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Business Inteligence and Datawarehousing

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Business Inteligence and Datawarehousing. Presentation for study visit to NL. Agenda. Defintions Bi Framework Agis BI & Datawarehouse organisation Datamodelling Dataflow and quantity Tooling Demo Tip. Definitions. Business Intellingence (from data to Knowledge): - PowerPoint PPT Presentation
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Business Inteligence and Datawarehousing Presentation for study visit to NL
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Page 1: Business Inteligence and Datawarehousing

Business Inteligence andDatawarehousing

Presentation for study visit to NL

Page 2: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Agenda

• Defintions• Bi Framework• Agis BI & Datawarehouse organisation• Datamodelling• Dataflow and quantity• Tooling• Demo• Tip

Page 3: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Definitions

• Business Intellingence (from data to Knowledge):A category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions.

Datawarehousing :Bill Inmon: "a subject oriented, integrated, time variant, nonvolatile collection of data in support of management's decision-making process"

Page 4: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Page 5: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Agis BI & Datawarehouse organization

• Users (Business Intelligence)• Normal End users (business users/departmental level)• Power users (specialized en central –R&D organization)• 1e line support (central in the organization)• 2e line support (central in the organization)

• (Change) Management en BAU (Datawarehousing)• Central in the organization (functional en technical

together)

Page 6: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Datamodelling

End user layer reports Store

Source

Business ObjectsDatamart

Datamart

DATAWAREHOUSE

transformationCopy

Page 7: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Dataflow en quantity (usage)

Business Objects

Data mart

Data mart

Data mart

AGIS'(actueel + historie)

(Oracle)

AGIS

(DMS II)

AGIS rest(alles wat niet inAGIS voorkomt)

(DMS II)

alleen initieël, 2 jaar historie

periodiekontlading Stage

PremieSchade

PL SQL

Anderebronsystemen

Externe data

GeschoondeANOVA IKAZ

gegevens(= store 2)

Data mart

Zorgkosten

Marketing

Store

Bestaande ANOZDWH, AnovaDWH & Anoz

DWH *

CPAS

Legenda:Geel = 1IKAZBlauw = CER fase 1

universe

universe

universe

universe

rapport

rapport

rapport

rapport

Telling Agis'

TellingStore Meldingen

Telling Marts

TellingAgis'

TellingCPAS

Paars = GebruikersrapportenGrijs = CER fase 2

Rood = Controles testplan CERGroen = niet belegd

Business Objects

universe rapport

Farmacie

1

23

TellingUniverses

4

TellingRapporten

5

4,7 Miljard records

400 named users

15 datamart

Average 60 users a day

Page 8: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Used Tooling

• Oracle (database)• ETL ( loading datawarehouse)• Business Objects ( making of reports for endusers)

• Full client an Web version• SAS (making of reports an analysis for power users)• Noad (versions)

Page 9: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Page 10: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Example : Huisartsenmonitor (pharmacy monitor)Monitoring amount of MD-prescriptions per period )

Page 11: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

Example : Costs expected

Page 12: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

DEMO

• Customers by region (including new)• Customers by age, sexe and • Other questions• ………

Page 13: Business Inteligence and Datawarehousing

25-05-2005

Business Intelligence and Datawarehousing

TIP : Think BIG start Small

•You get quick results•Satisfied end-users•you don't have to start again


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