Business Inteligence and Datawarehousing

13
Business Inteligence and Datawarehousing Presentation for study visit to NL

description

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

Transcript of Business Inteligence and Datawarehousing

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