linked in 1ère table ronde 20110330
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Le Réseau des professionnels de la Business Intelligence en Suisse Romande
De l’utilité d’un ODS – Table ronde
Lausanne, le 30 Mars 2011
AGENDA
• 14h00 – 14h10 Le mot de bienvenue – Trivadis
• 14h10 – 14h15 Un mot sur le réseau sur LinkedIn – Dario Mangano
• 14h15 – 14h30 La BI chez Nespresso – Dario Mangano
• 14h30 – 14h45 La problématique ODS – Dario Mangano
• 14h45 – 15h15 Présentation de cas – Boris Horquin
• 15h15 – 15h30 Pause café
• 15h30 – 16h00 Présentation de cas – Michel Bridy
• 16h00 – 16h30 Discussion ouverte sur l’ODS
• 16h30 – 17h00 Présentation d’une solution ODS – Trivadis
• 17h00 – 17h15 Discussion sur les prochains sujets de table ronde
• 17h15 Conclusions et drink
La problématique ODS
• Le mot de bienvenue…
La problématique ODS
• Le groupe LinkedIn
La problématique ODS
• Le groupe LinkedIn
La BI chez Nespresso
Knowledge Management
Enterprise Content
Management
Business Intelligence
CIO
Unstructured DataUnstructured Data Structured DataStructured Data
From Data To Information To knowledge To Actions
La BI chez Nespresso
BI at HQ – Internal Organization
– 1st view: by activities• Operational• IT Projects• Business Projects
– 2nd view: by BI layers / areas• Back End• Front End• Infrastructure
– 3rd view: by interactions• Businesses
• Markets
La BI chez Nespresso
The pre-existing SituationSources Integration Denormalization
Te
xt
1 2 3 4 3
0
10 20 40 5030
10
20
Business ReportsOLAP cubes
CH
D-1Reporting DBNesImports
ProtoDWH(Project)
2038 reports, 127 cubes,
1869 reports on cubes
0 reports, (1 cube)1156 reports,
0 cubes
FR
DE
ES
CEE
AU
AS
BE
US
SQL
ETL
La BI chez Nespresso
Roadmaps
DWH Foundation - IDHSources Integration Denormalization Presentation
Web
Tel
Other
Real Time Operational reporting
N1
N2
N3
Nn
Nx
.
.
CRMETL
Operational reportingControl and QC reporting
BI reports, Cubes and Dashboards
IDH
Quality
Services
ETL
SCM
FIN
HR
Other
ETL
ETL
ETL
ETL
Metadata
Decoup
ling
La BI chez Nespresso
Roadmaps
DWH Foundation - IDH
Operational MetadataConfiguration Rules
Data Import Layer Data Integration Layer
Flat File
DB Table(s)
Operational Integration Data Store
Data PublicationLayer
Data Access Layer
MDH
iTED
Transaction Data such as Authorization Trade
ETL / REPL
ESB
RV (MOM)
Staging
Staging
Authentication Service
Web Service
SQL Service
Authorization Service
Archive
Metadata
DataEntitlements
RI /Syntax Rules
File Syntax Rules
SemanticRules
Transform. Rules
Pub/Sub Config
Metadata & Metrics Data MartsOperations Console & Management Layer
IDH DataMartOperational Metatdata Reporting
Metadata Console
HubServices
Configuration
Repair Console
Archive Console
Common Services Layer
ArchivingException
MgmtBusiness
Rules EngineScheduler Process
ControlAuditing Notification
Import Staging
IntegrationProcesses
Data Quality Rules
RIScheduler Rules
Enrichment Rules
Structure Rules
Master Data such as Asset and Account
KEY
Data Store
Metadata Store
Process
Service
Document
Created by
Created on
3
FAAC
May-5-2008
Last Updated by
Last Updated on
CONMZC
May-30-2008
Version 1.0
Location
The IDH reference architecture is shown here from the perspective of its services are related to the components of the IDH.
The diagram shows what services each component is expected to deliver. The components are what will actually be built or bought must deliver the services.
Description / Objectives
IDH Reference Architecture – Components-Services View
Message(CDM)
DB Load(files)
ETLDatatype Checks
DB Formatting
Archiving
Message Capture
Synchronization
GIM Transformation
iTED
MDH
Movem
ent or R
eference?
Change Data Capture
Identity Mgmt
Cross Ref. Mgmt
Hierarchy Mgmt
Match & Merge
Data Movement
Data Movement
Flat File
DB Table(s)
ETL
ETL/REPL
Message(CDM)
IDH DataMart IDH DataMart(e.g.
Performance)(e.g.
Data Quality)(e.g.
Data Lineage)
DQ Profile Metrics
LineageMetadata
Operational Metadata
ExceptionLogs
LUW Rules
Source DB
SemanticAdapter to GIM
(optional)
Database Extract
Data Formatting
PublisherApplication
Target DB
SemanticAdapter from GIM
(optional )
SubscriberApplication
Data Publication
ESB
MOM
Data Flow
Data Distribution
D1
V1D2
DB Load(DB)
Msg Formatting
2
3
Key Management
4
Workflow
Direct MD Update
5
5
5
D2
La problématique ODS
Sources
Web
Tel
Other
N1
N2
N3
Nn
Nx
.
.
ETL - CDC
Metadata
Staging
IDH
ODS
ETL
La problématique ODS
QUESTIONS :
• Pourquoi avons-nous besoins d’un ODS ?• Historisation ?• Scénario de reprise ?• Alternatives ? (back-up des Stagings ?)• Chargement par hub régional ?• Etc.
La problématique ODS
Etude de cas : Groupe Mutuel Assurances – Boris Horquin
La problématique ODS
Etude de cas : BCV – Michel Bridy
La problématique ODS
DISCUSSIONS
La problématique ODS
Une solution ODS - Trivadis
La problématique ODS
• Discussion sur les prochains sujets de table ronde
La problématique ODS
• MERCI !!!
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