How big is the big data market?
According to the forecast of the authoritative research institute IDC, the global data usage will reach 40ZB in 2020, which is equivalent to the storage capacity of 42.9 billion 1TB hard drives. By then, the data volume generated in China will account for 21% of the global total.
The ability of data processing, analysis and utilization has directly affected the decision-making efficiency of enterprises, thus determining the core competitiveness of enterprises. This also makes data analysis companies favored by more and more enterprises.
On April 11, 2018, DataHunter, a 2B company that helps companies analyze and view data and improve their business, received Series A financing. In the domestic big data market with hundreds of companies, as a start-up, what does DataHunter rely on for its foothold and financing?
Cheng Kaizheng, founder and CEO of DataHunter
Self-service data processing capabilities, Xiaobai can also start analyzing data
Data Analytics, an enterprise data writing platform, is the core product of DataHunter. It greatly reduces the threshold for data analysis and solves the problem of data application reaching the last mile of enterprise business departments.
In the past, data analysis products were often only operated by professional data analysts. In this case, the business personnel of the enterprise often put forward data analysis requirements, and the data analysis results finally delivered have a long cycle and are not real-time.
Data Analytics enables business personnel to directly start data analysis, realizes data analysis from IT-driven to business-driven, and has a short cycle and small scale. Moreover, Data Analytics supports the integration of heterogeneous data sources, supports Excel, CSV and other data files; supports importing Internet data; supports real-time data updates.
Unique Advantages of Data Analytics
exploratory analysis
In the big data service industry, exploratory analysis capability is becoming a standard capability of big data companies, and it is also one of the standards to measure the technical level of a data service company.
Exploratory analysis is relative to confirmatory analysis. In traditional verification analysis, its process is that the decision maker first sets the goal of data analysis based on an idea, and the analyst then conducts analysis and verification according to the relevant requirements.
Exploratory analysis allows decision makers to view and analyze through the visual charts presented by the data itself without knowing the laws of the data and how to model the data. Compared with validation analysis, exploratory analysis requires relatively low data quality and does not require complex data modeling.
Cheng Kaizheng, founder and CEO of DataHunter, said: "For example, for a clothing e-commerce brand, after obtaining the detailed sales data of the previous year, decision makers can freely exploratory analysis, such as trying to interpret sales data and weather changes as The data is compared and correlated to find out whether the weather constitutes a key factor affecting sales.”
Visualization to make data look better
At present, real-time business kanban has become a typical application scenario of data visualization. In order to better meet the renewal of enterprises' real-time visualization of data, DataHunter also released Data MAX, a large-screen solution for data visualization.
According to Ma Ke, CTO of DataHunter, Data MAX can help enterprises to quickly build a large visual screen, support multiple data source access, real-time data display, free custom interface, drag-and-drop operation, flexible permission settings and other functions. The Data MAX large-screen solution has been applied to Sany's smart factories, Wanda Extraordinary Business Expo, People's Daily and other enterprises.
It is reported that DataHunter was founded in 2014, and its core team comes from well-known companies such as IBM, Oracle, and SAP. At present, DataHunter has provided data visualization analysis and display services for dozens of customers in the media, manufacturing, consumer goods, real estate, government, pan-Internet and other industries, including People's Daily, Wanda Group, Shugen Internet, Shanghai Metro, State Grid, TalkingData , hunting, etc.
sound:
"DataHunter will be committed to real-time analysis and visual display of various data sources in the enterprise, and communication and collaboration based on the results, so as to help enterprise managers make quick decisions."
——Cheng Kaizheng, founder and CEO of DataHunter