1. Managing Statistics at States and Federal MDAs level using e-Template Platform under NSS By B i y i F a f u n m i Head (Data Management) National Bureau of Statistics

2. Past Situation Past methods of assembling and managing administrative statistics rely on manual technologies which are slow and in the long run expensive. The methods are also very inefficient. Sources Users

3. Modern Method Dataset 1 Dataset 2 Dataset 3 Database Managem ent System Task 2 Task 3 Task 1 Report 1 Report 2 Report 3 The foregoing shortcomings of assembling and managing administrative statistics make it desirable to introduce new technologies into the process. Database(s)

4. Need….. System Coordination Physical connection Well developed and structured Content eTemplate –SSYB eTemplate /database eTemplate –Sector Statistics eTemplate /database –Micro data Management System

5. Statistical Coordination at Federal level AlH. R.A. Sanusi Director CPTC National Coordinator Coordination @ MDAs & Research Institutes Supervisor A Ministry A Departments/ Agencies under Ministry A Research Institutes Under Ministry A Supervisor ….. Ministry B Departments/ Agencies under Ministry B Research Institutes Under Ministry B Supervisor X Ministry X Departments/ Agencies under Ministry X Research Institutes Under Ministry X Coordination Within NBS Officer I Department 1 Macro dataset Micro Dataset Officer…. Department 2 Macro dataset Micro dataset Officer K Department 7 Macro dataset Micro dataset

6. Statistical Coordination in NBS (States) NSDS Director CPTC Mr. B.O Amobi (Coordinator) Mrs. F. O. Obikudu (Supervisor) SE States F. Akinyeke Abia ebonyi W. Tariah Anambra Imo Enugu Mr. A.D. Mustapha (Supervisor) SW States B. Akanni Ekiti Ondo Osun A.A. Ayoola Lagos Ogun Oyo Mr. M.Simon (Supervisor) SS States F. Adegoke Akwa Ibom Bayelsa C/Rivers E.E Ntukidem Delta Edo Rivers Mrs. N.F. Nwokedi (Coordinator) Mr. S.B Harry (Supervisor) NC States L.A. Ibrahim Kogi, Kwara FCT nassarawa C.C. Mbah Benue Niger Plateau Mr. J. Aikhionbare (Supervisor) NW States Nwokocha Kebbi Sokoto Zamfara N.D Akoma Jigawa, Kano Kaduna katsina Mrs. F.A. Obamedo (Supervisor) NE States O.M. Olatunbosun Adamawa Gombe taraba B. Ode Bauchi Borno Yobe

7. .. an e-Statistics grid : MDA connection to NBS SSA & other Connectio ns CPTC Codex Modem Cisco 2620 Router Cisco 3640 Router Fibre Digital Subscriber Line DSL LAN 25 1 NBS Data Center MDAs

8. The VPN Cloud Of the Nigerian Data Nervous Systems (NDNS)

9. NBS & Federal MDAs VPN Design Health Customs Finance Account General Labour Cycle name NBS DC Petroleum Interior Information & Comm. Head of Service National Assembly CBN NPopC Transport Education Agric Industries Energy Active In progress

10. Connectivity between NBS and SSAs V-SAT connecting SSA in Niger State to NBS V-SAT connecting NBS Hqrt to all SSAs

11. NBS Failover Centre, Lagos

12. 21 October 2015Dr. V.O. Akinyosoye Sever Room Main Server, Proxy Server, Application Server, Communication Server, Portal Server Storage Server & SQL Server MDAs Server, UPS & Stabilizer Room Communication Room NBS Data Centre

13. Content Development

14. Sources of Statistics CensusesSurveys Administrative Statistics 14

15. Features of the Application User friendly Running on Windows7, XP, Vista, can be upgraded to run on any new window environment Developed to have two Interfaces –Administrator –Users Backend database is Access and SQL

16. State Statistical Year Book, SSYB

17. The eTemplate/database User Icon Admin Icon

18. Users’ Login window

19. Application Window

20. The Template Menu Bar

21. Table of Content

24. Ministry Department & Agencies MDAs

25. List of Sectors covered The 30 data groups, according to the International Standards of Industrial Classification (ISIC) and other UN classification systems: 1.Agriculture16.Public Finance 2.Water Resources17.Prices and Price Indices 3.Petroleum18.National Accounts 4.Mining & Quarrying19.Public Order, Crime & Justice 5.Manufacturing20.Education 6.Electricity Supply & Demand21.Population & Vital Statistics 7.Water Supply22.Health and Human Services 8.Housing, Building & Construction23.Employment & Labour 9.Distributive Trade & Services24.Environmental Statistics 10.International Trade & BOP25.Membership Organisations 11.Hotels, Restaurants & Tourism26.Recreation & Sporting Activities 12.Transport 27.Religion & Related Activities 13.Information and Communications28.Public Administration & Security 14.Money & Banking29.Meteorological Statistics 15.Financial Intermediation 30.Research and Development

26. Compendium Compendium of Terms, Concepts, Definitions & Methodologies

27. Details of the Compendium NBS has produced a compendium of Statistical Terms, Concepts, Definitions and Methodologies for Data Production and Management in Nigeria covering 30 data sets and about 54,000 variables. The compendium helps every data producer and user to know the sources of all types of socio-economic data about Nigeria, the definition of variables on which data are being or will be collected, preserved and disseminated. The process will also help to coordinate statistical operations in the country since state and local government version of the compendium will also be developed

28. Coding and Classification Sectroral Data Divisions used in compiling the Statistical Compendium follow the International Standard Industrial Classification (ISIC) Code and UN classification systems: The classification follow Division - Item - Details [DID] coding system The classification is to maintain standard among the Data Producers and Users as a step toward Statistical Data and Metadata Exchange Initiative

29. Coding and Classification – Sector Statistics 29 DETAILS ITEMS DIVISION

30. Coding and Classification – e.g. Education Statistics 30 80 01 DivisionItem Code

31. DIVISION ITEMS DETAILS

32. Coverage –Year –Month –Quarter –Week –day Location –National –State –City –LGA

33. MDA, Data Capture Template

38. Dissemination to users

39. Data Portal - dissemination

40. DevInfo - Dissemination

41. Access to Micro Level Data

44. Benefits Data Consistency Reduce data Conflict Timely Data release Reduce error emanating from data entry Provide level of data clearing mechanism Etc…