Solutions for the Logistics and Transportation Industry

For the logistics industry, simply maintaining the supply chain is not competitive. The supply chain must be constantly reviewed, strengthened and evaluated in order to gain more opportunities. The era of big data brings severe challenges to the informatization of logistics enterprises, which is how to improve their logistics service level through big data analysis. The logistics industry is closely linked with material suppliers, product manufacturers, wholesale retailers, and consumers, and the amount of data involved is huge and has a certain economic value. The application of big data analysis can process these data quickly and efficiently, and obtain potentially valuable information, which has a strong role in promoting the development of the logistics industry.

Finance and Insurance Solutions

Finance and insurance industry itself does not have processes such as physical production and logistics. It is itself a collection of data production, processing, storage and transmission. Their business trading system runs huge amounts of trading data in real time every day. Big data is a support and grasp for reshaping the financial competition pattern. Its effective use will drive the development of the entire industry and bring innovation momentum to the entire financial system.

From business model to channels, products and services, "transformation" and "innovation" have become the key words of the finance and insurance industry. At the same time, the development of big data will also promote the continuous emergence of various new business formats such as Internet finance and mobile finance.

Retail and e-Commerce Industry Solutions

A well-known online retail company, its customers and business in Europe are growing rapidly, but it still faces some challenges, such as the requirements of digital transformation, which require companies to analyze and judge the market situation and operating efficiency based on data.

Therefore, the enterprise decided to adopt the solution of building a data warehouse platform on Amazon cloud, using the powerful computing power of EMR cluster to clean and convert the data, and using Amazon Simple Storage Service to store the intermediate logic layer data after different degrees of cleaning and regulation. Finally, the data after dimension modeling is loaded into the Redshift data warehouse and visualized with QuickSight, provides fast concurrent query capabilities for front-end BI reports and data analysis applications.

XMART solution uses Amazon Web Services Glue service to build a unified metadata management platform for enterprises. This platform is based on the data catalog function of Amazon Web Services Glue, and uses the Crawler program of Amazon Web Services Glue to automatically crawl the data schema on Amazon S3 and Amazon Redshift. In addition, in order to build a unified metadata platform for enterprises, it also realizes the collection and sharing of metadata across accounts.

Through the construction of this project, the efficiency of report production has been greatly improved, which is not only reflected in the speed of report generation, but also in the data quality of the report, and finally let the data analysis truly achieve the goal of empowering enterprise decision-making.

The financial service competition in the Internet era focuses on real-time experience. The evolution of traditional centralized processing methods to distributed has become a trend. Many technology-led Internet emerging companies will also participate in the financial industry.

XMART understands the safety, regulatory and compliance obligations faced by finance and insurance service institutions worldwide. Propose proprietary solutions for the characteristics of low-latency operations and complex analytical queries in the financial industry.

Financial Services hosts a data lake in S3 and a data warehouse on a Redshift cluster. The company aggregates the daily trading data of the exchange into a data store, uses Amazon Kinesis Data Firehose to stream data into the Redshift, and uses Redshift as the QuickSight data source to create a business intelligence dashboard. And use Acitve Directory connector and single sign-on (SSO) to protect access from its local Acitive Directory to QuickSight in an enterprise network environment.

With the gradual deepening of the application of big data in the logistics industry, the future also includes a large amount of external information. Through the identification of these data, logistics enterprises can predictively tailor personalized and differentiated services for each customer. The data-based positioning method has greatly promoted the growth of the company.

XMART is committed to providing comprehensive big data analysis and solutions for logistics and transportation enterprises. Through professional knowledge and years of service experience, it helps enterprises understand the development trends of the industry, enhance customer loyalty, improve the transparency and service quality of supply chain management, and optimize the profit mode of enterprises. Start with understanding the specific problems in the industry, design unique logistics solutions and customize digitally driven solutions according to the individual needs of logistics and transportation customers.