Our Solutions

We solve the problems in big data challenges (data silo/data quality)

Finance, HR, marketing, sales, R&D teams, and other departments need different information and different processes to do their work.Different software systems are used in those organizations.
Their data are stored separately in different locations known as data silos. As the quantity and diversity of data assets grow, data silos also grow.
Siloed data creates barriers to information sharing and collaboration across departments.
It makes difficult for business leaders to get a holistic view of company operations.
Our Solutions enable the integration of all corporate data on the regular base into a cloud-based data warehouse or data lake - a central data repository optimized for efficient analysis, so that all data from different sources can be synchronized and processed based on business needs to form a unique pool of high-quality data, which can be easily accessed by individual and groups under the proper authorization and authentication mechanisms

Real-time data analytics is an emerging trend that is transforming the way businesses and organizations analyze data, make informed decisions, and optimize operations.
However, the real-time data analytics requests high-speed data processing of large amount of data which can generate the accurate output.
Traditional data processing systems may not be capable enough of handling the high velocity of data generated in real-time.
Our solutions utilize the latest technologies such as in-memory computing, streaming processing, parallel processing, high-speed OLAP database… to collect and process the real-time data from multiple data sources simultaneously on millisecond level.

In big data era, the data volume increases dramatically. If the data processing infrastructure is not able to grow along with the increasing data volume, the bottlenecks will soon occur in the big data and analytics workloads.
Therefore a highly scalable frame work is essential to avoid the resource limit in system.
Our solutions leverage the latest cloud computing technologies, providing easy scaling up (Increasing CPU power or enlarging memory) or scaling out (more servers for parallel computing) without changing the current software architecture and workflow. With such solution, they system can always keep the most efficient configuration to ensure the best balance between performance and cost

SERVICE

Understand end-customers by analyzing their buying patterns and creating customer profiles.

In Industry 4.0 era, Industrial Internet of Things (IIoT) is one of the most important components.

Big data processing engine plays the role as a car engine, which intakes, cleans and organizes the data for analysis.