Socio-Economic Metric Analyzer

EasyChair Preprint no. 13385

Abstract

A potent instrument for analyzing and evaluating the numerous socio-economic indicators that affect people's growth and well-being is the Socio-Economic Metric Analyzer (SEMA). With the help of this all-inclusive software, one may comprehend and assess important metrics like income distribution, poverty rates, educational attainment, access to healthcare, and employment trends in a holistic manner. Policymakers, academics, and analysts can make well-informed decisions and create successful strategies to address socio-economic concerns by studying these variables through SEMA. SEMA makes use of cutting-edge data analytics and visualization methods to provide intricate socioeconomic data in an understandable and efficient way. With the assistance of the program, users can find patterns, correlations, and trends in the data, which offers important insights into the variables affecting socioeconomic outcomes. Moreover, SEMA provides the adaptability to personalize analysis according to certain regions, demographic categories, or chosen variables, enabling focused actions and customized solutions. SEMA makes socio-economic analysis accessible to a broad variety of users, including government agencies, non-profit organizations, and academic institutes, thanks to its user-friendly interface and intuitive design. Decision-makers can monitor progress and assess the effects of policies and initiatives by easily generating reports, graphs, and charts that provide a thorough picture of socio-economic trends. To sum up, the Socio-Economic Metric Analyzer is an essential resource for comprehending and evaluating socio-economic metrics. Because of its capacity for data analysis and visualization, decision-makers are guaranteed to have access to fast, reliable, and pertinent information that is essential for tackling socioeconomic issues and advancing sustainable development.

Keyphrases: analyzer, charts, Data Analytics, decision makers, education levels, Employment Patterns, graphs, healthcare access, income distribution, indicators, insights, metrics, Poverty rates, progress monitoring, reports, socio-economic, sustainable development, Targeted interventions, user-friendly, visualization

@Booklet{EasyChair:13385,
  author = {M Nanda Kishor and A Srithan and M Chidvilas and V Joseph Raymond},
  title = {Socio-Economic Metric Analyzer},
  howpublished = {EasyChair Preprint no. 13385},

  year = {EasyChair, 2024}}