Pertemuan-09 OLAP Analysis
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Transcript of Pertemuan-09 OLAP Analysis
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OLAP ANALYSIS
Analysis
the abstract separation of a whole
into its constituent parts
in order to study the parts
and their relations
http://wordnetweb.princeton.edu/perl/webwn?s=analysis
Analyze
break down
into components
or essential features
http://wordnetweb.princeton.edu/perl/webwn?s=analyze
Example:
Trouble shooting a dead computer
OLAP Analysis
• Systematic
–Break down the problem
from Abstract problem to Exact problems
–Isolate and Reduce the factors which affect
the problem
from Many irrelevant factors to Essential factors
• Series of action OLAP Query
OLAP Analysis
• Systematic
–Break down the problem
from Abstract problem to Exact problems
–Isolate and Reduce the factors which affect
the problem
from Many irrelevant factors to Essential factors
• Series of action OLAP Query
OLAP Analysis
• Systematic
–Isolate problem
from Abstract problem to Exact problem
–Reduce the factors which affect the problem
from many irrelevant factors to essential factors
• Series of action OLAP Query
OLAP Analysis
Incident already happened
OLAP Analysis
Incident already happened
– Above threshold
– Below target
– Trending down
– Trending up
OLAP Analysis
Finding …
Why?
Which factors do contribute?
Incident Happened
What factors contribute to the incident
Sales Below Target
-5%
All
Region
March
Time
February
January
Measure = (Actual Sale – Target Sale) / Target Sale
Sales Below Target
-5%
All
Region
March
Time
February
January
Measure = (Actual Sale – Target Sale) / Target Sale
Drill down Time
Drill down Region
Dice the cube
Sold Less
-10%
Region
Time
East
Central
Week 3Week 4
March
Measure = (Actual Sale – Target Sale) / Target Sale
Week 2
Sold Less in East Region
-10%
Region
Time
East
Central
Week 3Week 4
March
Measure = (Actual Sale – Target Sale) / Target Sale
Week 2
Slice Region = East
Dice the cube (add new dimension: Product)
Drill down Product
Change visual display
Product Sale droppedRegion
Time
East
Week 3Week 4
March
Measure = Actual Sale
Week 2
X
Y
W
Product
Product X droppedRegion
Time
East
Week 3Week 4
March
Measure = (Actual Sale – Target Sale) / Target Sale
Week 2
X
Y
W
Product
Customer complaint increases
Late deliveries went up 80%
• Incident: lagging or leading in sales
• Factors:
– what product lines
– what locations
• Extra:
– available stocks
– Promotions
– competitive information
• With that information, someone can make a decision to take corrective action.
dankie shukran do jehxie xie dêkuji tak
kiitos merci dankeefharisto toda sukria
terima kasih grazie arigatoukamsa hamnida takk
salamat po dziekuje obrigadospasibo gracias istutiy
asante tack kawp-kun krap/ka'tesekkür ederim
Thanks
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