How to maximize the value of BI products under Big Data

See this topic, do you always feel foggy? Do you really know what "big Data" is? What are the links between business intelligence bi and big data? Why business intelligence bi can be valuable in big data?

Big data refers to the amount of data that is involved is so large that it is not possible to capture, manage, process, and collate information that is more positive for the business decision-making in a reasonable time through the human brain or even mainstream software tools. Big Data has four characteristics: large data volume, data types, update speed, the value of large but low density. Big data is valuable, but when it comes to data collection, collation, storage, and simple reporting, big data is a stack of "it stocks" with high costs and zero revenue.

How the value of that big data is to be explored depends on "Big data Analysis". "Big Data analytics" is the discovery of the status quo through data, identifying the root causes of the status quo, and predicting and optimizing improvements through model and predictive analysis techniques, and achieving continuous improvement and innovation in all areas of enterprise operations.

Business Intelligence BI is the big data analysis of a sword, can help enterprises quickly, easily and flexibly to the correct analysis of data, BI on Big data analysis and processing mainly includes three aspects:

First, it is the establishment of a data warehouse or data mart to preprocess big data. Take a handy bi product Finebi as an example. Based on the requirements of enterprise management, Finebi extracts useful data from many big data from different operating systems, and then pulls, transforms and loads, i.e. ETL process, merges into an enterprise-level data warehouse, and obtains a global view of enterprise data according to different analysis themes.

Second, it is on-line analytical processing and data mining, which translates big data into information and knowledge. Taking Finebi as an example, on-line Analytical processing is based on the Data warehouse, the business problem is modeled and the data is multidimensional analyzed. and data mining by analyzing each data, from a large number of data to find its regular technology, to find the connection between data, make data-based inference. Through on-line analytical processing and data mining, decision makers and senior management can accurately control the business status of an enterprise from a multidimensional perspective and understand the relationships between different data in order to make the right decisions.

Finally, it is the demonstration of knowledge conclusion, which realizes the change of knowledge to wisdom. Finebi through the use of information systems, in a simple, rich and intuitive form, the query report, statistical analysis, multidimensional online analysis and data exploration of the big data value of enterprise managers and decision makers before. With the constant accumulation and renewal of knowledge, the knowledge will be transformed into the wisdom of enterprise managers.

Today, the enterprise data market is facing big data, and in the years to come, data resources will be concentrated across global cloud servers. For enterprises, large amounts of data contain a lot of value gold, and the data analysis and processing ability directly determine the ability of enterprises to tap data business value, if the enterprise wants to correctly analyze the data, it is necessary to a smart analyst, that is, the "intelligent" tool to deal with massive data, fortunately, Business Intelligence Bi, which specializes in big data processing, emerges. We look forward to the emergence of intelligent enterprises, the vast amount of cloud data into information, and then the information processing into knowledge, and finally from the knowledge of refining wisdom, for the enterprise to take off the wings of soaring.

This paper is reproduced from the sail soft business intelligence Finebi http://www.finebi.com/bi/?p=3332

How to maximize the value of BI products under Big Data