DataInsight (Data Integration & Intelligent Data Analytics )

Introduction

DataInsight enables enterprises to build data-ready platforms that drive decision-making through intelligent analytics. Its core functions include: integrating multi-source data for end-to-end processing from querying to OT/IT fusion analysis; establishing a unified metrics platform to standardize key indicators like "production achievement rate"; and supporting scenario-based business topics with flexible querying for seamless application integration. These capabilities facilitate transparent monitoring, in-depth analysis, and root-cause tracing of critical metrics, empowering enterprises to maintain operational awareness. DataInsight has been successfully implemented across industries such as electronics manufacturing, metal processing, textiles, mining, and renewable energy.

Features

01

Rich Heterogeneous Data Access

SQL databases, NoSQL databases, time-series databases, file formats such as CSV and JSON, Rest APIs, SAP RFC, WebServices, and more can all be accessed into DataInsight through a simple three-step process, enabling unified data management.
02

Multi-Level Data Asset Management

It supports a multi-level data asset directory, allowing data to be categorized by application or theme, such as production, materials, equipment, personnel, and more, akin to categorizing books in a library for easy retrieval and application.
03

Standardized Business Definitions

The indicator platform supports the construction of a modular indicator system, allowing flexible grouping by business domains to help enterprises unify business definitions. Meanwhile, the platform offers diverse ways to apply indicators, truly achieving "define once, reuse everywhere; update once, sync everywhere."
04

Granular Permission Control Strategies

Through user role management, different roles have different operational permissions, and custom roles can be created based on requirements. Resource allocation enables different users to view different data, while team management allows for quick allocation of identical resource permissions to a group of people.
05

Multiple Data Application Methods

The DataInsight series offers comprehensive data service capabilities and provides multiple integration methods for different application scenarios: AI applications can connect via MCP Server; cross-system service integration can utilize its RESTful APIs; furthermore, the metrics application module also supports JDBC connections for direct access to managed metric definitions within the platform.
06

DataInsight Agent

The Data Analytics Agent establishes a complete closed-loop analysis process from data acquisition, computation, judgment, diagnosis to output. Through natural language interaction, it enables business users to achieve agile "ask-and-get" insights in a self-service manner, intelligently performs semantic parsing, metric extraction, and data computation, and relies on a unified metrics platform to ensure consistency in enterprise data definitions, thereby freeing up data teams' capacity and enhancing efficiency across the entire business decision-making chain.

Demonstration

Data & Intelligence Assistant

Intelligent natural language querying for easy data retrieval, calculation, summarization, and download
Data Permission Settings

Assigns different permissions based on different resources for flexible data control
Data Theme Libraries

Constructs various types of theme libraries to establish a data sharing platform
Metric Insight

Unified Definition and Centralized Management of Metrics
Metric Preview

Enables metric preview and multi-dimensional analysis
DataInsight Agent

The Data Analytics Agent enables business users to ask questions in natural language, automatically obtaining data insights to achieve barrier-free self-service analysis.