Using big data analysis to find out the hidden associations between data.

Using big data analysis to find out the hidden associations between data.

Smart wearable devices monitor health, urban traffic and weather observation, arrest criminals and financial supervision ... With the popularity of big data, big data analysis has become an important tool for human beings to make scientific decisions. From IT era to DT era, big data analysis technology has built a business society with lower cost and higher efficiency in a fast and accurate way, and as one of the hottest technologies at present, it has penetrated into all aspects of the industry, helping enterprises to use data to drive business development.

"With the advent of the DT era, the all-round understanding of customers is unprecedented. With data analysis technology, enterprises can make services more detailed and comprehensive, and turn passivity into initiative. " Zhou, vice president of Beijing Software System Co., Ltd. and general manager of the financial division, believes that the integration of big data and industry doubles the value of the data itself.

Deep Mining of Hidden Relationships between Different Data Sources

Established on 20 14, Beijing Luo Ming software system co., ltd is a provider of application solutions for big data industry focusing on relationship mining. As a two-year-old start-up, Luo Ming Data has completed the A round of financing, and the B round will be completed in the second quarter of next year (20 16). At present, the main service targets of Luo Ming Data include financial industry, manufacturing industry, government and other large state-owned enterprises. "For customers such as the financial industry and the public security department, big data analysis technology first reflects accuracy, and through relationship analysis management, it can directly reach the target group." Zhou said to him.

The financial industry is one of the earliest industries that landed big data. Now many domestic banks have begun to try to drive business operations through big data. The big data analysis and integration platform launched by Luo Ming Data has helped the bank to achieve a series of optimization and upgrading such as risk management and control, precision marketing, credit management and public opinion monitoring.

Risk management and anti-fraud application: use data analysis to evaluate loan quality and avoid bad debt risk. Monitor the financing risk of small and medium-sized enterprises and find the default risk of enterprises as soon as possible.

Precision marketing: based on customer portraits, a series of precision marketing management including cross-marketing, personalized recommendation, real-time marketing, customer life cycle management, etc.

Credit collection/loan collection to increase income: locate the customer behavior track based on IP and GPS physical location, and strengthen the bank credit card credit review. According to the relevant customer relationship network for debt collection.

Public opinion monitoring: Check the information of customer service center, online messages, social media, etc., and work out effective measures to maintain and retain customers.

At present, public security/criminal investigation is another major industry of data service. Mining hidden data relationships through algorithms and analysis can help public security departments find effective information quickly, thus tracking down criminals and improving their ability to deal with emergencies. For a simple example, through the initial booking information, IP address, and subsequent data of trains, hotels and operators, the relationship between the data can be determined through correlation analysis.

Give users two guarantees of "technology+service"

The financial industry and public security department mentioned above are the two major industries and departments that Luo Ming data mainly serves. It is not difficult to find that Luo Ming data can provide a higher guarantee for data security. As a data service provider, Luo Ming Data starts from the aspects of network security, technical data security and use security, so as to reassure customers. According to Zhou, Data is the first provider of access control big data platform at home and abroad to realize fine-grained access control on the three SQL query engines (Hive, Impala and Spark SQL) on Hadoop.

With technological advantages, we have the confidence to compete. When asked how to seize the share in the domestic big data market, Zhou's position was indifferent. Although domestic giants have entered, the market is huge, and there are still great opportunities for fast-growing enterprises like Luo Ming Data. In addition, the advantage of Minglue is that it has a professional technical team, which can carry out correlation analysis and deep mining on massive data sources and find out hidden relationship clues.

Talking about the future development strategy, in addition to the technical focus, serving existing customers will be the focus of Luo Ming Data in recent years. It is understood that 20 16 data will expand the scale of branches in various provinces and cities, adopt the nearest layout, including market and internal management operations, and formulate a series of graded countermeasures to improve customer after-sales service. In addition, in the future, Luo Ming Data will invite customers and technicians to enter the project to better understand the use of technology so as to get started quickly. In Zhou's words, this is another angle of customer value-added service.