Talk with data-agile Bi facilitates business intelligence

Bi is businessintelligence-Business Intelligence. Today, business intelligence is often understood as a tool that converts the existing data in an enterprise into knowledge and helps the enterprise make informed business operation decisions.

Currently, commercial intelligence often represents a high level and represents huge capital investment and massive data analysis needs, bi software collects, manages, processes, and organizes information that helps enterprises make more active business decisions within a reasonable period of time.

However, the continuous accumulation of data is not only limited to large companies or industry giants. Every company is gradually accumulating data in the age of the increasingly mature Internet. The data may not be huge but also complex, it also contains a lot of useful value and market information. The ability to mine and utilize the value of data will undoubtedly better promote the continuous growth of enterprises and increase their strength.

Enterprises have doubts about the Bi system mainly in the following aspects:

1. Investment is huge. Often, a big data analysis project requires an extremely high cost, and it cannot quickly see earnings expectations as other investments do.

2. The implementation phase is long. The implementation period of traditional bi is generally no less than 6 months, or even longer. As a result, enterprises cannot use such tools in a timely manner, even due to the change of time, the model we expected was abolished.

3. The usage rate after successful deployment is low. According to the Forester survey report, about 83% of the data analysis requirements of traditional bi enterprises or organizations have not been met, users also want to prefer using Excel and other tools to analyze data.

Low-cost Bi SYSTEM

In fact, the majority of enterprises and institutions have obvious misunderstandings about the early investment in Bi. agile Bi can achieve extremely low cost to support the implementation of small data, that is, millions of data entries.

Deploy quick BI systems

Compared with the traditional bi implementation cycle that often exceeds 6 months, agile BI will significantly shorten the project cycle, which can be completed in about 3-50 days, and the implementation success rate will also be greatly improved.

Exploratory Bi SYSTEM

Agile Bi is a bi analysis method based on detailed data. The data used by end users for analysis is the initial detailed data. From the perspective of data analysis, summarized data such as traditional bi has solidified analysis combinations and analysis indicators. The detailed data of agile BI will bring more flexibility to the business. The data analysis combination can be changed at will, and the analysis indicators can be changed at will. The end user will have a lot of space to decide, this allows end users to perform exploratory analysis on big data.

The data of tdiffusion-weighted testing confirms that, instead of simply using the existing analysis model, it is more likely that users can find the answer: the success rate of using big data increased from 23% to 48%.

Agile Bi not only has price, implementation cycle, exploratory advantages, but also has excellent computing speed for massive data. Take yonghong technology's agile BI product as an example: combined with column storage, memory computing, in-database computing, distributed computing, and other technologies, this service enables real-time analysis of massive data volumes (more than 1 billion million data records) and high-performance computing of agile business intelligence, to achieve real-time computing when users click, we call it "Click computing ".

"Shouzheng" and "surprisingly"

Enterprises that have already deployed or started to deploy bi products may wonder if we have to overwrite a large amount of manpower and material resources to deploy and implement the Bi system? Should we immediately kill the project and change it to agile bi?

In fact, this is not necessarily the case. Enterprises have spent a lot of money to build a traditional Bi system, which can be used to monitor relatively static indicators and provide data analysis based on models, it can be retained as long as it runs well. In order to improve the internal data analysis work of the enterprise and enhance the insight and decision-making power of the Decision-Making layer of the enterprise, we can consider building an agile Bi system at other levels of the enterprise, either at the department level or at the enterprise level, this allows 83% of analysis needs to be better met, allowing more people to quickly and accurately analyze data and find the desired answer from the data.

Agile Bi is a shovel that can be constantly changed, no matter whether it's a big group Giant or a well-known small company, agile Bi can help enterprises continuously explore the commercial value buried in big data and small data, this makes the increasing data of enterprises better contribute value to the decision-making and development of enterprises.

This article is from the agile Bi blog, please be sure to keep this source http://9220305.blog.51cto.com/9210305/1533359