1. DataSciences Solutions
13/07/2018 1
• Plan
• Introduction
• Architecture
CASD
• Use Case projet
BigData
• Réalisation
sécurisée

2. DataSciences Solutions
13/07/2018 2
• Plan
• Introduction
• Architecture
CASD
• Use Case projet
BigData
• Réalisation
sécurisée
he product remains in
e hermetically sealed
chamber
hose who access the
roduct are identified
They can see the
product
They can handle the
product
They are in a familiar
environment
They can insert and
xtract things through
strict procedure only
DATA remain in the
‘bubble’
Biometric
identification of the
researchers
Researchers can see
the DATA
They can use a large
set of software tools
They are in a familiar
and user-friendly wor
environment
Inputs and outputs ar
possible through a
strict procedure only

4. Inputs Outputs
CHECKPOINT
CHECKPOINT

5. RESEARCHERS HAVE A RESEARCH PROJECT
REQUIRING CONFIDENTIAL DATA STATISTICAL CONFIDENTIALITY COMMITTEE
DATA PROTECTION AUTHORITY
- ENROLMENT SESSION
- FINGERPRINTS TAKEN
- SD-BOX

10. National Institute of
Statistics and
Economical Studies
(INSEE)
Ministry of Finance Ministry of Labour
Ministry of
Agriculture
Ministry of Justice Ministry for Education
Ministry of
Environment
Central Agency for
Social Security
Organisations
Public Investment
Bank
Hospital Stays Memento Cohort National Agency for Information
on Housing and Lodging

11. Assessing financial constraints at the firm level: a new
approach
Economic cycle and reallocation of resources: the
importance of the creation and destruction of businesses
International trade of waste: key factors
Credit constraints and innovation
Governance and innovation: a study of the context in
France

16. • 27 people working at CASD (IT, datascience, statistics…)
• 207 confidential data sources
• 1500 in France and in Europe (UK, DE, NL, SP, DK, CH, etc.)
• 500 projects
• More than 200 publications
• More than 400 access points (30% private companies (banking,
insurance, energy, transport)
5
Few figures