Daikin Air Conditioning, a world-renowned air conditioning brand, has seen rapid business development in China in recent years, with sales already accounting for one-fifth of the world's total, making it one of its key overseas markets.

With the expansion of the market, in order to grasp the overall air conditioning operation more accurately, Daikin Air Conditioning (China) proposed the development of an air conditioning data analysis system "Smart Report". We started from requirement analysis, participated and completed the whole stage of design and development including UI design, product development, testing and launch.

Project

Due to the rapid growth of our business in China, our customers in China are also growing rapidly. The sales staff, located in various provinces and cities in China, often need to request data about the use of various types of air conditioners from the technical staff in order to provide better after-sales service and maintain customer relationships. This not only increases the workload of the technicians, but also increases the efficiency of communication through constant confirmation and often leads to communication errors.

Moreover, since each salesperson is responsible for a different regional scope, a lot of work is done to ensure the accuracy and security of the data they have access to, but it also increases the threat to the security of the data itself.

Solution

Since Daikin Air Conditioning already has a large number of air conditioners in use and generates a large amount of data every day, it was a potential core requirement of the system to quickly and effectively process this huge amount of big data quickly. Using the efficiency of Go language for big data processing, we developed a set of Daikin air conditioner data processing applets to make the data clean and usable within seconds, which became a powerful cornerstone of the whole system.

At the same time, we used different data charts for different data types, so that customers could understand the meaning of the data more intuitively.

In addition, in order to ensure the security of the data, we fully investigated the characteristics of the organizational structure of sales, and divided the smallest unit of data authority into individual objects, i.e., allowing sales to bind to objects, and sales can only check the objects associated with themselves, protecting the security and privacy of the data. At the same time, a set of corresponding management permission mechanism is designed to allow managers to flexibly manage the data permissions of sales under them.

In terms of development, we also fully considered the scalability of the system, leaving sufficient flexibility for future data improvement.

Results

The system is now up and running within Daikin Air Conditioning (Shanghai), providing timely and accurate data services to thousands of sales staff across China every day.