Managing Statistics at States and Federal MDAs level using e-Template Platform under NSS

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 Users Sources • 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.

3. Report 1 Task 1 Database Management System Report 2 Dataset 1 Task 2 Dataset 2 Dataset 3 Report 3 Task 3 Modern Method • 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 • SSYB eTemplate /database • Sector Statistics eTemplate/database • Micro data Management System

5. Statistical Coordination at Federal level

6. Statistical Coordination in NBS (States)

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

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

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

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

11. NBS Failover Centre, Lagos

12. NBS Data Centre Communication Room • Sever Room • Main Server, Proxy Server, Application Server , Communication Server, Portal Server • Storage Server & SQL Server MDAs Server, UPS & Stabilizer Room 20 September 2014 Dr. V.O. Akinyosoye

13. Content Development

14. Sources of Statistics

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 Admin Icon User Icon

18. Users’ Login window

19. Application Window

20. The Template Menu Bar

21. Table of Content

24. Ministry Department & AgenciesMDAs

25. List of Sectors covered The 30 data groups, according to the International Standards of Industrial Classification (ISIC) and other UN classification systems: 1. Agriculture 16. Public Finance 2. Water Resources 17. Prices and Price Indices 3. Petroleum 18. National Accounts 4. Mining & Quarrying 19. Public Order, Crime & Justice 5. Manufacturing 20. Education 6. Electricity Supply & Demand 21. Population & Vital Statistics 7. Water Supply 22. Health and Human Services 8. Housing, Building & Construction 23. Employment & Labour 9. Distributive Trade & Services 24. Environmental Statistics 10. International Trade & BOP 25. Membership Organisations 11. Hotels, Restaurants & Tourism 26. Recreation & Sporting Activities 12. Transport 27. Religion & Related Activities 13. Information and Communications 28. Public Administration & Security 14. Money & Banking 29. 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

30. Coding and Classification – e.g. Education Statistics 80 01 Division Item 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…

45. Thank UUUUUUU