Takes Near Real-time(NRT) Quality Verification Based on High-Speed Extraction and Verification, and Change Data, by Building Data Store in the Separate Machine to Get Over Limitation in Time and Space of Existing Data Quality Management Systems
The Solution to Provide Intuitive, Accurate, and Meaningful Lineage Information by Flow Visualization Regarding Creation, Transformation, and Use of Data from Operating System to Data Warehouse/Unit System
11
Main Features
Benefit
Main Features
Main Features
Benefit
Benefit

Real-Time Ecosystem
Hadoop Ecosystem
Analytic & Visualization Ecosystem
Real-Time Collection (Storm)
CEP
(Esper)
Collecting and Searching Social Data
(Splunk, Marklogic)
In- Memory NoSql (Redis)
Document NoSql (Mongo)
Data Store
SQL
(RDBMS)
Distributed Database (Hbase)
Workflow Management (Oozie)
Data Collection (chukwa, Flume, Scribe)
Structured Data Collection (Sqoop, hiho)
Serialization
(Avro)
Real-time SQL Query (Impala, Tajo)
Data Anaysis (Pig, Hive)
Data Mining
(Mahout)
Metadata Management
(HCatalog)
Distributed Data Process (MapReduce)
Document
(D3)
Visualization
Graphic (Giraph,
Gremlin)
Analytic Engine
(Complex Network Theory)
Analytic Store
(Greenplum, Exa,
Nettiza)
DS Solution
Collecting Social (Social Cube)
Structured Data Collection
(FACT)
Meta-data Management (MetaStream)
Collection (DeltaStream)
Tera
Stream
for
Hadoop (HBASE)
TeraStream for Hadoop (MAP/REDUCE)
TeraStream for Hadoop (HIVE)
TeraStream for
Hadoop (NOSQL)
TeraStream for Hadoop (RDBS)
Unstructured Data Collection (Social Cube)
Big Data Platform
12

Business System
Real Time Monitoring
ODS
DM
•Performance Tuning
•Emergency Management
DW
Data Governance Architecture (m-DOSA)
Load
Clean
Transform
Extract
Meta-data Management
Data Quality Management
Impact Analysis
Master
Data Management
Enterprise Data Management Solutions
13
Multidimensional
Mart
Subject Mart
Periodic Mart
Summary Table
Data Lineage Monitor
Distribute
Security
Security

Data Governance Solution Framework
14

Business Service & Consulting References

Introduction
Effect
• Performed Information System DW Batch within 6 Hours, and Simultaneously Loaded the Data to DM
• Support Bilateral ETL between Current ODW, New ODW, and EDW
• Used in Whole Range of Data Processing and Data Integration by Applying Various Business Logic
Customer’s Issue
Implementation
System Architecture
Extract
24-Hour
DB SPLIT
Profit Management
RISK
KPI
EUC
Current ODW
ORACLE
EDW
Sybase ASIQ
New ODW
ORACLE
Bilateral ETL
ETL
ETL
ETL
Batch
Batch
Batch
FTP Transfer After Extract
Accounting
System
Information System
DW
DM & Sub System
Opened in Feb, 2005
Batch
• Needed Conversion of Mainframe and IMS HDB
• Bilateral ETL Processing
• On Time Processing of Large Volume Data Batch
• Converted Mainframe Data to UNIX Data - Size of Data : 1~1.5TB
• Support Korean Conversion and Cleansing
• Perform Accounting System Batch, EDW ETL, Information System ETL and Batch - Daily Changed Data : 200GB (From Accounting System to New ODW) / Converted within 1½ Hours
• Data Transformation and Delivery from DM & Sub System and New ETL Information System to Various Mart through EDW Server(Data HUB) (EUC, KPI, RISK Management, IFRS, BaselⅡ)
Business Service & Consulting
16

17
Electronic Voucher DW Performance Improvement for Ministry of Health and Welfare
 Reduced Statistics Provision Time : Within A Few Seconds~Minutes from 1~6 Days
 Shortened Information Process : Simplifying Data Processing Procedures and Direct Acquisition of Information by Person in Charge
 Direct Inquiry and Editing through DW Construction
 Data Credibility Improvement by Consistent Data Provision
Introduction
Effect
• Deploying Work from Original Source to ODS
• Constructing and Modeling ODS, DW, and DM for Statistics Analysis
• Voucher System (DB1 → New DW Server)
• Server - OS : AIX 5.3 (AS-IS and TO-BE are same) - CPU : Power5, 2.1GHz, 6-core , IBM P Series
- MEM : 12 GB
- H/W : 1TB
• Easy Maintenance by Simple Logic
•Lack of Data Consistency
•Lack of Data Instantaneity
•Impossible to Check Illegal Approval
•Disharmony between Administrators and Work Sites due to a Lack of Statistical Data Credibility
Implementation
Customer’s Issue
System Architecture
Electronic Voucher Statistics Analysis System DW Server
Original System
Source DB
(Oracle)
- ODS Data Conversion
- Update/Insert to DW
- 1:1 Mapping Load
- Work Deploy
- Loading to ODS
IBM P Series
Voucher
Service
Illegal
Approval
Pregnancy
Birth
Manpower of
Providers
Target DB
(Oracle)
FACT™
ODS
DM
DW
ETL
- Data Transformation for ODS and DW
- Update/Insert to DW
ETL
ETL
Introduction
Effect

18
Information System Construction for Korea National Open University
• Academic Affairs Statistics Automation : Needed Personnel and Time Reduction of Manual Labor for Approx. 15 Days
• Academic Affairs Computerization : Needed Administration Statistics System
Customer’s issue
System Architecture
University
Administration
Graduate
School
Academic Affairs
Electronic
Approval
Tutoring
Administrative
Work
Institute
of
Lifelong
Education
Academic
Affairs
Graduation
Grade
Registration
Admission
Information System Server
TeraStream™
ODS
DW
DM
Data Extract/Load
ETL Control
Data Extract/Load
Data Extract/Load
• Extracting and Transforming Data for Academic and Administrative Affairs from Oracle DB to Provide Structured/Unstructured Statistics Reports After Loading the Data to ODS, DW, and DM of Oracle DB
• Academic Affairs Data(Early/Changed) : 20GB/1GB, Total 4 Hours for Change/Load
• Administration Work Data(Early/Changed) : 5GB/100MB, Total 1 Hours for Change/Load
Implementation
Tool
Total Working Time
Academic Affairs Statistics System
• Within 4 Hours
University Administration Statistics System
• Within 1 Hour
Reduced Working Time from 15 Days to 4 Hours
 Reduced Time for Academic Affairs such as Grade, Registration, and Admission, from 15 Days to 4 Hours
 The Statistics of University Administration Is Finished within 1 Hour
Introduction
Effect
Data Extract/Load
Data
Extract/ Transform/Load

Hadoop System of Price Index for NSO
Customer’s Issue
Implementation
 Difference between Actual Price and Announced Monthly Price Index
 Problem of Huge Volume Data Processing
 Lack of Professional Engineers for Hadoop System
 Introduced Hadoop System - Fast Process for Huge Volume of Data such as Internal Data and External(SNS) Data by Hadoop System
 Introduced TeraStream™ for Hadoop - Easy Use of Hadoop System through Convenient Features Focused on Developers
- Increase of Development Conveniences by Easy GUI
System Architecture
Data
Collection
Data Storage Area
Data
Analysis
External Data
Internal Data
Data Analysis
DBMS
TeraStream™ for Hadoop
Unstructured / Structured Data HDFS
TeraStream™ for Hadoop Engine
19
National Statistical Office(NSO) Used to Announce Market Price Index based on Monthly Price Research for 250~450 Goods in the Market Before. However, There Were Differences between Actual Price and Announced Monthly Price Index because of Time Gap. NSO Solved This Difference Problem by Performing the Project by Introducing Hadoop Eco-system.

Support e-Document Filter for Filtering Various File Formats such as MS Office, HWP, PDF, e-mail Formats(EML, PST, OST), and DB File
Save Extract Results with Text Format for Search Raw Data in Local File by Document Filter in Local Files System or Distributed File System
Create Index by Considering Parallel Indexing Implementation in Hadoop Distributed File System and Morphology of Korean Language through Open Search Library Which Supports Hadoop or Open Search Engines
Provide Various File Search Features based on Hadoop System
Implemented Extendable Data Analysis System for Integrated Search for e-mail Files, HWP Format Files, and MS Office Files based on Hadoop System
Big Data Based Data Analysis System for National Tax Service
20

Shifted Paradigm of Railway Use to Collect Travel Information with Each Railway Station as the Center and to Provide Potential Customers with the Customized Information
Potential Customers
[Real Time Travel Info]
[Travel Analysis∙Satisfaction Predict]
[Travel Destination Rank]
(Monthly/Weekly/Daily)
①
Interest(Recognition)
Attention(Planning)
Target Information Retrieval
and Using
②
Access and Information Retrieval
Information Provider(Device)
Big Data Platform
③
Collecting Potential Customers’ Information
Convergence Data Focused on Railway
Provision with Customized Information
①
Information of Device Is Composed of Easily Accessible and Usable Living Contents
Induce Purchase of Goods in the Process of Information Use by Potential Customers
① Access Information Provider Device and Search
- Access through Mobile and Internet
- Required Information Retrieval(e.g. Travel Prediction)
② Information Use by Potential Customers
- [Before Event Occurrence] Provide Travel Destination Rank and Issues Focused on Railway → Causing Interest
- [Event Occurrence] Travel Destination Analysis and Predict
Customized Satisfaction Info → Inducing to Planning and Target Information Retrieval
※ Event : Vacation, Long Holiday, Business Travel, etc.
③ Information Collection and Feedback based on Big Data Platform
- Collection and Analysis of Customers’ Issue, Reaction, Type, and Behaviors and Feedback by Aggregation of Various Data Type
Big Data Consulting for Korail
21

DataStreams : Corporate Overview

DataStreams : Corporate Overview

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