Business Intelligence Technology & Data

Mining

Reference: An Overview of Business Intelligence Technology, Communications of The ACM, August 2011. VOL 54 NO.8http://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

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.

Typical business intelligence architecture

Mid-tier servers in BI

• Online Analytic Processing (OLAP) servers• Reporting servers• Enterprise search engines• Data mining engines• Text analytic engines

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.

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

Thanks !