Global Insights: Guatemala's Economic Landscape, Supply Chain Challenges in a Post-Pandemic World, and Data Analytics

Global Insights: Guatemala's Economic Landscape, Supply Chain Challenges in a Post-Pandemic World, and Data Analytics

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In This Weeks Edition

Global Job Market Trends: Navigating Guatemala's economic landscape: growth, challenges, and prospects

Industry Trends: Building resilience, strengthening manufacturing supply chains in a post-pandemic world

Global Talent Trends: Data analytics and predictive modeling, transforming finance and insurance


Guatemala's Economic Landscape

¨Guatemala's average employment rate stood at 59.78%, reaching its peak at 63.5% in 2012 (...)¨

Guatemala, the largest economy in Central America with a population of 17.3 million and a GDP of $92.7 billion in 2022, has shown stable growth despite challenges. Its GDP grew by 4.1% in 2022 and 3.5% in 2023, projected to grow by 3% in 2024. However, poverty and inequality persist, with poverty affecting 55.1% of the population in 2023.

Factors such as a small state, limited access to services, and frequent disasters contribute to these challenges. Despite this, Guatemala's potential for growth is significant, given its cultural richness, natural resources, biodiversity, and proximity to the United States. President Bernardo Arévalo, inaugurated in January 2024, aims to address these issues through social and economic investment, anti-corruption measures, and reforms focused on public sector accountability, trade, investment, and human development.

Unemployment Rate:?

  • As of May 28, 2024, Guatemala recorded an employment rate of 58.4% in 2022, a decrease from 61.6% in 2021.
  • Over the period from 2012 to 2022, Guatemala's average employment rate stood at 59.78%, reaching its peak at 63.5% in 2012 and dropping to its lowest point of 58% in 2019.

For more information please see:?The World Bank in Guatemala and?Guatemala Employment Rate?


Industry Trends: Supply Chain Resilience

¨Supply chain resilience has become a priority for manufacturers, particularly after the COVID-19 pandemic highlighted vulnerabilities in global supply chains.¨

The COVID-19 pandemic exposed vulnerabilities in global supply chains, leading manufacturers to focus on building more resilient and agile supply networks, often by diversifying suppliers and investing in technology to improve visibility and control.

Supply chain resilience has become a priority for manufacturers, particularly after the COVID-19 pandemic highlighted vulnerabilities in global supply chains. To enhance resilience, manufacturers are diversifying their supplier base, shifting production closer to primary markets, investing in technology for better visibility and traceability, optimizing inventory levels, fostering collaboration with stakeholders, and developing risk assessment and contingency plans. These measures aim to build flexibility, redundancy, and adaptability into the manufacturing process, ensuring continuity of operations despite disruptions.

For more information please see How Covid-19 Impacted Supply Chains and What Comes Next and?Supply Chain Resilience


Global Talent Trends: Data Analytics and Predictive Modeling

¨These tools extract insights from vast datasets, informing business strategies, optimizing processes, and improving decision-making.¨

Data-driven decision-making is becoming increasingly important in all industries but specifically in the finance and insurance industries. Professionals with strong data analytics and predictive modeling skills are in demand to analyze large datasets, identify trends, and make informed business decisions.

Data analytics and predictive modeling are revolutionizing the finance and insurance industries. These tools extract insights from vast datasets, informing business strategies, optimizing processes, and improving decision-making. They play crucial roles in risk management, fraud detection, and personalized customer services. In insurance, predictive modeling assists in underwriting, pricing, and claims management by assessing risk profiles and detecting fraudulent activities. Overall, data analytics enhances operational efficiency, customer engagement, and risk mitigation in finance and insurance.


For more information please contact us at?sgfglobal.com?

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