IoTSuite/DataInsight (Data Integration and Analysis Service)

Introduction

WISE-IoTSuite/DataInsight assists enterprises in establishing a multi-dimensional data integration platform to drive decision-making management with comprehensive data. DataInsight can connect multi-source heterogeneous data from enterprise systems, enabling unified querying, correlation, cleaning, transformation, and computational processing of the data. It achieves integrated analysis of OT and IT data, constructs different thematic databases centered around business aspects based on analysis results, establishes a data sharing platform, and provides multiple data access methods for integration with other applications. Currently, DataInsight is widely used in industries such as electronics manufacturing, metal processing, textile dyeing and finishing, smart mines, wind power energy, etc.

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

Low-Code Data Development Approach

It provides a unified SQL specification, allowing direct correlation and calculation across heterogeneous data sources while obscuring the differences between them. Leveraging the Spark big data computing engine, it offers over 300 built-in functions and supports Python custom functions to meet complex computational logic. Data updates support different methods such as incremental and full updates, catering to various scenario needs.
03

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.
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 Access Methods

It provides JDBC/ODBC and API methods for integration with third-party systems and is deeply integrated with our cloud platform's visualization service, VisualSuite, enabling direct visualization and analysis applications for data. It can also be used in conjunction with third-party BI tools such as PowerBI and Tableau.
06

AI-Powered Data Assistant with Natural Language Interaction

Leveraging large model capabilities, it enables intelligent querying through natural language, facilitating easy data retrieval, calculation, summarization, and download, lowering the barrier to data analysis and enhancing efficiency. In SQL development, it also offers functions such as natural language to SQL conversion, SQL interpretation, and SQL optimization.

Demonstration

Create Data Sources

Quick integration and analysis with diverse system connections in just three simple steps
SQL Low-Code Development

Unified SQL specifications to obscure differences among underlying data sources
Task Management

Offers unified task management and monitors task execution status
Data Theme Libraries

Constructs various types of theme libraries to establish a data sharing platform
Data Permission Settings

Assigns different permissions based on different resources for flexible data control
Data & Intelligence Assistant

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