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DATA MART APPROCHES TO ARCHITECTURE

DATA MART APPROCHES TO ARCHITECTURE

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Page 1: DATA MART APPROCHES TO ARCHITECTURE

DATA MART APPROCHES TO

ARCHITECTURE

Page 2: DATA MART APPROCHES TO ARCHITECTURE

What is Data Mart ?

Data mart and Data Warehouse.

Why We need Data Mart.

Types of Data mart.

Concept of OLAP.

Dimensional model.

EXAMPLE – HCMC and BMO

Page 3: DATA MART APPROCHES TO ARCHITECTURE

A subset of a data warehouse that supports the requirements of a particular department or business function.

Data mart are often built and controled by a single department within an organization

Page 4: DATA MART APPROCHES TO ARCHITECTURE

POINTS DATA WAREHOUSE DATA MART

SCOPE CORPORATE LINE OF BUSINESS

SUBJECTS MULTIPLE SINGLE

DATA SOURCES MANY FEW

SIZE 100 GB - TB+ < 100 GB

IMPLEMENTATION TIME

2-3 YEARS MONTHS

Page 5: DATA MART APPROCHES TO ARCHITECTURE
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To improve end user response time.

We can easly get information for single department such as Marketing, Finance,HR.

Requires less cost in implementation in comparison with data warehouse.

Helpful for significant decision making.

To provide data in a form that matches the collective view of a group of user.

Page 7: DATA MART APPROCHES TO ARCHITECTURE

Dependent Data Mart

Independent Data Mart

Page 8: DATA MART APPROCHES TO ARCHITECTURE

MarketingSales

FinanceHuman Resources

Data Warehouse

Data Marts

External Data

Flat Files

Operational Systems Marketing

Sales

Finance

Page 9: DATA MART APPROCHES TO ARCHITECTURE

Sales or Marketing

External Data

Flat FilesOperational Systems

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The data is found at the intersection of dimensions.

Store

GL_Line

Time

FINANCE

Store

Product

Time

SALES

Customer

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Identify fact tables◦ Translate business measures into fact tables◦ Analyze source system information for

additional measures◦ Identify base and derived measures◦ Document additivity of measures

Identify dimension tablesLink fact tables to the dimension tablesCreate views for users

Page 13: DATA MART APPROCHES TO ARCHITECTURE

Hennepin County Medical Center is a public hospital

360 Hospital beds 1999; recorded 318,200 clinic visits 131,000 unduplicated patients HCMC Ranked one of nation’s best

hospitals 3rd consecutive year on the U.S. News & World Report

Page 14: DATA MART APPROCHES TO ARCHITECTURE

Ownership:◦ Data belongs to the organization

◦ Data belongs to the patient

Quality:◦ Data quality is everyone’s business

◦ Data flow :Input, Processing, Output

Page 15: DATA MART APPROCHES TO ARCHITECTURE

Accessibility of data any time, any how,

anywhere

Create a “Doubt” free environment

Develop subject specific data distribution

Utilize e-business approach to deliver data

(Intranet)

Page 16: DATA MART APPROCHES TO ARCHITECTURE

In Feb. 2007 HCMC implemented 2007 SAP across all areas of the hospital.

NEED – 1.How many new patient are coming and their age group.

2. Frequently identify patients returning to hospital

Page 17: DATA MART APPROCHES TO ARCHITECTURE

In 2012 Oracle implemented data mart for various department.

Targeted Department – Clinical , labour and delivery, supply chain , surgery, GI lab.

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Fact table

Fact

Measure

Dimension

Dimension table

Fact Table

Patient Resource

Time Total Appointments

Dimensions

John DoeAge

John Doe

John DoeJohn DoeJohn Doe

Dr. VDr. VDr. GDr. VDr. G

JanuaryFebruaryMarch

MayApril

116

43

6

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Fact table

Race

Age

Resource

Gender

Patient

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Fact table

Financial Class

Patients and their Financial Class

Appointments of Patients and their Financial Class

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Where they were consuming time 400 hrs to create the report, using data mart this was reduce to 10 hrs.

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•User participation

•Security

•Storage (MOLAP,

ROLAP, HOLAP)

•Archiving

•Training

•Maintenance

Page 23: DATA MART APPROCHES TO ARCHITECTURE

This bank founded in 1817, montreal , canada

1995 The credit card division surveyed the competitive landscape and quickly realize that the card business was changing dramatically.

Page 24: DATA MART APPROCHES TO ARCHITECTURE

IT could not wait for the implementation of Data warehouse .becouse it was time consuming process.

Bank was anticipating a considerable increase in compition from US-based card issuers.

SOLUTION – Bank decided to implement Data Mart for credit Card division.

Page 25: DATA MART APPROCHES TO ARCHITECTURE

In 1995 proposal to build data mart for credit card division.

Project were granted in early 1996, after accepting project bank worked with data mart vendor.

Launched data mart in Aug 1996.

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IRR(internal rate of return) greater than 100%.

The transaction volume on these new accounts is 59% higher than the average account.

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