비투엔

Data Solution

SDQ

(Smart Data Quality)

SDQ with systematic enterprise data quality managing process, dedicate on improving the efficiency of enterprise level work with improved data quality and secure of stability
[Smart] Provides DA(Data Architecture) work through standard data(word, term, domain) managing.
[Data] With easy-structure, approachable with anyone, it deals data quality managing process fast and stable.
[Quality] Checking and result analyzing of the quality-checking object when it comes to data quality checking and improving.

Benefits of solution

Data quality managing efficiency improving
By increasing the visibility of data test result, it’s easy to check quality situation. Also, with simple but smart data quality test and report, improve the efficiency of data quality managing work
Increased credibility of Data quality
By creating the schedule, it proceeds regular automated-checking. Continuous quality state checking and improving and securing the credibility of data is possible.
Securing the safety of Data managing
Error estimate data is provided for searching fundamental reason for problem and based on the process, program chase the source program that occurs the problem, which leads to data safety securing of operation system.

Characteristic of SDQ	Specifics
Providing the quality specifications after Ministry of Public Administration and Security	Provides the quality specifications of Ministry of Public Administration and Security Use standard, structural diagnosis along with value diagnosis Specialized quality-managing standard including possibility of choosing open data
Simple but Smart quality test	Simple design focused on data quality testing Convenient functions of data quality checking based on domain User-oriented function with instant UI structure
Fast and Convenient quality checking	Securing quality test using multi-thread function Efficient resource using with reservation function Possible parallel processing function of DBMS
OPEN SOURCE S/W based solution	Architecture considering expendability and flexibility Supports various platforms

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SMETA

(Smart Metadata)

Combined with B2EN various public data-opening experiences and technical capabilities, SMETA is a solution that unifies and manages metadata across the company. SMETA provides information about data standards, data structures, and the impact of data changes, ensures consistency of data owned by organizations, and provides incredible transparency to data assets, including quality infrastructure and improved data accessibility.

Benefits of solution

Reliable standard metadata management
To guarantee domain consistency of a term by using a classification term. By ensuring consistency of expression through similar and forbidden word management, reliable standard dictionary management is possible. It also ensures data integrity through data quality degradation and impact queries.
Systematic DBMS object management
Enables ongoing validation through corporate DBMS catalog collection and DBMS VS Standard/Model GAP analysis. In addition, DBMS object change history management is useful.

Characteristic of SMETA	Specifics
Data standard management	Company-wide word, domain, term registration and management domain group management, code lookup Banned word/similar word management, term dictionary registration and management
Data model management	Registering and managing subject areas, registering and managing models such as entities and properties ER-Win model concatenation
Managing databases	DBMS tables, DBMS index registration and management Automatic creation of DDL and objects System DBMS Gap Analysis and Statistics
Other support tools	Metadata Request and Approval Process Standardized support tools, announcements, and integrated search Eclipse Terms Search and Use Tools Plug-in

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SFLOW

(Smart Data Integration)

SFLOW, which combines B2EN's data processing technology and know-how, is a solution for data collection and integration. It provides a data-driven business framework by easily and quickly collecting various types of data within and outside the enterprise and providing it to business systems and data analysis systems.

Benefits of solution

Configuration
It guarantees development productivity and consistent quality by applying a GUI-based setting method rather than a programmatic method.
Overall
It supports protocols such as HTTP, FTP, and JMS and provides various types of DB, File, and sensor data collection functions.
Realtime
By providing a real-time monitoring environment centered on dashboard and topology map, it is possible to quickly identify failures and establish a response system.
Enhancement
The value of data can be expanded through the big data platform direct linkage function for collected data.

Characteristic of SFLOW	Specifics
Service	Supports both HTTP and FTP protocol service methods and dedicated message communication methods between SFLOW agents Message relay enables online data processing even in network separation environments
Process	Provides a combination function between components to meet various data processing requirements Process design, version management, runtime distribution capabilities
Monitoring	Provides integrated monitoring through topology map-dashboard-processing history-detailed tracking Provides various alarm functions so that operators can quickly recognize and respond to failures
Remote Control	Distributed agent control and various inquiry functions provided by central system operator Providing patches and upgrades through smart updates