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Data Governance & AI

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AI-Powered Data Utilization Capability

Beyond Keywords — A Data Service That Understands Intent and Context

Combining AI Search, LLM, and RAG, we deliver a data service that goes beyond keywords to understand intent and context.

Data & AI

Strategic Partnership with Megazone Cloud

16+ Years

DX Expertise

Big Data

데이터 패브릭으로의 전환

DW Appliance 중심의 IT 관리에서, 거버넌스·통합 저장·접근 가상화를 포괄하는 소비자 중심 데이터 패브릭으로 이동.

AI

추론·에이전트 기반 AI

키워드 검색은 의미 검색으로, 규칙 기반은 Agent 추론으로, 고정 화면은 대화형 인터페이스로 전환.

User

현업 중심 데이터 활용

데이터 위치·접근 방법에 구애받지 않고 품질이 보장된 데이터를 누구나 자기 언어로 사용할 수 있어야 함.

We Provide

통합 데이터 활용을 위한
Single Gate Platform

전사 데이터를 한 곳에서 검색·신청·활용

표준화·메타·계보·권한 이 자동으로 따라붙는 거버넌스

정형·비정형을 자연어 한 번으로 답변하는 AI 서비스

Integrated Search

Unified Search by Business Term

Search Tables, Views, Reports, Datasets, and Dashboards all at once

Results grouped by asset type, with previews

Improved search accuracy through standard term and synonym mapping

TEXT - TO - SQL

Natural Language Queries for Structured Data

Automatic conversion from natural language to SQL, execution, and a natural-language response

Accuracy grounded in standard terms, schema, and column descriptions

Results are instantly visualized and downloadable as tables, charts, or Excel files

TEXT - TO - DOCUMENT

Natural Language Queries for Unstructured Documents

An automated OCR, chunking, and embedding pipeline

Hybrid search (keyword + vector) with semantic ranking

Answer reliability backed by cited source documents and page references

Hybrid

Search Accuracy

Vector + keyword semantic search

RAG

Reliable Answers

Grounded in internal data, with sources cited

Multi

User Channels

Integrated with Web, Teams, and API

Azure

Enterprise

Security and compliance

Pain Point

Why Do So Many Companies Accumulate Data but Never Really Use It?

Data keeps piling up, but it's never actually usable for decisions. Here's what we hear directly from the field.

01

"Every department has different numbers — whose data is actually right?"

Because each department uses different data standards, executive reports turn into number disputes every time.

Data Silos
No StandardizationDelayed Decisions

02

"We adopted AI, but we can't trust the results."

Low data quality means the AI's output is often wrong. Frequent hallucinations mean business teams don't trust the results.

Data Quality
HallucinationAI Reliability

03

"It takes days just waiting on the IT team for one report."

To see data, business teams have to request it from IT and wait days. Self-service analysis is essentially impossible.

IT Dependency
Analysis BottleneckBusiness Team Independence

Data Governance & Standardization Capability

Managed End-to-End — From Standard Terms to Asset Permissions

Data with the same name means the same thing — standards and permissions are automatically applied at every step of search, request, and use.

01Standard Word Management›

02Standard Term Management›

03Standard Domain Selection›

04Tech Meta Auto Mapping›

05Asset Permission Management

Standard Words, Terms, and Domains

rom registering standard words to auto-generating English abbreviations, AI-recommended synonyms, and domain selection — an asset's English name is automatically linked to the standard term, so anyone can instantly understand what a column means.

Metadata & Data Lineage

Automatically collects Tech, Biz, and Operational metadata, and visually traces the flow from source to analytics tables. Impact analysis and change assessment are both possible in a single view.

Asset & RLS Permission Management

Dynamically applies asset-level access control and Row Level Security (RLS), together with a request → approval → revocation workflow and audit logs for every event.

Unified Search & My Data

Search tables, views, reports, datasets, and dashboards all at once, using business terms. Popular searches, favorites, and your own search history speed up data discovery.

Governance isn't a separate tool — it's built into the data usage flow itself, with standards and permissions automatically applied at every step of search, request, and use.

Before & After

What Changes Before and After Adopting GoData GRAI?

From standard words to permissions and AI use — a single governance layer solves all four areas at once.

Before (Manual & Legacy)

After (Smart Workplace)

Company-Wide Metrics

Different definitions by department, recurring number disputes

Unified standard words/domains, single metrics system

Business-Team Analysis

Days of waiting after an IT request

Instant natural-language query responses, self-service

AI Results

Unclear sources, frequent hallucinations

Governance-grounded responses with sources and evidence

Data Security

Manual permission management, persistent leak risk

Automatic Row Level Security (RLS)

Integrated Structured & Unstructured Analytics Service

One Natural-Language Query Combines SQL and Document Search Results

The AI Agent interprets the intent of your query, combining structured SQL results with unstructured document search results into a single natural-language answer.

User Query

Natural Language

Intent Parsing & Decomposition

LLM Agent

Structured + Unstructured

Parallel Processing

Result Merging

RAG Synthesis

Natural-Language Answer

Web · Teams

Usage scenarios

What are the 2026 outstanding receivables by site, and their main causes?

Structured: Auto-generates and runs SQL to total receivables by site

Unstructured: Searches reports/meeting notes for causes

Combined: Delivers figures and causes in one natural-language answer

Provided based environment

Microsoft Fabric · Azure
Integrated with OneLake, Data Factory, Power BI, and Purview

Open AI · AI Search
PTU/consumption models, with built-in guardrails and content filters

Bidirectional API · Self-BI
Live connections to Excel, Power BI Desktop, and external BI tools

From data governance to the AI Agent — designed and built as one continuous flow.

Case Studies

Microsoft Solution Projects Delivered Across a Range of Industries

Finance / Payment Infrastructure

Hyosung TNS

Automated reporting and shortened decision-making time through an integrated data platform

Implementation Solution

Power BI Embedded, Microsoft Fabric

Key Features/Achievements

KPI Dashboard and Standard Reports

Chemicals / Manufacturing

Korea Alcohol Industrial

Built a multilingual, global data collaboration framework through a combined structured/unstructured AI search feature

Implementation Solution

Azure OpenAI, AI Search RAG Pipeline

Key Features/Achievements

Process Data + ESG Reporting System

Global Trading Company

POSCO International

Implemented data lineage and security controls through Self-BI and Microsoft Purview integration

Implementation Solution

Microsoft Purview, Self-BI, Microsoft Fabric

Key Features/Achievements

Data Governance, Standardization, and Quality Management System

Contact Us About Data Governance & AI

Our expert consultants will review your requirements and suggest the optimal implementation strategy.

Request a Consultation →

Data Governance & AI

AI-Powered Data Utilization Capability

Beyond Keywords — A Data Service That Understands Intent and Context

16+ Years

데이터 패브릭으로의 전환

추론·에이전트 기반 AI

현업 중심 데이터 활용

통합 데이터 활용을 위한Single Gate Platform

Hybrid

RAG

Multi

Azure

Pain Point

Why Do So Many Companies Accumulate Data but Never Really Use It?

"Every department has different numbers — whose data is actually right?"

Because each department uses different data standards, executive reports turn into number disputes every time.

"We adopted AI, but we can't trust the results."

Low data quality means the AI's output is often wrong. Frequent hallucinations mean business teams don't trust the results.

"It takes days just waiting on the IT team for one report."

To see data, business teams have to request it from IT and wait days. Self-service analysis is essentially impossible.

Data Governance & Standardization Capability

Managed End-to-End — From Standard Terms to Asset Permissions

Standard Words, Terms, and Domains

Metadata & Data Lineage

Asset & RLS Permission Management

Unified Search & My Data

Before & After

What Changes Before and After Adopting GoData GRAI?

Integrated Structured & Unstructured Analytics Service

One Natural-Language Query Combines SQL and Document Search Results

Case Studies

Microsoft Solution Projects Delivered Across a Range of Industries

Hyosung TNS

Korea Alcohol Industrial

POSCO International

Contact Us About Data Governance & AI

통합 데이터 활용을 위한
Single Gate Platform