Viettel AI | Data Management and Analytics Platform

Advantages

Extract information

50 chart types are available, allowing for the granular customization of the chart using HTML and CSS.

In-depth report

Diverse forms of data connection including SQL, NoSQL, Big Data, file, Cloud databases...

Provide in-depth reporting system

5 machine learning algorithms directly integrated on the graph: Prophet, ExponentialSmoothing, ARIMA, RegressionModel, RNNModel.

Feature

Support to build Data Lake, Data Warehouse

Collect and process multi-sourced, multi-structured data, optimal storage capacity according to space and processing speed.

Support building Intelligent Report

Data mining tools, building visual reports, diverse.

Provide the right packaging solution

Provides a variety of packaging solutions and data libraries for businesses.

Technology

Big data, storage, processing and computation

United data infrastructure Centrally manage data and analytics processes in one platform regardless of data sources, types, sizes, and processing complexity. Big Data Processing (Hadoop) Provide distributed storage and processing of big data using the MapReduce programming model. Real-time data stream processing Manage continuously generated events, website visits, IoT sensors, and customer transactions.

Integrated DPI, Crawl technology

Built-in ETL tools Create DAGS for batch jobs with built-in operators including database migration, data preprocessing. Business Intelligence Tools Combine data collection, data warehousing, and knowledge management with data analytics to evaluate and transform complex data into data outputs (dashboards, reports, etc.)

Viettel AI Open Platform

Automatic Machine Learning (Auto ML) Provides a web interface to handle the full flow of machine learning from preprocessing to modeling and inference.

Application

For the government: - Building data assets (data lakes, data warehouses, data marts...) on the national economy, society and demographics for long-term analysis in the future.

For organizations - Provide a unified platform to manage data at all levels intuitively and in real time. - Digitize data in a standard and unified way, creating a foundation to promote digital transformation in the organization. - Save time and reduce human errors in data analysis/reporting. - Provide big data reporting/analysis for strategy development and data-driven decision-making processes.