Rully Agus Hendrawan eraha@is.its.ac.id

Business intelligence &

Data Warehouse

OLAP Analysis

Lecture

Disclaimer

• Private use only

• Don’t distribute this materials anywhere else

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