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2014 © Trivadis
BASEL BERN BRUGG LAUSANNE ZUERICH DUESSELDORF FRANKFURT A.M. FREIBURG I.BR. HAMBURG MUNICH STUTTGART VIENNA
2013 © Trivadis
Agility benefits in a BI project
Guillaume Estoup (Touring Club Suisse)
Adriano Martino (Trivadis)
Humberto Veredas (Trivadis)
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2014 © Trivadis
AGENDA
1. BI TCS project context
2. Agile Methods (how to reach our objectives ?)
3. BiGenius
4. Self Service BI
5. Lesson learned & next step
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BI TCS project
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Initial Status
Not only one business rule by indicator
No BI repository
BI team only in reactive mode
Several reporting solutions
Each user request = one new report !
Each BI client feels that nothing is done for his needs
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X
ODS
So
urc
es
Sto
rag
e
Exp
osi
tio
n Reports
& listing
Y Z
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Project Goals
One BI
One governance
BI Guidelines for enterprise (design & process)
Business rule centralized in one BI repository
One technology : Microsoft BI Tools
Operational system reporting tools
Self Service BI solutions for end users
Focus BI team activities on projects
Old & Expensive solution decommissioning
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Y X
M&V ASSISTANCE FI
MICROSOFT SQL SERVER
Z
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Agile Methods BI TCS
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Why Agile methods for this project ?
Provide visibility to BI users
Change “for free”
Continuous improvement
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Agile process & tools
Daily stand-up
Sprint
2 à 4
semaines
Product
backlog
Sprint
backlog Cube partiel
Sprint
de 3
semaines
Pri
ori
té
Review &
Retrospective
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03.04.2014 Swiss BI Day
BiGenius
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biGenius accelerates the implementation of
your Business Intelligence solution and supports from
Business Requirements Engineering till the automatic
generation of the Data Warehouse components.
Fast and simple implementation of the BI-solution
Least costs of implementation and operation
Simple modification and enlargements
High quality based on built-in DWH best practices
On-going accurate documentation out of the box
biGenius ensures:
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The vision –
3 principles for success
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biGenius
Fast Simple Comprehensive
all-in-one
product
Requirements-analysis
Modelling
Data source integration
Code Generation
Deployment
Documentation
Load control, Q-Testing
Simplify DWH
approach
One-time-definition
Best practice design
Built-in BI-expertise
Version-management
Lifecycle-management
Generator for
DWH-objects
Huge time savings
Flexibility of change
Auto-generated quality
Standardisation
Easy maintenance
Low project risk
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Simplify DWH Approach
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Structured
generator input
Generator
Data-structures
Data flows
Staging
Cleansing
Core
Data Mart
Target-architekture
Input:
Object-definition
Architecture
Load-parameters
One-time definition
Best practice logic
Standardisation
Simple
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How is born?
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biGenius Business spec
Technical spec
Development
Test
Deployment
Qu
ality
ass
ura
nce
Do
cum
en
tati
on
Simplify
Generator
Do
cum
en
tati
on
QS
Total Savings
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Self BI
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Base of Self service BI
BI Team
Create meta data layer Cube SSAS
Centralize business rules
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Training & Coaching End users
Training on Front end tools
Excel
Report Builder
Coaching on open sessions days
Guidelines on restitution of data
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SUCCESS (International Business Communication Standards (IBCS)
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SAY Communiquer des messages
UNIFY Standardiser la sémantique
CONDENSE Condenser l’information
CHECK Assurer la qualité
ENABLE Réaliser le concept
SIMPLIFY Eviter la complexité
STRUCTURE Structurer les informations
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03.04.014 Swiss BI Day
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BUD
19 20
6
16 19
16
Sweden
11 12 13 14
Belgien
20
GB Food
Net incomes in Mio. Euro 2011..2014
10
15,45
19,14 20,54
16,05
2011 2012 2013
6,21
9,92
19,23 19,91
Food Net incomes in belgium
(Mio. €)
Food Net incomes in Sweden
(Mio. €)
20
0
10
15
5
Mio EUR
20
0
10
15
5
Mio EUR
Graphical representation
of the net incomes (in Million)
2014(P)
2011 2012 2013 2014(P)
Original Graph Rules applied Result
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Definition of reporting standard
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Exemples
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Lessons learned
Positive
Transversal BI governance (Centre de Compétence BI)
Team (TCS + Trivadis)
Continual improvement using Agile method
Self service BI
End user acceptance
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Next step: Agile Integration layer
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Overview
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Challenge
- Operationnal systems are changing / Migrating
Objectives
- Minimize impact on Bi solutions
- Integrate Data Quality in the model
- New cross-functionnal area needs
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Turning Bi system Agile
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«For Humans, adaptability is called
intelligence, for information systems, it’s
called agility»
We choose DATA VAULT Modelling
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- Business Model
- Agility
- Integration
- Incremental implementation
- Possibility to add quality indicators into the model
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Why Data Vault?
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How Data Vault?
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The component parts for the Data Vault Ensemble include:
• Hub The Natural Business Key
• Link The Natural Business Relationships
• Satellite All Context, Descriptive Data and History
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Maturity Model
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Maturity Model
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Questions and answers ...
2013 © Trivadis
BASEL BERN BRUGG LAUSANNE ZUERICH DUESSELDORF FRANKFURT A.M. FREIBURG I.BR. HAMBURG MUNICH STUTTGART VIENNA
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Further information ...
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