Big Data: The Pending Revolution in Public Administration in Mexico and the United States?

In the digital age, the ability of governments to process and analyze large volumes of data, known as big data, has become a determining factor in the efficiency and effectiveness of public administration. In both Mexico and the United States, the implementation of massive data analysis promises to transform policymaking and public service delivery. However, this technological advancement faces significant challenges in 2025, ranging from high costs to technical and ethical complexities.

The application of big data in public administration offers multiple benefits. It enables governments to anticipate social trends, optimize resources, and design more effective policies based on concrete evidence. For example, in the United States, Immigration and Customs Enforcement (ICE) has intensified its operations in Florida by using advanced technology, including artificial intelligence tools to verify immigration status and license plate readers to identify vehicles associated with criminal activities. These initiatives aim to improve law enforcement efficiency and public safety.

In Mexico, President Claudia Sheinbaum has proposed strengthening the competencies of the Public Security Secretariat, led by Omar García Harfuch, through legal initiatives aimed at establishing a national registry of mobile phone users and centralizing investigative tasks. These reforms seek to improve coordination between different entities and optimize responses to criminal activities through the use of massive data analysis.

 

Opinions and Costs Associated with Big Data Implementation

Implementing big data solutions in the public sector is not without significant costs. According to estimates, a large-scale data processing cluster may require between 125 and 250 nodes, with an approximate cost of $1 million. Additionally, software licenses and maintenance can add around $4,000 per node annually. While these figures represent a fraction of the costs associated with traditional enterprise data warehouses, they remain considerable investments for public finances.

Public policy experts emphasize that beyond financial investment, it is crucial to consider personnel training and the adaptation of existing infrastructures. The lack of advanced analytical skills and resistance to change within government institutions can hinder the effective adoption of big data technologies. Moreover, integrating legacy systems with new data analysis platforms requires meticulous planning and additional resources.

Complexities in the Application of Big Data in 2025

As we progress into 2025, the implementation of big data in public administration faces various complexities:

1. Data Protection and Privacy: The collection and analysis of large volumes of sensitive information raise concerns about citizens' privacy. In the United States, initiatives like the Department of Government Efficiency (DOGE), led by Elon Musk, which seeks access to the tax data of millions of Americans, have sparked debates over the limits of government access to personal information.

2. System Interoperability: The diversity of platforms and databases across different government agencies makes integration and coherent data analysis challenging. The lack of common standards can result in data silos and duplicated efforts.

3. Resistance to Change: The adoption of new technologies often faces resistance from personnel accustomed to traditional processes. A lack of understanding about the benefits of big data can limit its effective implementation.

 

Possible Solutions to Overcome the Challenges

To address these complexities, the following strategies are proposed:

• Strengthening Data Protection Legislation: It is essential to establish clear legal frameworks that define the limits and responsibilities in government data collection and usage, ensuring citizens' privacy and rights.

• Interoperability Standards: Developing and adopting common standards that facilitate system integration and the efficient exchange of information between different agencies and levels of government.

• Training and Awareness Programs: Investing in government personnel training to develop data analysis skills and promote an organizational culture open to technological innovation.

• Public-Private Collaboration: Encouraging partnerships with the private and academic sectors to leverage their expertise and resources in the development and implementation of big data solutions.

In conclusion, while integrating big data into public administration in Mexico and the United States presents significant challenges in 2025, its potential to transform governance and improve citizens' quality of life is undeniable. With strategic investments and a focus on data protection, interoperability, and training, governments can fully harness this powerful tool for the common good.

Written by: Editorial