2. * 3. A broad category of applications andtechnologies for
gathering, storing,analyzing, sharing and providing access todata
to help enterprise users make betterbusiness decisions. Gartner *
4. CRM Reports Data warehouse ERPOLAPData ETL Data Mart D
DataDashboardsbaseMiningKPIsFilesExternalGraphs * 5. * tools
(Extract, Transform, Load) are used to pull data from
sourcedatabase, transform the data so that it is compatible with
the datawarehouse and then load it into data warehouse.* is a
"Subject-Oriented, Integrated, Time-Variant,Nonvolatile collection
of data in support of decision making".* is a repository of data
gathered from operational data andother sources that is designed to
serve a particular community of knowledgeworkers.* provides summary
data and generates rich calculations. For example,OLAP answers
questions like "How do sales of mutual funds in North Americafor
this quarter compare with sales a year ago?* discovers hidden
patterns in data. Data mining operatesat a detail level instead of
a summary level. Data mining answersquestions like "Who is likely
to buy a mutual fund in the next sixmonths Oracle* 6. Oracle * 7.
Oracle * 8. * 583 Terrabytes of sales/inventory data* Built on
parallel 1000 processor system* Refreshes data on sales hourly ,
adding a billion rows of data daily. Techweb.com * 9. * When
customer pays they capture:* whats selling* what day of the week/
time* What price* Other products in basket* Combinations like age
preferences, ethnic background and demographic to get affinity
sales* 10. *Data analysis showed on Friday afternoons, Young
American males who bought *Also bought *Beer was moved near diapers
to increase sales of both! Techweb.com* 11. *By analyzing what
sells together,*Wal-Mart found relationship betweenand*They are
positioned together now Techweb.com* 12. *
