1.K organization, meta based companywide data governance

Customer Requirements

  • Data quality levels are low even after several system reforms
  • Homonym, synonym, domain, code related data quality issues have occurred
  • Lack of data change management systems for table changes etc

 

 Results

  • Data standard management function

– Data standard management , standardization utilization and standard observance checks

  • process linkage

– Unify internal approval in linkage with ITSM
– Establish table change management processes in linkage with Case Tools

  • Other management functions

– ERD view
– Metadata collection and scheduling
– Standard fidelity/ observance checking function
– Establish permanent quality monitoring systems in linkage with data quality management systems and impact analysis systems

 

Effect of introduction

  • Established meta based data quality management systems and base systems to improve data quality
  • Established systematized data change management processes in linkage with internal approval processes

 

2.S Bank metadata management system

 Customer Requirements

  • Lack of data management systems (was selected as one of 109 next generation core tasks of Dae-gu Bank)
  • Data and IT related Architectures that can manage data models and data quality levels are necessary

 

Results

  • Establish systems to support standardization

– functions to support data standardization management systems and model management systems
– functions for companywide integrated code and table creation management and transmission systems(transmit integrated codes and standard information to MCI,F/W and integrated terminals through EAI)

  • Establish meta based data quality control systems

– Establish systems to verify data value quality based on meta standards and model information
– Establish error data rearrangement systems

  • Establish data impact analysis systems

– Establish a base of searches for information on objects that are affected by changes in standards or models(application information is provided in linkage with impact analysis tools)

 

Effect of introduction

  • Established “systematic data management” linked with the metadata management system
  • Established data model management environments optimized for business support and equipped with performance and stability
  • Established a metadata management based system to continuously control data quality levels

 

3.K organization, meta based companywide data governance
Customer Requirements

  • Data quality levels are low even after several system reforms
  • Homonym, synonym, domain, code related data quality issues have occurred
  • Lack of data change management systems for table changes etc

 

 Results

  • Data standard management function
    – data standard management , standardization utilization and standard observance checks
  • Process linkage
    – unify internal approval in linkage with ITSM
    – establish table change management processes in linkage with Case Tools
  • Other management functions
    – ERD view
    – metadata collection and scheduling
    – standard fidelity/ observance checking function
    – establish permanent quality monitoring systems in linkage with data quality management systems and impact analysis systems

 

Effect of introduction

  • Established meta based data quality management systems and base systems to improve data quality
  • Established systematized data change management processes in linkage with internal approval processes