Benjamin Protais présente les clés pour qu'une entreprise devienne agile par l'intermédiaire de ses données. Et qu'elle le reste! L'incertitude a augmenté le risque et le coût associé à une donnée de mauvaise qualité. Comment orienter ses équipes vers une "culture data" dans un contexte économique et légal en constant mouvement ?
2. NOS DONNÉES FACE À
L’INCERTAIN
LA CULTURE DATA EN
ENTREPRISE
DO NEW | DO BETTER | DO MORE | DO RIGHT 2
3. DO NEW | DO BETTER | DO MORE | DO RIGHT 3
Company
Data
Culture ?
4. DO NEW | DO BETTER | DO MORE | DO RIGHT 4
Data, an
important
asset?
5. Data is the oil of the 21st century …
DO NEW | DO BETTER | DO MORE | DO RIGHT 5
6. A «NEW» STRATEGIC RESOURCE
DO NEW | DO BETTER | DO MORE | DO RIGHT
“IF OIL IS THE CORE RESOURCE IN THE ERA OF
INDUSTRIAL ECONOMY, THEN DATA IS THE MOST
IMPORTANT STRATEGIC RESOURCE IN THE ERA OF
DIGITAL ECONOMY.”
NATIONAL INFORMATION CENTER (NIC)
7. A «NEW» STRATEGIC RESOURCE
DO NEW | DO BETTER | DO MORE | DO RIGHT
IN 2020, THE CHINESE GOVERNMENT MADE IT
OFFICIAL: THE AUTHORITIES NOW RECOGNIZE DATA
AS A “NEW FACTOR OF PRODUCTION”
8. $21 TRILLION IN U.S. INTANGIBLE ASSETS
IS 84% OF S&P 500 VALUE
12. ARE YOU A DIGITAL NATIVE COMPANY ?
DO NEW | DO BETTER | DO MORE | DO RIGHT
Their data
model and
business
strategy are
built at the
same time
Inherit
appropriate
Data
Architecture
Inherit
appropriate
Data
Culture
13. TRADITIONAL COMPANY
Inherit their data model and
culture from their traditional
business model
They must launch a data-
centricity journey
14. FROM “DATA STRATEGY” TO “DATA VALORIZATION SERVICES”
1DATASTRATEGY
Defines how company will leverage Data
for doing business Better, Right, More and
New and become a Data-centric company
2DATAGOVERNANCE
Ensures delivery alignment to Data
strategy by animation of people, processes
and tools required to create a consistent
handling of Data across organization.
3 DATAARCHITECTURE
Ensuring a complete, homogenous and
well architectured Data information
system
4DATASERVICE
Delivery and running of all Data services
essential for the success of Data Strategy
DATA STRATEGY IS A
GUIDANCE FOR DATA
SERVICES IMPLEMENTATION
T
OP
DOWN
APPROACH
DATA SERVICES ANSWER
DATA STRATEGY STAKES
B
OTTOM
UP
APPROACH
15. 1DATASTRATEGY
Defines how company will leverage Data
for doing business Better, Right, More and
New and become a Data-centric company
2DATAGOVERNANCE
Ensures delivery alignment to Data
strategy by animation of people, processes
and tools required to create a consistent
handling of Data across organization.
3DATAARCHITECTURE
Ensuring a complete, homogenous and
well architectured Data information
system
4DATASERVICE
Delivery and running of all Data services
essential for the success of Data Strategy
FROM “DATA STRATEGY” TO “DATA VALORIZATION SERVICES”
EFFORT
Where do companies focus their
?
DATA STRATEGY IS A
GUIDANCE FOR DATA
SERVICES IMPLEMENTATION
T
OP
DOWN
APPROACH
DATA SERVICES ANSWER
DATA STRATEGY STAKES
B
OTTOM
UP
APPROACH
16. Traditional companies
& organizations do not
exploit their data
assets
12% OF DATAIS
BUSINESSCRITICAL
23%
REDUNDANT, OBSOLET AND
TRIVIAL (ROT) –
COSTTO GLOBAL INDUSTRY :
3,3 TRILLION BY 2020
65% DARKDATAHIDDENWITHIN
NETWORKS,PEOPLEAND
MACHINES
THE DATABERG
(https://blog.datumize.com/evolution-dark-data)
No tool to capture
and unlock Dark
Data
85%
Too much data,
Not enough
analytics
39%
Can only access
Structured Data
25%
Data is missing or
incomplete
66%
WHY?
17. OUR MISSION: SUPPORT COMPANIES TO BECOME DATA-CENTRIC
FROM
DATA
TO
VALUE
DATA
VALUE
“THE DATA CLOUD REVOLUTION IS A CATALYST FOR
ENTERPRISE DATA STRATEGY : NEW NEEDS,
WIDESPREAD USE OF AI, EXPONENTIAL GROWTH IN
THE VOLUME AND NATURE OF DATA, EVERYTHING IS
PUSHING TO REINVENT THE COMPANY'S DATA
STRATEGY”
WHAT
VALORISE, SHOW & SHARE
YOUR DATA
"WHAT ARE THE APPROPRIATE DATA
SERVICES TO BE IMPLEMENTED".
WHAT
HOW
ORGANIZE & STRUCTURE YOUR COMPANY
"HOW MY COMPANY AND MY DATA ARE
ORGANISED TO MEET THE DATA STRATEGY".
HOW
WHY
WHY
DEFINE YOUR PURPOSE
"WHY IS MY COMPANY'S BUSINESS MODEL
AFFECTED BY THE DATA VALORIZATION?”
DO NEW | DO BETTER | DO MORE | DO RIGHT 17
18. DO NEW | DO BETTER | DO MORE | DO RIGHT 18
START
ASSESSMENT OF DATA
MATURITY
DATA STRATEGY OF THE
COMPANY
DATA QUALITY
MEASUREMENT
WORK ON DATA CULTURE IN
THE COMPANY
= DATA LITERACY
DO WE NEED TO REBUILD
THE DATA ARCHITECTURE ?
IMPLEMENT APPROPRIATE
DATA GOVERNANCE
ANIMATE
AI INITIATIVE
CREATE
PERSONALYZED
CUSTOMER EXPERIENCE
MDM AND
DATA CATALOG
…
19. DO NEW | DO BETTER | DO MORE | DO RIGHT 19
DATA LITERACY
5. WORK ON DATA CULTURE IN THE COMPANY
«Educate all your Data Stakeholders»
20. Ian Rogers, Chief Digital Officer at LVMH
“The big moment for an organization is
when they have embraced the fact that
digital transformation isn’t a technical
issue, but a cultural change.”
20
21. DO NEW | DO BETTER | DO MORE | DO RIGHT 21
DATA CENTRICITY AND MODERN BI TOOLS
If business leaders are
asking the wrong
questions, giving them
more efficient access
to the answers is not
the solution.
changing the culture of
an entire organization
takes more than just
employing the right
technology, or hiring
the best data scientists.
22. Traditional Reporting
Traffic schedules are known.
You know where you are going and
where you are coming from.
You don't have to make any effort to
get there.
And occasionally, the service doesn't
work well
BI self-service
You decide on the time and the
route.
You can take country roads to
discover all the details of your
journey
IN “BI SELF SERVICE” THERE IS “SELF SERVICE”
Interpretation
&
storytelling
Data navigation
Autonomy
23. DO NEW | DO BETTER | DO MORE | DO RIGHT 23
5. WORK ON DATA CULTURE IN THE COMPANY
Banking Group
100,000 employees
The Data Office promotes the proper use of data “by all and for all”
Data for Executives
400 people
1 day
Data for Business
Data for IT
35 000 people
1 jour
+ E-learning
Data for Data
Managers
48 people
14 days + 2 days
Learning expedition
1 2 3
Creation of the Data Academy
Setting up of 3 training courses
BATX est un sigle formé sur le modèle de GAFAM (Google, Amazon, Facebook, Apple, Microsoft) en juxtaposant les initiales des quatre entreprises du Web chinois dans les années 2010 : Baidu, Alibaba, Tencent et Xiaomi
Data strategy is the first layer.
After defining the data strategy, companies need to work on the data governance layer.
the data governance layer Ensure delivery alignment to Data strategy by animation of people, processes and tools. In other words, it is the way my company is organized to control data.
The third layer is the Data architecture layer
The target is to Ensuring a complete, homogenous and well architectured Data information system
And the last layer is the data services themselves ... We will detail them in the next slide
We have to approach for the Data strategy implementation :
Top-down approach: the data strategy comes primarily from C-level as a guide for the implementation of data services
Bottom-up approach: data services are the first response and attempt to address the challenges of the data strategy
For me, the best approach is a mixed model l!
Data strategy is the first layer.
After defining the data strategy, companies need to work on the data governance layer.
the data governance layer Ensure delivery alignment to Data strategy by animation of people, processes and tools. In other words, it is the way my company is organized to control data.
The third layer is the Data architecture layer
The target is to Ensuring a complete, homogenous and well architectured Data information system
And the last layer is the data services themselves ... We will detail them in the next slide
We have to approach for the Data strategy implementation :
Top-down approach: the data strategy comes primarily from C-level as a guide for the implementation of data services
Bottom-up approach: data services are the first response and attempt to address the challenges of the data strategy
For me, the best approach is a mixed model l!
If you address all of these 4 layers of data strategy, you will be successful in transforming data into value and becoming a data-centric business.
Our objective today is to use our experience to give you some keys and best practices on data governance.
I will present 12 good practices from very concrete experiences and projects.