Introduction to the tools of BI tools

Since the field of business intelligence has been opened up, domestic and foreign BI tools are emerging. IBM cognos, SAP BO, oracle BIEE, Microsoft BI, MicroStrategy, Smartbi, Aowei Smart Power-BI and so on are the traditional BI software, while Style Intelligence, Qliktech Big Data Magic Mirror, QlikView, BDP Business Data Platform, tableau, Elephant Technology's ETHINK, FineBI Business Intelligence software, Yonghong Technology Yonghong Z-Suite, etc. is the next generation of BI representatives.

Traditional BI tools are based on data-driven, waterfall development model to build BI systems. Traditional BI tools need to form CUBE in advance, the delivery time is about half a year, and if the demand changes, the related module adjustment cycle is calculated on a monthly basis. Usually, traditional BI tools have more modules and complex operations, and cannot form a self-service BI.

The new generation of BI software is different from traditional BI software, based on business-driven, without pre-generation of CUBE, and the delivery cycle is calculated on a weekly and monthly basis, which is able to form a self-service BI system. For changes in demand, the delivery cycle is calculated on a daily and weekly basis, with little adjustment to the relevant modules. Style Intelligence, Yonghong Z-Suite, tableau, QlikView and other new-generation BI tools come with a data mart, which can handle massive amounts of data.

One of the first of all trends in BI is that a wide variety of data is constantly growing. This will force BI software vendors to offer solutions that are truly capable of handling big data. Ad-hoc model-based solutions for BI software such as QlikView, which includes data marts, including in-memory analytics, columnar storage database technology, and BI performance enhancements will be key factors in this.