
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.
[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.
- Data quality managing efficiency improvingBy 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 qualityBy 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 managingError 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 |
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Providing the quality specifications after Ministry of Public Administration and Security |
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Simple but Smart quality test |
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Fast and Convenient quality checking |
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OPEN SOURCE S/W based solution |
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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.
- Reliable standard metadata managementTo 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 managementEnables 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 |
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Data standard management |
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Data model management |
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Managing databases |
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Other support tools |
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B2EN's data management solutions have been used for quality diagnostics and data standard management in many projects.







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