THE IMPACT OF PREDICTIVE ANALYTICS FOR POVERTY ALLEVIATION PROGRAMS: A CASE STUDY OF SOCIAL INTERVENTION SCHEMES IN GOMBE STATE
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Poverty alleviation programs aim to address the pervasive issue of poverty, particularly in underserved regions like Gombe State. Despite substantial investments in social intervention schemes, the efficiency and impact of these programs are often hindered by inadequate targeting, resource misallocation, and insufficient monitoring mechanisms.
Predictive analytics, an AI-driven approach, offers a powerful solution to these challenges. By leveraging data from various socio-economic indicators, predictive models can identify vulnerable populations, forecast program outcomes, and optimize resource allocation. Applying predictive analytics to social intervention schemes in Gombe State could enhance the efficiency of poverty alleviation programs and improve the livelihoods of beneficiaries.
Statement of the Problem
Social intervention schemes in Gombe State often struggle with inefficiencies in identifying and addressing the needs of the most vulnerable populations. The lack of predictive analytics integration has limited the effectiveness of these programs, resulting in suboptimal outcomes.
Aim and Objectives of the Study
-
To examine the impact of predictive analytics on the efficiency of poverty alleviation programs in Gombe State.
-
To assess the role of data-driven insights in optimizing resource allocation for social intervention schemes.
-
To recommend strategies for integrating predictive analytics into poverty alleviation frameworks.
Research Questions
-
How does predictive analytics improve the efficiency of poverty alleviation programs?
-
What role does data-driven decision-making play in optimizing social intervention schemes?
Research Hypothesis
-
Predictive analytics significantly enhances the targeting efficiency of poverty alleviation programs.
-
The use of predictive analytics improves resource allocation in social intervention schemes.
-
Predictive analytics leads to better program outcomes and reduced poverty levels.
Significance of the Study
This study underscores the importance of integrating predictive analytics into poverty alleviation strategies, providing evidence-based recommendations for improving the effectiveness of social intervention schemes in Gombe State.
Scope and Limitation of the Study
The study focuses on social intervention schemes in Gombe State and their integration of predictive analytics. Limitations include data availability and the varying scales of existing intervention programs.
Definition of Terms
-
Predictive Analytics: The use of AI-driven tools to forecast outcomes based on historical and current data.
-
Poverty Alleviation Programs: Initiatives aimed at reducing poverty and improving the standard of living.
-
Social Intervention Schemes: Government or NGO-led programs designed to address socio-economic challenges.
Related Project Materials
An investigation of e-learning platforms and their impact on student performance: A study of universities in Plateau State
Background of the Study
E-learning platforms have revolutionized the educational landscape by providing students with greater access to l...
IMPACT OF ADVERTISING ON THE SALES AND CONSUMPTION OF COCA COLA
Abstract
The media has been machinery for influencing consumers’ choice of product in a competitive market by inf...
An assessment of digital transformation strategies on operational performance in banking: a case study of Co-operative Bank of Nigeria
Background of the Study
Digital transformation has emerged as a strategic imperative for banks seeking to improve operational performance...
The Impact of Financial Crises on the Stability of Islamic Banking Systems
Background of the Study
Financial crises exert severe pressures on banking systems worldwide, and Islamic banks are no exce...
Role of Cost-Benefit Analysis in Decision-Making for Agricultural Enterprises in Maradun LGA
Background of the Study
Agricultural enterprises in Maradun LGA, like in many rural ar...
An assessment of the influence of online sports journalism on football fandom in Surulere Local Government, Lagos State
Background of the Study
Online sports journalism has rapidly transformed the landscape of football fandom...
The role of human resource planning in business sustainability: A case study of First Bank in Kano State
Background of the Study
Human resource planning (HRP) is a strategic process aimed at forecasting an organization’s h...
An appraisal of the effectiveness of sanitation policies by local governments in Daura Local Government Area, Katsina State
Chapter One: Introduction
1.1 Background of the Study
Sanitation is a critical aspect of publ...
THE IMPACT OF BUSINESS ANALYTICS ON INNOVATION
Abstract: THE IMPACT OF BUSINESS ANALYTICS ON INNOVATION
This study investigates the impact of bu...
The Impact of Board Independence on Financial Reporting Transparency in FMCG Companies in Niger State
Background of the Study
Transparency in financial reporting is a cornerstone of corporate governance, f...
