By National Bureau of Statistics STRATEGIC PLANNING AND MANPOWER DEVELOPMENT – NBS EXPERIENCE

OUTLINE  Strategic Planning  Statistical Strategic Plan  Why Strategic Planning  Examples of Strategic Plan on Statistics  Manpower Planning and Development  Monitoring & Evaluation  Challenges  Conclusion

 Strategic planning  Strategic planning is the process through which strategies are formulated, implemented and evaluated.  Strategic planning has been the subject of many meetings  Weak statistical systems existing in most of our countries, the need to adopt strategic planning arose to ensure:  Proper management of the activities and resources and  To install public confidence in the information being generated

 Statistical Strategic Plan  A roadmap for the development of national statistics over a period of time  Mission, vision, core values  Strategies  Provide a framework for harnessing resources  Monitor & Evaluation role for : - National Development Plans - Pro-poor Poverty Reduction Strategies

 Why Strategic Planning  In Nigeria, as in other developing countries, the NSS is usually:  under-resourced,  under-performing,  operate under weak institutional frameworks and  deploy mainly out-dated technologies in data collection, processing, management and dissemination.

 Examples of Strategy Plan on Statistics  Annual Work Programme  Mid- Term Strategic Plan  National Statistical Master Plan (NSMP)  State Statistical Master Plan (SSMP)  Sector Statistics Strategy (SSS)  NBS Corporate Strategy  National Strategy for the Development of Statistics (NSDS)  Man Power Plan (Human Resources)

 Annual Work Programme S/NACTIVITYHOW W H E NRESPONSIBILITY Q1Q2Q3Q4

Mid- Term Strategic Plan NBS Corporate Strategy Plan S/no.Activity Timeline Key Stakeholders Expected Outputs Budget Estimates Review and Upgrade the State Statistical Year Book (SSYB) Template NBS, 37 States Updated SYB template and Installed in 37States

Mid- Term Strategic Plan: NSDS Logical Framework S/NSTRATEGIC OBJECTIVES PROJECT PROCESSES INPUT ACTIVITIESOUTPUTOutcome 1Statistical Advocacy Corporate Image Enhancement Corporate Image Enhancement Workshop at all Level No. Workshop/ Seminars Held Press Briefing Improved Interest in the use of Data 2Organization Resources Devt & Mgt 3Human Resources Devt. 4Infrastructural Devet. 5 Information Communication Technology 6 Coordination of Data Production Process 7Data Dissemination Policy 8Statistical Auditing/ M& E 9Data Management 10Securing Adequate Funding for Plan

 Mid- Term Strategic Plan  Manpower Plan (Human Resources)

 Mid- Term Strategic Plan  Manpower Plan (Human Resources) S/NTraining CoursesProducers NBSSSAs (SBS)MDAs Year ( ) ‘15‘16‘17‘18‘19Total‘15‘16‘17‘18‘19Total‘15‘16 ‘17‘18‘19Total 1.Survey Management Gender Statistics GDP/CPI Computation Macro-Economic Modeling and Accounting Trade and Balance of Payment M-Soft Application using MS Office, Advanced SPSS etc Gender Statistics GDP/CPI Computation Macro-Economic Modeling and Accounting  Training Workshop

 Mid- Term Strategic Plan  Manpower Plan (Human Resources) S/ N Training CoursesProducers NBSSSAs (SBS)MDAs Year ( ) ‘15‘16‘17‘18‘19Total‘15‘16‘17‘18‘19Total‘15‘16 ‘17‘18‘19Total Middle Level Statistical Staff Course Computation of CPI Analysis of Labour Force Survey National Accounts Analysis Course Managing Statistical Organization in the 21st Century  Courses for Skill Development

 Mid- Term Strategic Plan  Manpower Plan (Human Resources) S/ N Training CoursesProducers NBSSSAs (SBS)MDAs Year ( ) ‘15‘16‘17‘18‘19Total‘15‘16‘17‘18‘19Total‘15‘16 ‘17‘18‘19Total Master’s Degree in Statistics Master’s Degree in Computer Science Master’s in Economics Master’s Degree in Public Administration PHD in Statistics PHD in Computer Science PHD in Economics  Academic Courses

 Monitoring and Evaluation Baseline Survey Quarterly Monitoring and Assessment Bi- Annual Assessment Performance Evaluation Annual report/ Impact Assessment Effective M&E should include:

Quarterly Monitoring and Assessment Quarter ____ S/NACTIVITYTime AchievedPercentage Achieved Challenges Encountered

Challenges Slow pace of statistical Development in many MDAs and States. Poor executive commitment Poor funding Pooling system affecting PRS departments staffing Right mix of staff Coordination activity not well rooted Etc.

CONCLUSION The National statistical system in Nigeria is evolving positively, and Government commitment towards statistics has tremendously improved in recent years. The next phase of NSDS will address outstanding areas of statistics development. All stakeholders are also required to brace up for the challenges ahead in order to fully advance the National statistical system

Thanks for your Attention