1. IMPLEMENTATION OF BIG DATA AND
ANALYTICS, AND MONITORING AND
EVALUATION SYSTEM IN STATE OF OSUN
Frankfurt olawole OGUNFUNMINIYI
IKEJA 8 SET

2. Outline
• Agency Profile
• Problem Statement
• Research Objectives
• Theoretical Framework
• Research Design

3. Outline Cont.
• Summary of Findings
• Generation Of Possible Options
• Selected Option
• Contribution To Knowledge
• Conclusion

4. Agency Profile
• Bureau of Social Services was created in 2011
• A non-project implementing agency but have
responsibilities with all agencies of government to:
• monitor and supervise all policies, programmes and projects (three Ps)
of the administration
• research/Analyse/Monitor (RAM) all acts of omission and commission of
government
• assess and evaluate the performance of State Commissioners and
Heads of MDAs in their implementation of the Action Plan of
Government, and any other State policy directive

5. Savings and Expenditure in 3years
• Savings: 4,174,000,000.00
• Expenditure: 106,200,000.00

6. KEY SAVINGS / EXPENDITURE IN
3years
Training
8%
Software
12%
Equipment
11%
Salary
32%
Operating Expenses
32%
Miscellaneous
5%
Expenditure in 3yrs

7. Problem Statement
• The State of Osun inability in making informed decisions
on projects, programs, and policies; poor budget
performance and wastage of more than 45% of the state
annual budget results as attendant challenges of the
state.

8. Research Objectives
• to critically discuss Big Data and Analytics concepts and
practices
• to identify and evaluate specific instances where Big Data
and Analytics has been influential
• to examine and assess ethical issues associated with the
use of Big Data

9. Research Objectives Cont.
• to review and appraise the objectives of monitoring and
evaluation system in the state
• to investigate and provide capacity and resources needed
to bring technology (Analytics) and Monitoring and
Evaluation profession together.
• to make recommendations for solutions to the identified
challenges in the state

10. Theoretical Frameworks
• Two Frameworks were used.
• The modified version of “ICT-For Development” – Cube Framework
Source: (Hilbert, 2012 : 2)

11. Theoretical Frameworks Cont.
People Process Technology Triangle – Diamond Triangle Model
Source: (Edwards , 2011 : 299)

12. Research Design
• Phenomenological qualitative
• Research objectives 4
• Survey Research
• Research objectives 1,2,3,5,6
• Questionnaire piloted during collection of data for research
objective 4 (during phenomenological qualitative study)

13. Sample and Sample Techniques
• Purposeful Sampling for Phenomenological study
• Bureau of Social services
• Office of Budgeting and Economic Planning
• Simple random sampling for survey research
• Ministry of Information and Strategy
• Ministry of Innovation, Science and Technology
26 from from 67 plus addition of 4 to reduce non-response

14. Summary of Findings
• Agencies responsible for providing Information
Technology support to other agencies of government are
aware of the concept of Big Data application, and required
software for Big Data
• The study shows that agencies responsible for providing
Information Technology support have no business case
for Big Data Initiatives.

15. Summary of Findings Cont.
• The study revealed that operational risk is the most
threatening risk in the use of Big Data in the state.
• It was found from the study that monitoring and
Evaluation system in the state is not achieving the desired
results.

16. Summary of Findings
• The study established that resources and expertise for
Big Data application is scarce and challenging for State
ministries to find.
• As described by the Cube framework used in this work,
the process and policy components of the Big Data
implementation in the state is not doing well if there is any
at all.

17. Generation of Options
• Option A: Outsourcing the implementation
• Option B: In-sourcing the implementation
• Option C: Public-Private Partnership

18. Analysis of Options

19. Implementation Plan

20. Contribution to Knowledge
• Big Data and Analytics is new. Research on its application
in different fields is not exhaustive yet, especially its
application in government and public sectors of
developing countries and Africa in particular.
• This work intends to contribute to application of Big Data
and Real Time Analytics in Monitoring and Evaluation
leading to effective Budgeting in State of Osun
• Using Cube and Diamond Triangle Models

21. Conclusion
• Based on the researcher’s analysis of the research
questions using the already proven frameworks
implementing
• this work would provide the required answers to the challenges
faced by State of Osun as regards making informed decision on
implementation of projects, programs and policies.

22. Discussion Summary
• Agency Profile
• Problem Statement
• Research Objectives
• Theoretical Framework
• Research Design
• Summary of Findings
• Generation Of Possible Options
• Selected Option
• Contribution To Knowledge

23. THANK YOU