General overview about Business inteligence software

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Ahmed Zein
E-Business MBA
Eng_ahmedzein@yahoo.com

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3. “A broad category of applications and
technologies for gathering, storing,
analyzing, sharing and providing access to
data to help enterprise users make better
business decisions.”
– Gartner
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4. CRM
Reports
Data warehouse
ERP OLAP
Data
ETL Data Mart
D Data Dashboards
base Mining
KPIs
Files
External
Graphs
*

5. * tools (Extract, Transform, Load) are used to pull data from source
database, transform the data so that it is compatible with the data
warehouse 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 and
other sources that is designed to serve a particular community of knowledge
workers.
* provides summary data and generates rich calculations. For example,
OLAP answers questions like "How do sales of mutual funds in North America
for this quarter compare with sales a year ago?
* discovers hidden patterns in data. Data mining operates
at a detail level instead of a summary level. Data mining answers
questions like "Who is likely to buy a mutual fund in the next six
months
– Oracle
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6. – Oracle
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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:
* what’s 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’
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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 between
and
*They are positioned together now
– Techweb.com
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