New Data Sources
Transcript of New Data Sources
New Data Sources Andrew O’Sullivan Assistant Director General / CIO Central Statistics Office Social Statistics in the ESS Statistics Austria Vienna, 2 October 2017
Introduction
• Analytics vs. (Official) Statistics Maturity• COLLECT PHASE – Examples: Integrated Administrative Data
• Greater than analytic value of individual datasets
• COLLECT PHASE – Example: Mobile Tourism Data• DISSEMINATE PHASE – Example: Visualisation vs. Derived
Statistics• Conclusions
Analytics Maturity Administrative Data Mobile Data Visualisation vs. Composite Introduction Conclusions
Collect Process Analyse Disseminate
Search “Analytics Maturity Model”
Introduction Administrative Data Mobile Data Visualisation vs. Derived Analytics Maturity Conclusions
Data Integration: Graduate Outcomes
Introduction Graduate Statistics What do Graduates Do What do Graduates Earn Where do Graduates Work Conclusions
Source Tier Personal Data
Analysis Tier Pseudonymised Data
3rd Level Enrolment P35 CRS Form 11
Personal Identifiers Removed
Enrolment Data P35
CRS Form 11
Matching using Protected Identifier Key based on PPSN
Introduction Analytics Maturity Mobile Data Visualisation vs. Derived Administrative Data Conclusions
Proportion of Graduates in each NACE Sector
2010 Graduates, substantially employed
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Proportion of Substantially
Employed Graduates
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After 3 years
After 5 years
Introduction Analytics Maturity Mobile Data Visualisation vs. Derived Administrative Data Conclusions
NACE Sectors by Sex
2010 Graduates, after 3 years
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Proportion of Substantially
Employed Graduates by Sex
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Male Female
Introduction Analytics Maturity Mobile Data Visualisation vs. Derived Administrative Data Conclusions
Earnings by Field of Study – Time since Graduation
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Weekly Earnings (€)
2010 Graduates, after 1, 3 and 5 years, NFQ 8,substantially employed
Introduction Analytics Maturity Mobile Data Visualisation vs. Derived Administrative Data Conclusions
Earnings by Degree Class
Introduction What do Graduates Do What do Graduates Earn Where do Graduates Work Conclusions
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445 540
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Weekly Earnings (€)
Years since Graduation
H1/Distinction H21/M1 H22/M2 H3/Pass
2010 Graduates, NFQ Level 7 and 8, Substantially employed
Graduate Statistics
Data Integration: Residential Property Price Index
Introduction Admin Data Composite Stats Mobile Data Conclusions Analytics Maturity Introduction Analytics Maturity Mobile Data Visualisation vs. Derived Administrative Data Conclusions
12PM 7PM
Source: Vodafone / Fáilte Ireland (CSO does not hold mobile data)
Insight Gap: Tourism Statistics By Region
Straight Visualisation Apps vs. Derived Statistics
Introduction Administrative Data Mobile Data Analytics Maturity Visualisation vs. Derived Conclusions
Conclusions
Introduction Administrative Data Mobile Data Visualisation vs. Composite Conclusions Analytics Maturity
• New data sources easier to identify and leverage if considered from an outcome / value perspective
• Integrated data more powerful than standalone – more true than ever with new sources
• Consider blending Analytics and Statistics for more effective Dissemination and better user experience