At Aviv Group we have decided to tackle the harmonization of data and favor Metadata management and Data modeling applied to business objects at the heart of the activity, real estate at first. A journey with very unexpected consequences, punctuated by successes and lessons learned, led by experts determined to do battle with disciplines, methods and tools that were unfamiliar to them. These same experts who have taken on the roles of Data architect, Domain data steward, Data quality analyst, Technical data steward, Enterprise data steward, Data modeler; so many roles that do not often find actors.

1. 1
The Fellowship of the Data
By the Aviv Data Governance Office

2. Introduction
1. Languages and Domains
1. Data Governance: Have all them
ruled but don’t rule them
1. Key Take-aways
On today’s menu :

3. 3
What is Aviv Group?
The AVIV Group is your best partner for finding
the best home and the best car for your needs
including associated goods and services.
We aim both performance and growth
Who are we?
Aviv Data Governance Office
Its purpose is to take the one needed Data
Governance in place, the only artefact that can
harmonize Business expectations and Data
Exploitation and Management expertises.

4. Two challenges
Having so many entities raises different issues
such as :
- Complexity in defining at Group level
responsibilities, roles and rules (People)
- Need for a common language enabling an
unified communication between all the
stakeholders.
Who and How to define a
property?
Vocabulary errors frequently generate behavior errors
...
Behavior errors frequently generate bad data
...
Bad data frequently generate wrong decisions

5. 1. Aviv Immo case study
AVIV IMMO MODEL
One model to rule them all and on the Real
estate align them

6. 6
Why Aviv Immo ?
- SLOW data ingestion
and processing
- BABEL tower nightmare
- Opacity
- SPEED, REAL TIME API
- Common standard
language
- Transparency
- Data Modeling
(AvivImmo)
- DM/metaData, glossary
- Stewards Modelers
- API design swagger
BUSINESS REQUIREMENTS
SOLUTIONS
PAINS

7. The model to rule them all in Aviv:
● A real estate model
● A model designed to be used in any country
● A model that serves the business needs of Aviv
● A model that is shared to all
● A model keeps on evolving
Aviv Immo : The model

8. 8
{
"estateType": "HOUSE",
"estateSubTypes": {
"house": "SINGLE_FAMILY_HOUSE",
},
"distributionType": "RENT",
"geo": {
"street": "Bilbo street",
"houseNumber": "1",
"postalcode": "22455",
"city": "The Shire",
"country": "Middle-earth",
"geocodeLatitude": "53.57532",
"geocodeLongitude": "10.01534",
"showAddress": "true",
},
"prices": {
"currency": "GOLD",
"rent": {
"baseRent": {
"price": {
"amount": 1,
"vatValue": 0.1,
"vatPercent": 10,
"isVatIncluded": true,
},
"priceTimeUnit": "YEAR",
"depositNote": "base rent for 2 months",
},
"showPrice": true,
"priceNote": {
"qya": " ",
},
},
8

9. Finance
Employees
Product
Customers
Consumers
Location
AvivIMMO
AvivGEOREF
AvivCITIZEN
AvivACTOR
AvivLEAD
Analysis
Reporting
}Models
AvivImmo has led to other initiatives

10. 2. Data Governance is not
governing data…

11. Again, let’s start with Data challenges
11
Challenges
● DG & DM are all new, I
don’t get it !
● Are my data reliable ?
● How do we harmonize
those initiatives and
synchronize everyone ?
● What is my single source of
truth (SSOT) ?
● Lack of strong executive
sponsorship
● We do not realize how
interconnected are our
systems/models
Data requirements Solutions
● We would like to align at
company level on definitions,
rules, … rather than each one in
its own corner
● We need to go faster when we
need to make use of data (such
as a report)
● We need data to be more
trustworthy
● We want a single operating
model reusable any time
● Formalize the business
case and value
proposition before all
● Sponsorship must come
from Business
● Training for all
● Use adapted tools and
processes
● Clear Bodies, Roles and
Responsibilities must be
defined (Owner,
Steward, Council)
● Break down the Board
door !

12. September 16th 2020
Business Data Gov. Data Management.
Data Valuation
Analytics
Science and BI
Datasets
“Define the right things
to do with data”
“Do the things right
with data”
Ownership
Stewardship
Control
Approve
Align
Structure
Data Warehousing
Storage
operations
Integrations &
Interoperability
Storage operations
Documenting
Modeling
MetaData
Security
How Data Governance and Data
Management help you to get top datasets?

13. 13
The Operating Model
? ? ?
Roles
Responsibilities
Rules
Councils
RACI Workflow
Enforce the use of
agreed-on business
terminology
Communicate the rules
of using Data
Communicate decisions of
the council
Focus on how we are
leveraging our data
1
2 3
4

14. September 16th 2020
Two main roles, Data Owner and Steward ?
Main because they are still new and emerging.
Roles and functions are numerous from Tech,
Biz and Data.
The question is about the Where actually.,
Data Domains.
A high-level category of corporate data for the purpose of assigning accountability and
responsibility over their definition, rules for usage and systems implementation.
A set of data products that represent the authoritative source of truth and boundary of
ownership.

15. 5 KEY TAKE-AWAYS

16. ● Data Governance is not governing data
but behaviors (everybody is concerned)
● Identify your Data Products
● Identify your Data Domains
16
Key Take-aways
● Data Governance is a business case ! Have
Business speak up !
● Then appoint Data Ownership from
Business

17. There are many men who play a role
without knowing it.
There are many roles that have no
actors.

18. 18
Thank you !
2021
TechCon

19. 19
Credits: Aviv Data Governance Office
2021/2022
Biz&Data&Tech
Stewards, Engineers, Analysts
Jordan Bazerque
Thomas Dariel
Architect
François Laforgia
Leader
Hugues Le Bars
Zakaria Lotfi
Oktay Istanbullu
Maryam Farrukh
Julien Jehannet
Annan Rashid
Atchudha Gopinath