IAOS-OECD 2018 conference, 19-21 September 2018, Paris. More information at: http://www.oecd.org/iaos2018/

1. Mart Mägi
Director General
20.09.2019
NEW ERA FOR NSOs –
LEADER IN DATA GOVERNANCE

2. Statistics Estonia – small testing environment
 Established in 1921
 Joined European Statistical
System in 2004
 Centralised system, only 2
producers: Statistics Estonia and
Eesti Pank (central bank of
Estonia)
 Guided by Official Statistics Act
and European Statistics Code of
Practice
 Producing 1 bn indicators annually
 Information about demographic,
social, economic and
environmental development
 Half of indicators are
internationally comparable
 Main information producer for all
media channels in Estonia
 Over 1 mln followers yearly

3. Main challenges and goals
Strong data governance
Better source data quality
User-friendly dissemination
Personalised view of information
Real-time data mining
Quick and quality decision-making
Reliable information
Quality label for official statistics
High quality of statistics
High-quality indicators with metadata
Real-time information
Faster and simpler information
Globalisation and Big Data
More in-depth information
Low administrative burden
Once-only principle in data collection

4. New era of data collection – Reporting 3.0
99% web-
based, option
for
aggregated
data upload
Traditional
web-based
Registers
Data sharing
with ERPs Currently
more than
150 registers
Voluntary XBRL
Based on Ontology
To:
Statistics Estonia
Estonian Tax Board
Central Bank of Estonia

5. Prerequisites for quick and reliable information
To ensure that data for decision-making is correct and relevant in terms of time
and content:
 understand, where and how data appears (metadata)
 establish data governance principles, data standards and quality control
 administered data access, processing and anonymised sharing
 visualisation of indicators and dissemination with meta information

6. Data Governance – new central role for NSOs
Use
cases
Data
quality
Information
System Authority
Data Protection
Inspectorate
National
Archives, etc.
- Models
- Policies
- Standards
- Classifications
- Descriptive
- Structural
- Administrative
- Reference
- Statistical
- Data stewards
- Data life-cycle
- “Once-only”
• Architecture of
state information
systems
• State data and
document
exchange layers
• State cyber
security
• State key
infrastructure
• Personal data
protection
• Access to public
data
• Restricted
information
protection
• Data archive
• Source data of
surveys
- Accuracy
- Correctness
- Completeness
- Relevance
Meta
information
Data
architecture
DATA
GOVERNANCE

7. City of Pärnu flood risk map
Availability of public transport
Real-time
data mining
New area of experimental statistics:
 more community-centered to
provide better life for citizens
 more real-time to spot critical
areas
 more interlinked with public
services
 developed in closer cooperation
with universities, research
organisations and communities

8. User-friendly
dissemination
Next era in dissemination:
 more different channels
e.g. TV, social media, direct
marketing
 more personalised
e.g. Pinterest, Netflix
 more simple
e.g. Pinterest, Netflix
 more responsive
e.g. Facebook, LinkedIn

9. Reliable information – branding of quality
Critical
indicators
Statistics
Estonia
ONAs
Other
registers
Other
sources
Ministry
and
municipality
dashboards
Government
&SDG
dashboard

10. Conclusion
Reliable
information
Real-time data
mining
Low
administrative
burden
User-friendly
information
High-level
data governance