Consulting
Data Consulting
Open Made Consulting is
Data architecture, data modeling,
We provide consulting services for the entire data environment of a company, including DB & SQL tuning, DB management, data quality management, and data standardization.
Data Architecture
Data architecture consulting for establishing innovative data strategies and introducing optimized data management systems
Openmade Consulting's data architecture consulting service focuses on establishing a customized data architecture that meets the client's business goals and building a systematic and consistent data management system. This maximizes the value of data and optimizes business operations.
Data Modeling
Customized data modeling consulting for efficient data management
데이터 모델링은 조직의 데이터를 체계적이고 일관되게 관리하기 위한 핵심입니다. 오픈메이드컨설팅의 서비스는 고객의 비즈니스 요구 사항을 충족시키는 데이터 구조를 정의하고, 최적화된 데이터를 통해 비즈니스 성과를극대화하는 데 초점을 맞추고 있습니다.
1. 개념적, 논리적, 물리적 모델 수립
• 개념 모델: 주요 비즈니스 엔티티를 파악하고 데이터의 상호 연관성을 정의하여 정보의 흐름을 설계합니다.
• 논리 모델: 데이터 관계와 규칙을 명확히 하여, 기술적 요구사항과 비즈니스 요구사항을 모두 반영한 논리적 구조를 설계합니다.
• 물리 모델: 데이터베이스의 성능 최적화를 위한 세부적인 물리적 설계로 데이터 저장 및 관리 효율을 극대화합니다.
2. As-Is/To-Be 분석 및 모델링
• 현재 시스템 분석을 통해 데이터 구조의 문제점을 파악하고, 향후 개선 방향을 제시합니다.
• 향후 목표를 반영한 데이터 관리 체계를 구축하여 효율적이고 일관된 데이터 흐름을 보장합니다.
3. 맞춤형 데이터 모델링 접근 전략
• 데이터 요건 정의부터 모델링, 구현까지 모든 단계에서 고객 맞춤형 솔루션을 제공하여 안정적인 데이터 운영을 지원합니다.
• 비즈니스 현업 부서 및 IT 팀과의 긴밀한 협력을 통해 데이터 관리의 통합적 접근을 실현합니다.
DB & SQL Tuning
DB & SQL tuning service that maximizes database performance and ensures stable system operation
Optimize the performance of your database system and improve resource efficiency.
We provide professional DB & SQL tuning services to maximize your performance.
Openmade Consulting's DB tuning service accurately diagnoses the status of the system,
We present a wide range of optimization methods, from database structure to SQL query performance.
Dramatically improves data processing speed.
1. DB performance diagnosis
• Clearly understand the current performance status of the database system through various analysis techniques,
We support stable system operation by predicting problems that may occur in the future in advance.
2. DB performance enhancement
• Systematically analyze various performance degradation factors (inappropriate data structure, poor index design, inefficient resource use)
Identify areas of improvement and dramatically improve database performance through optimization work.
3. DB Parameter Tuning
• Optimize database resource utilization through memory management and SGA/PGA tuning.
Improves the overall performance of the system.
4. DB Access Efficiency Tuning
• Analyze the performance of SQL queries and optimize problem queries.
Significantly improves data access speed.
5. Resource contention tuning
• Analyze resources such as CPU, memory, and disk I/O to reduce inefficient use;
Adjusts for optimal performance.
6. DB operation policy tuning
• Overall database operation, including table space and partition policy
Maximize system efficiency by establishing optimized policies.
Data Administrator
Support services for stable database operation
Openmade Consulting provides efficient database operation and management.
We provide professional DBA outsourcing services.
From customer DBMS design to operation and maintenance
We take responsibility for overall DB management and help maintain optimal performance.
1. DBMS design and optimization
• Physical design and index definition
• Schema management and script management
• Establish a database backup and recovery system
• Performance management and testing support
• Connectivity optimization through linkage with external systems
2. Establishment of DB management system
• Establish and comply with database standards
• Provides SQL query and stored procedure optimization guide
• Management of table structure and operation manual
• Establish security policies and manage permissions
3. DB system monitoring and analysis
• Performance monitoring of server resources and DB resources
• Traffic analysis and capacity planning
• Diagnose and optimize performance issues to maximize operational efficiency
• Resolve system and user access issues
Data Qulity Management
A service that realizes reliable business performance with high-quality data
Data quality is a critical element in achieving an organization's strategic goals. Openmade Consulting's data quality management service ensures the accuracy, consistency, accessibility, timeliness, and security of data through systematic quality standards and standardized management processes, providing a strong foundation for the success of our customers' business.
Data quality criteria
• Accuracy: Evaluate whether the data matches actual facts.
• Consistency: Ensures that data does not conflict with each other and is consistent.
• Usability: Manage data so that it meets the needs of the people in your organization who use it.
• Accessibility: Evaluate whether necessary data can be accessed in a timely manner.
• Timeliness: Ensures that data is available when needed.
• Security: Keeps your data secure and prevents unauthorized access.
Data Quality Management Process
1. Data Profiling: Analyze the current data status to identify problems.
2. Data Quality Management: Take steps to ensure the accuracy and reliability of data.
3. Data Integration: Integrate data from various sources to provide consistent data.
4. Data Enrichment: Supplement data to provide greater value.
5. Data Monitoring: Continuously monitor and improve data quality.
Benefits of Data Quality Management
• Enhanced Trust: Supports trustworthy decision-making through high data quality.
• Cost savings: Reduce resource waste due to data errors and increase operational efficiency.
• Improve business agility: Improve business response speed with fast, accurate data access.
Data Standardization
효율적인 데이터 관리와 비즈니스 일관성을 위한 데이터 표준화 서비스
Data standardization is the process of defining data elements such as terms, domains, and codes used within an organization in a consistent format and content. This ensures data quality within the information system and maximizes the efficiency of data integration and utilization.
The need for data standardization
• Improved data quality: Standardized data minimizes errors and is managed consistently across all systems within an organization.
• Increased work efficiency: Prevents confusion in data interpretation and supports smooth collaboration between departments.
• Reduce costs: Reduce unnecessary data modification work due to non-standardized data and increase data reusability.
Data Standardization Management Elements
• Standard vocabulary: Avoid confusion by defining terms commonly used across your organization.
• Standard domain: Maintain data consistency by defining the scope to which specific data belongs.
• Standard terminology: Standardize the terminology used to describe and define data.
• Standard Code: Standardize the format of the code applied to your data so it is managed in the same way across your systems.
Data Standardization Process
1. Define standard elements: Define the main elements that make up the data.
2. Standardize words: Standardize the words used in your organization to ensure consistency.
3. Domain standardization: Define and manage the domain to which your data belongs.
4. Define standard terms: Define standard terms to clarify the meaning of the data.
5. Code standardization: Manage the code used in the data in an integrated manner.