1. Reference: An Overview of Business Intelligence Technology, Communications of The ACM, August 2011. VOL 54 NO.8 http://support.sas.com/documentation/cdl/en/biwaag/63149/HTML/default/viewer. htm#a003052154.htm Caojun Ma G16 Relationship to the course: related to the Chapter 28 of Data Mining

2. What’s Business Intelligence? Business intelligence (BI) is software It is a collection of decision support technologies It is for the enterprise It is aimed at enabling knowledge workers (such as executives, managers) And it can help analysts to make better and faster decisions.

3. Typical business intelligence architecture

4. Mid-tier servers in BI Online Analytic Processing (OLAP) servers Reporting servers Enterprise search engines Data mining engines Text analytic engines

5. Data Mining in BI Data mining enables in-depth analysis of data It includes the ability to build predictive models The set of algorithms offered by data mining go well Beyond what is offered as aggregate functions in relational DBMSs and in OLAP servers Traditionally, data mining technology has been packaged separately It is separated by statistical software companies for example, SAS,26 and SPSS.27.

6. Data Mining in BI The approach leads to several challenges: 1.data movement from warehouse to the data mining engine 2 potential performance and scalability issues at the mining engine 3. implied limitations on the amount of data used to build a model