Data Consulting | 오픈메이드컨설팅

Consulting

Data Consulting

Openmade 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.

As-Is Architecture Analysis

Define Subject Areas
Derive Conceptual/Logical Models
Define Code System
Define Distribution/Flow/Sharing
Define DBMS System/Configuration
Security Analysis

Target Architecture Requirements

Identify Current Issues
Analyze Business Requirements
Review Advanced Reference Models

Establish Target Architecture

Define Subject Areas
Define Enterprise Conceptual Model
Define Conceptual/Logical Models
Define Physical Model
Define Standardization
Define Distribution / Flow / Sharing
Define DBMS Configuration System
Define Security Targets & Rules

GAP Analysis

Scope for Improvement
Improvement Tasks & Priorities
Impact Analysis (App, DBMS), etc.

Establish Implementation Plan

Data Migration Plan
Migration Scope & Agents
Migration Procedure
Transformation / Verification / Cleansing Plan, etc.

Data Modeling

Customized data modeling consulting for efficient data management

Data modeling is the key to systematically and consistently managing an organization's data. Openmade Consulting's services focus on defining data structures that meet the client's business requirements and maximizing business performance through optimized data.

1. Establish conceptual, logical, and physical models

• Conceptual Model: Design the flow of information by identifying key business entities and defining the interrelationships of data.

• Logical Model: Design a logical structure that reflects both technical and business requirements by clarifying data relationships and rules.

• Physical Model: A detailed physical design to optimize database performance, maximizing data storage and management efficiency.

2. As-Is/To-Be Analysis and Modeling

• Identify problems with the data structure through current system analysis and suggest future improvement directions.

• Establish a data management system that reflects future goals to ensure efficient and consistent data flow.

3. Customized data modeling approach strategy

• We provide customer-tailored solutions at every stage from defining data requirements to modeling and implementation to support stable data operation.

• We provide an integrated approach to data management through close collaboration with business units and IT teams.

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 Quality 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

Data standardization services for efficient data management and business consistency

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: Maintains 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.