In today's business operation mode, business has great demand for data analysis, but due to the lack of effective support of data and tools, business analysis still relies on IT report production. The IT side constantly researches and confirms business logic according to business needs, and then fetches data for reporting, which also has to endure changes in business needs.
Gartner pointed out in the 2016 business intelligence report that although the traditional IT application systems of enterprises have become very popular, due to the complexity of data integration and the variability of business logic, traditional BI tools can no longer meet the needs of enterprises for timely data analysis. . IT - led business intelligence BI and analytics will gradually evolve into business-led, self-service analytics.
If a worker wants to do a good job, he must first sharpen his tools. The demand for self-service BI tools in enterprises is urgent. Enterprises need the support of powerful BI tools to help IT manage and control data downwards, and make full use of underlying data upwards to support front-end business data applications. The emergence of foreign Tableau and Qlikview self-service BI has lowered the threshold for data analysis of foreign companies, and the domestic self-service BI tool FineBI is also committed to creating "fast and accurate" business analysis.
Only "fast" is not broken
May wish to shorten the front of business analysis, improve data processing performance, reduce IT workload. Different companies have different data environments, and some companies need to analyze a large amount of data with many dimensions and are constantly increasing. You can access the data through FineBI 's FineIndex . FineIndex uses a caching mechanism similar to the traditional cube building , which reduces the work of repeatedly extracting raw data and reduces the pressure on the hardware system. It can incrementally update data in real time, and present hundreds of millions of data in seconds. In some enterprises, the amount of data is not large, but the business is complex, the analysis needs are large, and the flexibility requirements are high . FineDirect can directly access 1 billion or even tens of billions of data, which greatly deepens the thickness and depth of analysis and improves the accuracy of analysis.
The tools are lightweight, drag-and-drop operation, and learn quickly. In order to perfectly support the analysis work of salespeople, FineBI , as a self-service BI tool, is different from traditional BI , reducing code operations, abandoning manual modeling, and focusing on the front end that salespeople can understand. From teaching videos to help documents to user forums, you can quickly master the main skills of analysis by watching a 10 -minute introductory video. With the help documents and teaching videos, you can establish data connections, extract and update data, and visualize ETL to the front end . The analysis operation has a comprehensive grasp, and the analysis does not exceed 5 minutes.
IT and business are ingeniously coordinated, and the division of labor is clear to reduce disputes. For daily data analysis, IT personnel or data administrators can prepare data in the form of business topics and business packages, and set operating permissions on the data (personnel in different positions can intelligently operate data within the scope of authority). After sorting out the data, the salesperson only needs to read the data from the data package, drag and drop the fields on the front end for analysis, and no longer need to ask where the data is? Is the data ready? Data does not equal these issues.
Take "quasi" first
The SPA spiral function creates a front-end "free analysis". If the salesman needs to perform some processing on the data provided during analysis, for example, the prepared data only provides monthly sales, not month-on-month. The SPA spiral aggregation analysis functioncan be used at the front end
FineBI has rich visual charts, corresponding to different scenarios. There are many cases of data analysis falling into the illusion of analysis because of choosing the wrong chart. In the help document, each chart gives hints of application scenarios. For example, GIS maps can be used for data with high regional analysis requirements; for example, a ring chart or a dashboard can be used for analysis progress; a combination chart can be used for complex analysis with multiple dimensions. .
BI also needs to serve the leadership, the results can be viewed quickly, and the analysis and decision-making are accurate. Data visualization can help improve the accuracy of decision-making. Leaders are usually interested in the key indicators of each link of business operations, and paper reports and data reports have long been out . FineBI 's Dashboard can list these indicators in the "leader's cockpit" or display them on the mobile phone, and update them in real time. The completed reports can be checked in time as long as they are pushed to the leaders.
FineBI商业智能旨在帮助企业的业务用户充分了解和利用他们的数据，FineBI带来的数据分析体验涵盖了数据采集与整合，数据存储，数据分析和数据可视化，乃至数据挖掘和深度分析的全流程，助力企业数据化智慧运营。
纵观上述，大数据时代到来，传统的数据分析方式需要改变，自助式BI工具FineBI的出现解放了IT人员的劳动力，提高了业务人员对业务的洞察，也给企业的数据化智慧运营提供了全新了视角和体验。