Business Areas

Data Management

Integrated Data Governance Environment to Increase Data Value

Establish a systematic governance environment that maximizes the value of data assets

Based on the Data Quality Governance Platform, Data Management provides an optimal environment for converting scattered data within an enterprise into trusted business assets. By standardizing quality and establishing a management system throughout the data life cycle, it lays the foundation for enterprises to make data-driven decisions and make sustainable AI transitions even in complex business environments.

WHY, Data Management?

Successful AI Model Starts With Flawless Data

In addition to managing and standardizing data quality, WISEiTECH's Data Management provides a differentiated "Data Quality Governance Platform" that extends management to applications and source codes. By tracking and proactively blocking the causes of data errors at the system level, it ensures the integrity of the entire digital asset, from data to code. This allows companies to minimize the cost of failure to deploy AI and lay the foundation for the safest and most reliable enterprise AI innovation.

AS-IS
(Risk of data quality degradation)
Resulting in biased results

Most data quality problems that impede AI performance are caused by system problems such as application changes or code defects

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TO-BE
(Data Management)
Integrated governance from data to source code

Integrated management of data, applications, and source code through a 'data quality governance platform'

Key Features

Comprehensively manage the quality, reliability, and stability of data, applications, and source codes to lay the foundation for AI innovation
Data Management

Complete a quality framework that encompasses the entire data, from data quality management to application and source code

AI-powered intelligent data governance

Automate data standardization tasks that relied on manual labor through the AI standard term recommendation tool 'Data Butler', and maximize management efficiency through error detection and automatic purification using AI

Ensure data reliability

Always-on monitoring to diagnose data accuracy, consistency, and provide data integrity with proven technology as an official quality control tool

Preemptive Impact Analysis

Proactively analyze system impact when changing program or data structure to prevent system failure and minimize risk of change

Source Code Security Integration

Proactively check and analyze source code security vulnerabilities to ensure software security and stability

Proven regulatory response and compliance with standards

Fully support national and industrial standards such as public data quality control level assessment by the Ministry of Public Administration and Security

High-quality data management for AI learning and business decision-making
Data Quality Governance Platform

Product Line-up
  • Data Quality trust
    WiseDQ

    Data Quality Management Solution that Systematically Ensures Data Accuracy, Consistency, and Completeness

    Cross-Table Relationship Analysis and Redundancy Analysis Profiles
    Managing Verification Rules and Code
    Quality Measurement Scheduling (Skima, Profile, Business Rules, etc.)
    Data Error Cause Analysis
    Diagnosis in compliance with common and institutional standards
  • Metadata Governance
    WiseMeta

    Metadata management solution that systematically manages all metadata, including data standards, models, and data flows

    AI-based standard terminology recommendation function 'Data Butler'
    Automatic segmentation of standard terminology and domains
    Metadata Flow and Impact View
    Gather table, column, and index information by DBMS
    Real DB and Standard Terminology GAP Analysis
  • Application Impact Analysis
    ASTA

    An integrated package solution that provides impact analysis and quality control processes by using application source code as a medium

    Provide application structure information and quality metrics
    Analyzing the impact of program changes
    Database Object Analysis
    Flexible connection of related systems
    Automatic output generation
  • Source Code Security Analysis
    Code Insure

    A solution that helps strengthen source code security by proactively identifying and assessing security vulnerabilities in the source code

    Standard Compliance Source Code Analysis
    Program Analysis and Statistics Dashboard
    Add and modify regular expression-based check rules
    Handling and managing exceptions to detection results
    Summary and detailed report of analysis results

Need help?

Email contact@wise.co.kr
Call 02-6246-1400
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