Case Study (Chapter 7).pptx

Multidimensional Data Modeling

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Case Study 1

Fundamentals of Business Analytics” RN Prasad and Seema Acharya Copyright  2011 Wiley India Pvt. Ltd. All rights reserved. reserved. “

Case Study 1

Fundamentals of Business Analytics” RN Prasad and Seema Acharya Copyright  2011 Wiley India Pvt. Ltd. All rights reserved. reserved. “

Business Scenario •

A multinational multinational sales company has its head quarters at New Delhi.

•

They sell various products.

•

•

Their products are sold in different countries like Australia, Canada, France, Germany and so on. Th e Pre Pr esi dent dent of the t he company company wants sale al es and or or der der quanti qu anti ty i nf ormati or mation  on  f or each quar ter, ter, month and day i n a year. year.

Fundamentals of Business Analytics” RN Prasad and Seema Acharya Copyright  2011 Wiley India Pvt. Ltd. All rights reserved. reserved. “

Conceptual Modeling

Identify the entities

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Conceptual Modeling

Product Sales Region Entities Time Sales Information

Fundamentals of Business Analytics” RN Prasad and Seema Acharya Copyright  2011 Wiley India Pvt. Ltd. All rights reserved. “

Conceptual Modeling

Establish relationship between the entities

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Conceptual Modeling

Product

Sales Information

Sales Region

Time

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Identify the facts, dimensions, attributes, hierarchies and grain

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Sales Amount

Order  Quantity

Facts

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Identify the grain(s)

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Grain Identified

Time – Day

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Sales Region

Product

Time

Dimensions

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Attributes Product – Name, Color, Size Sales Region – Region Name

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling Hierarchies Identified Year

Quarter

Month

Day

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Putting the pieces together… Design the schema

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling Product Dimension Table Product Key

Fact Table

Sales Region Dimension Table

Product Name

Product Key

Sales Region Key

Color

Sales Region Key

Territory Name

Size

Time key

Country

Sales Amount Order Quantity Time Dimension Table Time Key Date Month Quarter Year

Case Study 2 Modifying the Scenario

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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New Business Scenario •

A multinational sales company has its head quarters at New Delhi.

•

They sell various products.

•

Their products are sold in different countries like Australia, Canada, France, Germany and so on.

Th e President of the company wants sales and order quanti ty inf ormation f or  each i ndividual empl oyee and al so teamwi se f or ever y quar ter to decide on  appraisal.

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Conceptual Modeling

Identify the entities that are to be added

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Conceptual Modeling Product Sales Region Entities

Time Sales Information Employee Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Conceptual Modeling

Establish relationship between the new and existing entities

Conceptual Modeling Employee

Product

Sales Information

Sales Region

Time

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Fundamentals of Business Analytics” RN Prasad and Seema Acharya

Logical Modeling

Identify the facts, dimensions, attributes, hierarchies and grain

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Sales amount

Order  Quantity

Facts

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Identify the grain(s)

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Grains Identified

Time – Quarter  Employee – Individual

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Sales Region

Time

Product

Employee Dimensions

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

New Attributes Employee – Name, Email, Manager Name, Gender 

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling Hierarchies Identified

Year

Team

Quarter

Individual

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Modify the schema

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling Product Dimension Table

SalesRegion Dimension Table

Product Key

Fact Table

Product Name

Product Key

Color

Sales Region Key

Territory Name

Size

Time key

Country

Sales Region Key

Employee Key Sales Amount Order Quantity Time Dimension Table

Employee Dimension Table Employee Key

Time Key

Email

Quarter

Name

Year

Gender Manager

Case Study 3 Modifying the Scenario Further

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Modified Business Scenario •

•

•

A multinational sales company has its head quarters at New Delhi. They sell various products which can be categorized and subcategorized accordingly. Their products are sold in different countries like Australia, Canada, France, Germany and so on.

The Pr esident of the company wants category wise sales and or der quan ti ty  inf ormati on for each indi vidual employee and also teamwise f or ever y quar ter  to vi ew business productivity.

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Conceptual Modeling

Employee

Product

Sales Information

Sales Region

Sub Category Time

Category

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

New Hierarchy Identified

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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Logical Modeling

Modify the Star schema to Snowflake schema

Fundamentals of Business Analytics” RN Prasad and Seema Acharya

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