Manufacturing & IndustrialAI & GenAIData & Analytics

GenAI-Powered Data Insights Platform

Natural language queries to databases with visual insights

Client

Manufacturing Enterprise

Region

Asia Pacific

Key Outcomes

Real-time insightsSelf-service analyticsZero SQL required

Business Challenge

Business teams depended on analysts for questions that were simple in business language but difficult to express in SQL. Each request moved through a queue of clarification, query writing, validation, and report preparation, so answers often arrived after the decision window had passed. Giving users direct database access was not acceptable because schemas were complex, sensitive fields needed protection, and an incorrectly generated query could be expensive or misleading.

Solution Overview

DIATOZ built a governed natural-language analytics layer between business users and enterprise databases. The platform interprets a question using approved schema and business metadata, produces a constrained query, validates it before execution, and turns the returned dataset into a concise explanation and an appropriate chart. Access rules are applied before query generation so users only see authorized data. The interface also exposes the filters and assumptions behind each result, allowing users to refine a question and analysts to review how an answer was produced.

Architecture & Engineering

Managed database connectors with read-only credentials and source-specific connection policies

Semantic layer that maps business terminology to approved tables, fields, joins, and calculations

AI-assisted query generation constrained to authorized schemas and validated before execution

Role-based access controls and query guardrails for sensitive fields and costly operations

Visualization service that selects tables or charts from the returned data rather than model invention

Audit trail for questions, generated queries, execution status, and user-visible results

Technology Stack

ReactPythonNode.jsMySQLAWS

Business Impact

Business users can answer routine operational questions without waiting for a custom report

Analysts spend less time translating repetitive requests and more time on higher-value analysis

Shared business definitions improve consistency between generated answers and established reporting

Read-only access, validation, and auditability provide a safer route to self-service analytics

Text explanations and visual results make database insights accessible to non-technical stakeholders

Why DIATOZ

DIATOZ combined GenAI, data engineering, visualization, and security controls to make natural-language analytics useful without turning unrestricted model-generated SQL loose on production data.