Application strategy of DATAWARE in implementation of next generation system

Your development productivity can be improved by the application of DATAWARE solution in all processes.
In addition to saving resources such as manpower and time required,
we support high-level data quality and standardized management system to support successful next generation system implementation.

Build a successful next-generation system by DATAWARE

• 01

  Utilization of As-Is analysis stage Using AP# during As-Is analysis step for application impact analysis

• 02

  High quality data structure
  design support High quality data structure design using the data modeling tool DA# and
  the data metadata management solution META#

• 03

  Rapid table change response Optimized for rapid table change response by supporting design(ERD) based table change management during development

• 04

  High level of data quality High quality data can be secured and
  maintained from the beginning of the project

• 05

  Optimize Data change management Optimization of change management through data migration management based on data model

• 06

  Systematic development support Systematic development support through permission management such as data model and
  table creation by project member

Using specialized data solutions from data modeling to meta management

High data quality by establishing a systematic enterprise data management system

• CompanyL Telecom
• ProjectBuild data management system
• Term16.11 ~ 18.06

• Goal

  By establishing an enterprise data management system and establishing an enterprise metadata standard dictionary, the data model-based table change process is continuously operated to ensure data structure quality.

• Objectives

  Establish the foundation for the introduction of next-generation architecture through technology verification and standardization

  1. 1

     Incorporate existing individual standard dictionaries into a company-wide metadata dictionary

  2. 2

     Enhance development productivity and convenience by building an integrated management system for the operating environment and project execution environment

  3. 3

     Secure an excellent quality of data by adopting a data model-based table change process

• Technologies

  ▪  Data modeling solution: DA#
  ▪  Metadata management solution: META#
  ▪  Data quality management solution: DQ#
  ▪  Application impact analysis solution: AP#
  ▪  Data migration solution: ETT#

• Architecture