In the past, the burden of enterprise data analysis was placed on the IT department, and traditional BI analysis was more for people with an IT background. However, with the increasing demand for business analysis, many companies hope to provide self-service analysis services for business users and implement the analysis work into the hands of business personnel. But at the same time, the analysis tool is set up at the front end of the enterprise data analysis platform as a system, and needs to adapt to the complex business format of the enterprise, so self-service BI has become the best choice.
Due to the volume and complexity of data, self-service BI tools need to take care of both:
1. Ease of operation of the tool
Whether the tool is easy to use and whether the analysis logic conforms to the routine determines whether the tool can be mastered quickly. Self-service analysis tools should avoid complex SQL learning and additional development effort.
2. Good support for large data volume and complex analysis
Many enterprises have big data platforms, and self-service BI tools need to support big data platforms such as Hadoop and GreenPlumn, as well as tools that work with Hadoop clusters. Common enterprise alignment databases such as SAP HANA and BW also need support. In addition, it depends on the speed of data extraction processing.
Judging from the cases where FineBI is applied to finance, telecommunications, real estate, manufacturing, medicine and other industries, FineBI can be accepted by many industries due to its lightweight and self-service advantages. It is embodied in the following aspects.
1. Fully visualized operation
From fetching, establishing data association (modeling), ETL operation, dragging analysis fields, and switching chart display, FineBI visualizes the whole process, without SQL fetching and manual modeling, only need to extract the required data based on business analysis logic , select the appropriate chart display according to the dimension indicators, and complete a Dashboard quickly through the logical association operation between the charts.
2. Good support for big data
FineBI supports not only big data platforms such as Hadoop, GreenPlumn, and Kylin, but also multi-dimensional databases such as SAP HANA, SAP BW, SSAS, and EssBase, as well as NO SQL databases such as MongoDB, SQLite, and Cassandra, as well as traditional relational databases and program data sources. Wait.
Provides two ways to access large amounts of enterprise data: FineDirect (direct connection) and FineIndex (build cube). FineIndex provides an efficient computing engine based on indexes, extracts and preprocesses data, has a high compression ratio, and supports fast front-end data analysis through indexes. FineDirect provides a SQL-based database direct connection engine, which supports 1 billion to 10 billion data access and real-time data analysis of the big data platform.
3. Dashboard-based exploratory analysis
FineBI's Dashboard is composed of various analysis components. After freely dragging and binding fields, a complete analytical dashboard is formed.
FineBI has built-in self-developed H5 charts, which have rich chart types and styles, and are highly interactive. For example, the data map component provides rich data geographic information display.
At the same time, in terms of analysis operations, multi-dimensional analysis operations such as data drilling, data slicing, and data rotation can be performed visually, so as to freely observe business data from multiple perspectives. For example, during filtering operations, data can be selectively read.
In the newly released version 4.0, FineBI released the SPA spiral aggregation analysis function, which can simply reprocess the provided data at the front end without affecting the background data.
4. Multi-screen application analysis
PC-side data analysts are a common application scenario, and for some enterprises with special scenario requirements, whether in a conference room or on a business trip, leaders need to view the data display at any time. In this regard, FineBI provides a client-side version of FineMobile (FanRuan mobile data analysis application), which can be developed and integrated with DingTalk and WeChat Enterprise Account. With perfect self-adaptation, FineBI can also be displayed on large screens such as LEDs to meet the needs of real-time monitoring, external visits, and leadership visits.
