Data & Analytics

Data Integration & Analytics

Market Perspective Competitiveness Build What's Next Insight Partnerships Product Line-up

Market Perspective

In an era where the speed of data flow determines market dominance

In today’s business environment, competitive advantage depends not on the volume of data but on the speed of data flow and analysis. Data is a strategic resource in constant motion, and its true value is realized when it is connected and analyzed in real time.

By 2025, 80% of data will be unstructured or real-time.

70% of enterprises struggle with decision-making despite having an analytics infrastructure.

By 2025, over 25% of enterprise data will be generated and processed in real time.

Integrated data organizations achieve 3x faster analytics and improved strategic accuracy.

Competitiveness

Enterprise-Grade Data Integration Design and Analytics Expertise

We architect data flow frameworks precisely aligned with your organization's unique characteristics and strategic objectives. Understanding when, where, and how data should move is critical. This precision in design directly translates to real business value, supported by industry-specific reference models and proven implementation methodologies.

Enterprise-Grade Data Integration Design Capability

RockPLACE excels at precisely designing and optimizing data flows to match your organizational structure and business objectives. We understand exactly when, where, and how data should move, and deliver real value through industry references and proven methodologies.

Large-Scale and Scalable Real-Time Data Streaming Technology

Leveraging cutting-edge event processing technologies, we engineer scalable streaming architectures that maintain reliability under high traffic volumes. Our zero-downtime migration and consistent data flow design—across on-premises, cloud, and hybrid environments—breaks through the limits of business continuity.

Business-Led Self-Service Analytics Capability

We provide a differentiated self-service analytics platform enabling business users to filter data, monitor KPIs, and generate reports independently, accelerating decision-making. Dashboards and visualization templates optimized for roles and objectives reduce report creation time by 80% and significantly accelerate decision-making.

Business-Centric Integrated Architecture Philosophy

We engineer data environments seamlessly integrated with your business processes and decision-making frameworks, ensuring technology drives tangible business outcomes. We provide practical analytics scenarios such as risk management and yield analysis, and build systems that enhance real-time accessibility and business responsiveness, ensuring data drives real business value.

Build What's Next

Data Strategies That Create Business Value

When managing vast data volumes, defining clear strategic objectives is essential to maximize value. Effective data strategies begin with a deep understanding of business processes and organizational structure. By clearly defining the business value of data and building analytics frameworks that support strategic decision-making, you can achieve tangible results.

Purpose-Driven Data as the Source of Business Value

Effective data strategies start with a deep understanding of business processes and organizational structure. Identifying the key data required for decision-making and focusing on business outcomes is essential to realizing data value.

Offerings

Data Strategy Development

Data Structure Assessment

Definition of Analytics Targets

Establishing Integration Scope and Priorities

Data Operations Architecture Design

Analytics Governance Configuration

Unlimited Possibilities Unlocked by System Integration

Modern event streaming technologies flexibly integrate heterogeneous systems, enabling data to flow freely across the organization. This connectivity maintains the stability of existing systems while providing the agility to respond quickly to business changes.

Offerings

Event Streaming Architecture Design

Connector and Security Policy Configuration

Real-Time Message Monitoring and Automated Rebalancing

Integrated Multi-Cloud Connectivity Strategy

High Data Quality for Accurate Decision-Making

Data quality should be embedded from the design phase, rather than relying solely on post-implementation verification. By detecting and automatically handling errors in real time during collection and transformation, we deliver a reliable analytics environment without the need for separate data cleansing.

Offerings

Defining Data Quality Standards

Data Error Validation

Exception Handling Scenario Design

Quality Alert Architecture

Quality Log Visualization

Dell XE9680 / R760xa / XE8640 and more

In real-time data processing, continuity is more critical than speed. CDC (Change Data Capture)-based replication technology maintains data flow and consistency even in failure situations, enabling real-time synchronization and non-disruptive migration.

Offerings

Designing Real-time CDC

Strategies for Non-Disruptive Migration

Configuring Real-time Replication Between Heterogeneous DBs

Establishing Real-time Monitoring and Integrated Management for Operational Status

Optimizing Data Operations Through Perfect Visibility

End-to-end real-time monitoring of the data lifecycle, from collection to analysis, is crucial for early detection of potential issues. Proactive management and optimization approaches significantly enhance the stability and efficiency of data pipelines.

Offerings

Designing Operational Dashboards

Visualizing Integration workflows

Monitoring Quality Status

Preemptive Alert Structure

Automating Anomaly Detection

Empowering Organizational Decision-Making Through Data Democratization

True value is realized when all decision-makers can access data in a timely manner. A self-service environment where business practitioners can explore data and derive insights independently enhances the speed and accuracy of decision-making.

Offerings

Designing and Integrating BI Tools

Configuring KPI-Based Visualizations

Providing Report Templates

Real-time Filtering and Permission Separation

Setting Up Automated Reports

Insight

Key business trends & customer references

RockPLACE enables actionable insights by orchestrating end-to-end data integration, analysis, and visualization across diverse industries. By implementing context-driven data integration and analytics frameworks, we accelerate decision-making and drive operational excellence.

Market Perspective

Data Strategy Powering AI: The AI-Native DB Transforming Business Operations

Market Perspective

Data Strategy Powering AI: The AI-Native DB Transforming Business Operations

This paper examines how an AI-Native DB transforms data from mere storage into real-time operational assets. It presents business innovation strategies based on four key components of AI-Native DB: vector search, natural language query, embedded machine learning, and streaming data analytics.

Use Case

Event Streaming-Based Real-Time Fraud Detection System - Global Leading Game Company K

Use Case

Event Streaming-Based Real-Time Fraud Detection System - Global Leading Game Company K

Leading Game Company K, which previously processed large-scale game logs through daily batch jobs, implemented a streaming platform to collect global server logs in real time and instantly detect abnormal behavior. This unified their operational solutions, reduced personnel resources, and strengthened fraud prevention and service stability.

Use Case

Strengthening Quality Competitiveness through Non-Stop Master Data Migration - Global Semiconductor Leader H

Use Case

Strengthening Quality Competitiveness through Non-Stop Master Data Migration - Global Semiconductor Leader H

Global semiconductor leader H needed to restructure the code system of key master data. To achieve this, they built a proactive architecture that predicts the impact of master data changes across the system and automatically restores data flow after modifications. As a result, operational lead time was reduced by 65%.

Use Case

Strengthening Decision-Making Capabilities with a Self-Service Analytics Environment - Korea's Largest Insurance Group H

Use Case

Strengthening Decision-Making Capabilities with a Self-Service Analytics Environment - Korea's Largest Insurance Group H

Leading insurance company H relied on manual reporting, which limited analysis speed and accuracy. To address this, a self-service data analytics environment was implemented. As a result, report generation time was reduced by over 70%, while the speed and accuracy of data-driven decision-making improved.

Partnerships

We partner with the best global vendors.

Confluent

A leader in the event streaming market, providing streaming data architectures that process integrations between various data sources and systems in real-time.

Oracle

Certified as a data platform leader, delivering enterprise-grade solutions for real-time data replication and change data capture (CDC), enabling robust architectures for data synchronization, availability and enterprise-scale integration.

Salesforce

The world's #1 CRM, with comprehensive customer management capabilities across marketing automation, customer experience (CX), and data integration platforms.

Product Line-up

Discover proven enterprise solutions.

Confluent Platform

A full-scale data streaming platform that simplifies and streamlines the access, storage, and management of continuous real-time streaming data. Developed as the enterprise version of Apache Kafka, it is used by over 80% of the Fortune 100, facilitating data connectivity and real-time analytics between applications, and simplifying data-driven decision-making and large-scale system operations.

Oracle GoldenGate

A real-time data replication and integration solution that synchronizes data changes across heterogeneous systems with minimal latency, enabling zero-downtime migrations, disaster recovery configurations and real-time analytics environments across mission-critical systems.

Microsoft Power BI

Microsoft's business intelligence and data visualization platform, Power BI, connects to a variety of data sources, allowing business users to intuitively analyze and share data. Its interactive dashboards and reporting features transform complex data into easily understandable insights, supporting data-driven decision-making across the organization.

Tableau

A powerful data visualization and analytics platform enabling intuitive exploration of complex datasets through drag-and-drop interfaces. Real-time integration and advanced visualization drive actionable business insights and foster a data-driven organizational culture.