Big data analysis involves examining current situations through data-driven insights and using modeling and predictive techniques to forecast and optimize future improvements. In China, whether it's state-owned or private enterprises, the results of data analysis are often integrated into business decision-making processes. Industries such as banking, insurance, telecommunications, and e-commerce have been among the early adopters of these technologies.
**Has the era of big data arrived?**
The trend surrounding big data is both impressive and overwhelming. Today, if you open any media platform and don’t mention "big data," it might seem out of touch. This phenomenon is everywhere, even influencing national leaders. But why has big data become such a hot topic?
As data volumes grow exponentially, the value they hold can no longer be visualized through traditional charts. That’s why business intelligence hasn't gained widespread traction and has been overshadowed by more advanced data analysis methods. The true value lies hidden within the data, and only through thorough analysis can these insights be unlocked.
The level of data analysis capability directly affects the quality and success of value extraction. Without proper analysis, “big data†is just a collection of expensive IT assets with little return. However, the current stage of big data in China is still in its early phases—focusing on data collection, sorting, storage, and basic reporting. Only a few companies in certain industries are capable of conducting meaningful data analysis and application.
Looking at the domestic data analysis market, we observe that the demand is huge. Many companies, whether in the internet sector or traditional industries, are actively discussing it and are willing to invest. However, the system is still fragmented. Financial institutions, including banks, insurance companies, and P2P platforms, have the strongest data needs. Internet companies, especially those in advertising and e-commerce, also show high demand.
There is currently no dominant platform-level company model, which may indicate an early phase of chaos before a larger opportunity emerges. Additionally, the B2B service culture in China is not yet fully developed. Many tech-savvy companies prefer to build their own solutions rather than outsource, due to concerns about data security and internal capabilities.
In the future, major players like BAT, JD.com, 58.com, and Didi will lead in the data field, thanks to their massive data resources. Despite the large industry size and strong demand, there will still be many niche markets for smaller companies to explore and carve out their own space.
**Data Harvesting**
In simple terms, data harvesting refers to the process of gathering information from various sources. Currently, there are four main methods:
1. **Web Crawling**: We have developed our own crawler platform using Python and Go to collect data from dozens of websites.
2. **Wi-Fi Access Solutions**: We offer a complete software and hardware solution that provides a high ROI. Property managers can benefit by charging fees for internet access and promotions.
3. **Image APIs**: We provide image search and face recognition services using machine learning and deep learning algorithms, primarily with C++, OpenCV, and MATLAB.
4. **Customer-Provided Data**: Some clients supply their own data based on specific needs.
**Data Mining**
In layman’s terms, data mining is the process of extracting deep and valuable insights from data. Using the data collected through the above methods, we can perform basic statistical analysis, understand user behavior, create user profiles, analyze brand relationships, and even predict future trends.
Common tools used include Python, R, and SPSS, with algorithms ranging from basic statistics to more complex machine learning and deep learning models, as well as collaborative filtering techniques.
**Data Presentation**
In simple terms, data presentation is about displaying analytical results in an attractive and easy-to-understand format. Currently, we offer several forms:
- A **website** (compatible with both desktop and mobile) for paid B-side customers, not publicly accessible. It generally looks like this:
- A **public SaaS cloud platform** that allows users to easily generate shareable graphic reports, especially for mobile use. It will launch soon, and the interface will look something like this:
- The underlying technology includes JavaScript, Node.js, and MongoDB, making it efficient and scalable for modern web applications.
4.35V High Voltage Battery,4.35V Battery,High Voltage Battery
Shenzhen Jentc Technology Co., LTD , https://www.phenyee.com