Trends in Business Intelligence

                     Data mining After the Internet, digital mining has become a new research hot spot, especially for large-scale and large-scale distributed digital mining, which has a broader outlook and potential economic value of it is also unlimited. Among them, classification prediction technology will help future smart business operations and make important benchmark decisions. According to Seidman (2001), "Data mining is of particular value to organizations that collect large amounts of historical information. This technology is used by banks, insurance companies, and credit card companies to extract important information” (p. 6).   “Web (data) mining refers to a collection of data mining and related technologies used to automatically discover and extract information from web documents and services.   of personal data, it helps companies build detailed customer profiles and extract marketing intelligence” (Wel, ...

                                                                                                             Business intelligence   Business intelligence or BI is a general term that refers to a range of software applications used to analyse an organization's raw data. BI as a discipline consists of many related activities such as data mining, online analytics, queries and reports. Data mining is the process of sorting large amounts of data and selecting relevant information. Although commonly used by business intelligence organizations and financial analysts, it is also increasingly used in academia to extract information from vast data sets obtained through modern observational and experimental methods. B...

                  Data warehousing Over the past decade, we have witnessed an unimaginable computer revolution.  Ten to fifteen years ago, the world could not have imagined the impact computers would have on businesses. Additionally, the availability of the internet and e-commerce has changed the way the consumers are. One of the next concepts in the computers revolution of the last decade was data warehousing. Data warehouses is divided into three main types: enterprise data warehouses (EDWs), online data warehouses (ODSs), and data marts. 1. Enterprise Data Warehouse (EDW): EDW is the central warehouse. Provide company-wide decision support. Provides a unified approach to organizing and presenting data. It also provides the ability to categorize data by subject and enable access by those departments. 2. Operations Data Warehouse:   The operational data warehouse, also known as ODS, is just an indispensable data storage place when ...