The State of Data: Evaluating BIG DATA & its Impact A presentation By Engr. Aliyu Abubakar Aziz Director General/CEO, National Identity Management Commission 14th June, 2017

Outline of Presentation STATE OF DIGITAL DATA DATA ECOSYSTEM ACTIONABLE ANALYTICS FROM BIG DATA BIG DATA MATURITY MODEL - ROADMAP TO DATA INTEGRATION NIMC’S STATE IN THE BIG DATA MATURITY MODEL IMPACTS OF BIG DATA CONCLUSION

Ü      STATE OF DIGITAL DATA GLOBAL TRENDS 6 1 5 2 4 3 Smartphone online usage leaving rich data trail at every turn  1 Increased data storage capacity & cost Ü  GLOBAL TRENDS 5 Only a fraction of the potential value of data and analytics are captured 2 Data has gained tremendous richness and diversity   4 Data is structured & unstructured 3 Data volume doubles every 3 years 

DATA ECOSYSTEM Data Generation and Collection: The source and platform where data are initially captured. Data Aggregation: Process and platforms for combining data from multiple sources. Data Analysis: The gleaning of insights from data that can be acted upon. Data Infrastructure: The hardware and software associated with data management 4

The Big Data

Characteristics of Big Data Volume Big Data Velocity Big Data Variety Variability Big Data Veracity Capacity

BIG DATA CHARACTERISTICS Volume The size of the data determines the value and potential insight - and whether it can actually be considered big data or not Volume The type and nature of the data. This helps people who analyze it to effectively use the resulting insight. Variety In this context, the speed at which the data is generated and processed to meet the demands and challenges Velocity Inconsistency of the data set can hamper processes to handle and manage it. Variability Database must have the capacity to fit into almost endless sequences of search patterns and queries without performance degradation Capacity Veracity The quality of captured data can vary greatly, affecting accurate analysis. 7

ACTIONABLE ANALYTICS FROM BIG DATA Descriptive - What happened? - What is happening? Diagnostic - Why did it happen? - What key relationships? Predictive - What will happen? - What if? How risky? Prescriptive - What should happen? - How can I optimize? 8

BIG DATA MATURITY MODEL Business Monitoring Business Insights Business Optimization Data Monetization Business Metamorphosis To understand your position in exploiting big data and analytics to power business models Provides a roadmap for integration of data and analytics into business models Framework against which adoption of big data can be measured 9

BIG DATA MATURITY MODEL Business Metamorphosis: Leverages data, analytics, and insights to metamorphose businesses. Major shift in business model Data Monetization: Seek to create new sources of revenue – selling data or insights – into new markets, products, services etc. Business Optimization: Build on insights uncovered in the Business Insights phase by applying prescriptive analytics to optimize key business processes Business Insights: Expansion of data assets with transactional and operational data, coupled with new internal data sources Business Monitoring: Applying data warehousing and Business Intelligence techniques and tools to monitor the organization’ business performance 10

About NIMC Establish a national Identity Database Provide identity services- authentication & verification Issue unique identifier Harmonize & integrate existing ID Databases Issue a GMPC national ID card Regulate the Nigerian identity Sector 11

NIGERIAN DATA GENERATION & COLLECTION SCENARIO FRSC – drivers’ licence NIMC – National Identification Number (NIN) 17M BVN – bank account owners 3M 28M NIS – passport holders’ register 5M DATA GENERATION & COLLECTION IN SILOS! INEC – voters’ register 60M FIRS – tax payers’ register 2M NCC – SIM register 56M NPoPC – population register 180M 12

ONGOING DATA AGGREGATION & HARMONIZATION Drivers’ License Voter Register SIM Register BVN data from banks NIN Enrollment Data PIPELINE National Identity DATABASE Key words: Many sources, options, add to pipeline, database, create a base, use multiple sources to create a strong database

OUTPUTS FROM AGGREGATED DATA IN NIMC NIN & eID Card Provisioning Statistical Data National Identity DATABASE Verification & Authentication KYC Data Key words: Many sources, options, add to pipeline, database, create a base, use multiple sources to create a strong database Identification

Enrolled 17 million Nigerian Citizens & Printed 1 million eID Cards NIMC’S STATE IN THE BIG DATA MATURITY MODEL Enrolled 17 million Nigerian Citizens & Printed 1 million eID Cards Business Monitoring Business Insights Business Optimization Data Monetization Business Metamorphosis NIMC is applying data warehousing and Business Intelligence (BI) techniques and tools to monitor ongoing business performance. NIMC provides access to the data through Verification Service – a form of Data Monetization Creating reports and dashboards that monitor current state of business, and alert key stakeholders with pertinent information whenever special ‘out of bound’ performance situations occur. 15

Impacts of Big Data BIG DATA WILL BECOME A KEY BASIS OF COMPETITION AND GROWTH FOR INDIVIDUAL FIRM THERE WILL BE A SHORTAGE OF TALENT NECESSARY FOR ORGANIZATIONS TO TAKE ADVANTAGE OF BIG DATA SEVERAL ISSUES WILL HAVE TO BE ADDRESSED TO CAPTURE THE FULL POTENTIAL OF BIG DATA – data policies, technology & techniques, organizational change & talent, access to data, industry sector THE USE OF BIG DATA WILL UNDERPIN NEW WAVES OF PRODUCTIVITY GROWTH AND CONSUMER SURPLUS

Key Learning Points & Takeaways BUILD HUMAN CAPITAL FOR BIG DATA DEVELOP POLICIES THAT BALANCE THE INTERESTS OF COMPANIES WANTING TO CREATE VALUE FROM DATA AND CITIZENS WANTING TO PROTECT THEIR PRIVACY AND SECURITY ALIGN INCENTIVES TO PROMOTE DATA SHARING FOR THE GREATER GOOD ESTABLISH EFFECTIVE INTELLECTUAL PROPERTY FRAMEWORKS TO ENSURE INNOVATION ADDRESS TECHNOLOGY BARRIERS AND ACCELERATE R&D IN TARGETED AREAS ENSURE INVESTMENTS IN UNDERLYING ICT INFRASTRUCTURE

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