Use big data analysis to find hidden correlations between data

Smart wearable devices monitor health, observe urban traffic and weather, capture criminals, and regulate finance... With the advent of big data Data is becoming more pervasive, and big data analysis has begun to become an important tool for humans to make scientific decisions. From the IT era to the DT era, big data analysis technology uses a rapid and accurate method to build a more low-cost and efficient business society. As one of the most popular technologies nowadays, it has penetrated into all aspects of the industry and helps enterprises use Data drives business development.

“With the advent of the DT era, a comprehensive understanding of customers is unprecedented. With data analysis technology, companies can provide more detailed and comprehensive services and transform passiveness into proactiveness.” Zhou Weitian, vice president and general manager of the financial division of Beijing Mininglamp Software Systems Co., Ltd., believes that the integration of big data and industry has doubled the value of the data itself.

Deeply mine hidden relationships between different data sources

Beijing Minglue Software Systems Co., Ltd., founded in 2014, is a big data industry application solution that Minglue Data focuses on relationship mining. solution provider. As a start-up that has only been established for two years, Mininglamp Data has completed Series A financing, and Series B financing will be completed in the second quarter of next year (2016). Currently, Mininglamp Data mainly serves large state-owned enterprises including the financial industry, manufacturing, government and other industry sectors. "For customers such as the financial industry and the public security department, big data analysis technology first embodies precision, and can directly reach the target group through relationship analysis and management." Zhou Weitian said.

The financial industry is one of the first industries to implement big data. Now many domestic banks have begun to try to use big data to drive business operations. The big data analysis and integration platform launched by Mininglamp Data has helped banks achieve a series of optimization and improvements in risk management and control, precision marketing, credit management, and public opinion monitoring.

·Risk management and anti-fraud applications: Use data analysis to evaluate loan quality and avoid bad debt risks. Monitor the financing risks of small and medium-sized enterprises to detect corporate default risks as early as possible.

·Precision marketing: Based on customer portraits, a series of precision marketing management including cross-marketing, personalized recommendations, real-time marketing, customer life cycle management, etc. are carried out.

·Credit reporting/collection loan and income increase: Locate customer behavior trajectory based on IP and GPS physical location, and strengthen bank credit card credit review. Debt collection is carried out based on the associated customer relationship network.

·Public opinion monitoring: Detect customer service center, online messages, social media and other information, and formulate effective customer retention and retention measures.

Public security/criminal investigation is another major industry currently served by Mininglamp Data. It uses hidden data relationships to mine through algorithms and analysis, and quickly helps the public security department find effective information, thereby following the clues and catching criminals. , improve emergency response capabilities. To give a simple example, through the initial ticket booking information, IP address, and subsequent train numbers, hotel information, and operator data, the relationship between the ticket bookers can be determined by performing correlation analysis on the data.

Give users two major guarantees of "technical services"

The financial industry and the public security department introduced above are the two major industries and departments that Minglue Data mainly serves, and it is not difficult to follow these steps. It was discovered from the side that Minglue Data can provide a higher guarantee for data security. As a data service provider, Mininglamp Data focuses on network security, technical data security, usage security and other aspects to ensure customers have peace of mind. Zhou Weitian introduced that Minglue Data is the first domestic and foreign big data platform provider to implement row- and column-level fine-grained permission control on the three major query engines of SQL on Hadoop (Hive, Impala and Spark SQL).

With technical advantages, we have the confidence to compete.

When asked how to seize a share in the domestic big data market, Zhou Weitian said very indifferently. Although domestic giants have entered, the market is very large, and there is still a big problem for fast-growing companies like Millward Data. opportunity. In addition, Mininglamp's advantage is that it has a professional technical team that can conduct correlation analysis and in-depth mining of massive data sources to find out the hidden relationship clues.

When it comes to future development strategies, in addition to focusing on technology, serving existing customers well will be the focus of Millward Brown in recent years. It is understood that in 2016, Mininglamp Data will expand the scale of branches in various provinces and cities, adopt nearby layouts, and formulate a series of hierarchical response measures including market and internal management operations to enhance customer after-sales services. In addition, in the future, Mininglamp Data will also invite customers and technical personnel to join the project in order to better understand the use of technology and get started quickly. According to Zhou Weitian, this is another angle of value-added services for customers.