Data Harmonization and an Outlook to ECOWAS

Transcription

1 Mindshare 2017 Data Harmonization and an Outlook to ECOWAS Engr. Aliyu A. Aziz Director-General/Chief Enrollment Officer National Identity Management Commission (NIMC) Abuja, NIGERIA

2 Presentation Outline 2 02 About Nimc 01 Data Forest & its threats Key Points & Takeaways Data Harmonization and ECOWAS outlook

3 3 Big Data Forest Disparate Databases Needing Integration MULTIPLE FORMS OF ID CARDS SILOS OF DATABASES No Uniqueness No TRUST Citizen Voter Banker Passport SIM Driver State 1 State 36 Health

4 4 Consequences Massive Exclusions Social benefits and the Poor Socio-economic Planning Claim of entitlements Basic rights Undeveloped sectors - (Financial, Industrial, Agricultural etc) Credit Bureau Consumer Credit Mortgage and other sectors Financial Inclusion Security Issues Physical: Law and Order Business Environment Multiple/ghost/duplicate identities Frauds: Identity related Frauds & Scam Terrorism & Militancy: Duplication of Systems/efforts Huge investment/infrastructure Cost High operational cost Maintenance of multiple & costly silos ID databases Creation of Idle Assets

5 Threats Hurdles to achieving integration goals 5 05 Analysis To efficiently harmonize the data into a central repository AND offer stellar verification and related TRUST services, we need to overcome the following challenges Political Will 02 Legal Framework Peculiarities 01 Upscaling Deficiency Absence of a Central ID Repository Poor Quality Source Biometrics

6 6 About NIMC

7 About NIMC Establish a national Identity Database Provide identity services- authentication & verification Issue unique identifier - NIN Harmonize & integrate existing ID Databases Issue a GMP national ID card Regulate the Nigerian identity Sector National Identity Management Commission 7

8 8 The Smart Card 8

9 Data Growth National Identity Database since Goal 10x After many challenges over the years, putting the regulatory framework together, building the NIMS Infrastructure The Commission embarked on an enrollment strategy in 2012, which has grown exponentially since The current goal is 10x: to have enrolled 10 times the number of the previous year. 14m 17.2m m <60k m 2016 NOW 2012

10 10 Data Harmonization

11 Harmonised Database Components The following data sources are currently being Harmonised into the National Identity Database Nigerian epassports (NIS) Drivers License (FRSC) SIM Register (NCC) epassports Drivers Licence SIM Register Citizens Enrolment Records

12 12 12 Harmonised Database Components The following data sources are currently being Harmonised into the National Identity Database Voters Register (INEC) Bankers (CBN - NIBBS) Health Insurance Register (NHIS) Voting BVN Health Register Citizens Enrolment Records

13 History of Observed Data 13 Harmonisation Data System Migration Presidential Card Launch Recession

14 Histogram of Observed Data 14 Mean Enrolment = 253,400

15 Modelling/Simulation of Observed Data 15

16 Volatility Simulation Showing 16 Improvements

17 Fitted Histogram vs Volatility Model 17

18 DENDROGRAM OF HARMONISED & INTEGRATED DATA - OUTPUT 18 RECEIVED (Total Records from Source agency) 3,976,852 (100%) PROCESSED 3,923,415 (98.66%) Not PROCESSED 53,437 (1.34%) NIN GENERATED 2,351,510 (59.95%) HITS 1,571,121 (40.05%) AFIS ERROR 784 (0.02%) NON NIG. 12,045 (22.54%) CHILDREN 7,889 (14.76%) NOT ENOUGH FINGERPRINTS 11,322 (21.19%) OTHERS e.g. Data Validation 22,181 (41.51%) BY PASS 3 (0.0001%) SUCCESSFUL NIN 2,351,507 ( %) True 94.18% 37.65% 56.35% Yet to be Cleared. 91,128 True HITS 1,393,830 (94.18%) FALSE HITS 86,163 (5.82%) False 5.82% 2.40% 3.60% Hit 40.05% Success 59.95%

19 19 Road Ahead Copy of Database NIMC Identity DB Agency Database

20 20 Data Streaming

21 Deep Learning 21

22 22 ECOWAS Card Outlook

23 The Idea 23 Why the Different Cards? Motivation Solutions Personality Insurance Benefits Travel Security Vision Taxation

24 Quick Look 24 The Cards at a view NIMC eid ECOWAS NIMC eid 2 LASSRA 5-13 Applets 1 Applet 4-5 applets 2 applets EMV-certified TBD ICAO-compliant ICAO-compliant ICAO-compliant Match-on-Card? MoC MoC 10 minutiae 2 minutiae 4-10 minutiae 2 minutiae In Circulation In view In View In View

25 Comparison Chart 25 Component view ECOWAS NIMC 1 NIMC 2 LASSRA Polycarbonate LDS 1.x MRZ Contact Interface Contactless Interface Memory >=32k 78k 128k ~32k

26 Comparison Chart 26 Component view ECOWAS NIMC 1 NIMC 2 LASSRA BAC SAC CAN

27 27 Key Points & Takeaways

28 28 Key Questions Addressed with Harmonized Data Past Present Future What happened? (Reporting) What s happening? (Alerts) What will happen? (Extrapolation) How and why did it happened? (Modelling, experimental Design) PPast What s the next best action? (Recommendation systems) Present What s the best/worst that can happen? (Prediction, optimization, simulations) Future

29 29 DELTA δ ~ change D for accessible, high-quality DATA E for ENTERPRISE orientation L for analytical LEADERSHIP T for strategic TARGETS A for ANALYSTS

30 30 Benefits of Being Analytical. 01 Help manage and steer business in turbulent times 02 Know what s really working, desired or random statistical fluctuations 03 Leverage previous investment 04 Cut costs & improve efficiency by use of optimization and predictive models 05 Manage risks with precise metrics and risk management models 06 Anticipate changes, detect patterns, and improve decision making

31 31 Key Points & Takeaways First integrate the Biggest and best tree in the forest Automate the Adjudication process Adopt Eco-system approach through Licencing for data capture and utilization. Allow citizen to consume Authentication and Verification services. Harvest your fruits - Digital certificates in the PKI, for future applications in the emerging data structures

32 THANK YOU FOR YOUR ATTENTION