The Future of Statistics: Incorporating Technological Innovations and Data

The president of the Brazilian Institute of Geography and Statistics (IBGE), Marcio Pochmann, recently highlighted the need to embrace technological innovations and incorporate data-driven solutions in national statistical production. During his participation at the 15th Meeting of Heads of the National Statistical Institutes of the BRICS countries, Pochmann discussed the preparation for the 2030 Demographic Census and emphasized the importance of interactive and hybrid alternatives for its implementation.

Adapting to the Digital Age

The advent of the Digital Age has revolutionized the generation and interaction of metadata, bringing forth significant transformations. In response to this new ecosystem of data, the IBGE is exploring ways to integrate technological advancements such as artificial intelligence, big data, algorithms, and machine learning into statistical production. Recognizing the potential improvements in the quality of economic information collected from the private sector, Pochmann expressed the need to incorporate these innovations effectively.

Pochmann, representing the IBGE at the BRICS meeting in Johannesburg, South Africa, highlighted the challenges faced by nations in maintaining secure and sovereign control over statistical data. He emphasized that the capture and utilization of metadata have often been monopolized by large transnational corporations, undermining the government’s ability to govern effectively. By embracing technological innovations and data-driven approaches, the IBGE aims to regain control and ensure the availability of reliable statistical information.

Main Themes of Discussion

The heads of the BRICS statistical institutes converged around four main themes during their meeting:

1. New preparation for the Demographic Census in 2030, considering hybrid alternatives for implementation.
2. Interactive innovations in the collection of economic data with the private sector to enhance efficiency and data quality.
3. Development of vocational training in statistics and data sciences.
4. Integration of social, economic, geographic, and climate change data for statistical analysis.

These themes reflect the ongoing dialogue between the IBGE and various stakeholders, including employees, collaborators, the scientific community, and representatives from the executive, legislative, and judicial powers. The aim is to prioritize these themes in the work plan for the next three years, with the goal of establishing a Sovereign National System of Statistics, Geoinformation, and Data by 2026.

Ensuring Cybersecurity and Sovereignty

One of the key concerns discussed at the meeting was the importance of cybersecurity and safeguarding the sovereignty of technical-scientific activities of statistical institutes. As data becomes more integral to decision-making processes, it is crucial to protect statistical information from unauthorized access and ensure its integrity. The heads of the BRICS statistical institutes recognized the need to prioritize cybersecurity measures to maintain the trust and reliability of statistical data.

Expanding Insights and Perspectives

“Statistics are no longer just about numbers. They represent the heartbeat of a nation, guiding policies, decisions, and investments. Embracing technology and data-driven approaches is essential for staying at the forefront of statistical production and ensuring the reliability of information.” – Marcio Pochmann, President of IBGE

While the original piece provides an overview of the discussions at the BRICS meeting, it is essential to delve deeper into the subject matter and provide unique insights or perspectives. Here are some key points to consider:

The Impact of Technological Innovations

Technological advancements are reshaping statistical production, allowing for more efficient data collection and analysis. By embracing artificial intelligence, big data analytics, and machine learning algorithms, statistical institutes can extract valuable insights from vast amounts of information. This not only improves the quality of economic data collected from the private sector but also enables more accurate forecasting and trend analysis.

Example: The integration of artificial intelligence in survey methodologies has the potential to automate data collection and reduce costs significantly. By leveraging machine learning algorithms, statistical institutes can extract relevant information from unstructured data sources, such as social media posts, emails, and online forums.

Enhancing Data Collection from the Private Sector

Collaboration with the private sector is crucial for obtaining comprehensive and up-to-date economic data. Traditional data collection methods, such as surveys and questionnaires, often face limitations in terms of response rates and timeliness. By incorporating interactive innovations, statistical institutes can leverage digital platforms and partnerships to collect real-time data directly from businesses and organizations.

Example: Implementing data sharing agreements with major industry players can provide statistical institutes with access to anonymized transactional data, enabling a more accurate and dynamic assessment of economic indicators such as prices, production, and employment.

Growth of Data Sciences and Integration

With the exponential growth of data, statistical institutes need to strengthen their data science capabilities and integrate diverse datasets to gain a comprehensive understanding of societal and economic phenomena. By combining social and economic information with geographic and climate change data, statistical analyses can provide insights into the complex interplay between different factors.

Example: By integrating demographic data with climate change information, statistical institutes can examine the impact of environmental factors on population migration patterns or assess the vulnerability of certain regions to natural disasters.

Challenges in Maintaining Data Sovereignty

As the collection and utilization of metadata become increasingly vital, maintaining data sovereignty has emerged as a significant concern. Statistical institutes must ensure that data remains secure, easily accessible, and free from external influences. By establishing robust cybersecurity frameworks and fostering partnerships with relevant entities, statistical institutes can safeguard the integrity and confidentiality of statistical information.

Example: Developing advanced encryption techniques and regularly auditing data protection protocols can help mitigate the risk of data breaches and unauthorized access to sensitive statistical information.

Conclusion

The discussions at the BRICS meeting reflect a growing recognition of the transformative potential of technological innovations and data-driven approaches in statistical production. The IBGE, alongside other statistical institutes, is committed to embracing these advancements to improve the quality, timeliness, and accessibility of statistical information. By incorporating interactive and hybrid alternatives, statistical institutes can gather more accurate data, enhance data collection processes, and provide valuable insights to guide policy-making, investments, and decision-making processes in the public and private sectors.

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In summary, the discussions at the BRICS meeting highlighted the need for statistical institutes to embrace technological innovations and incorporate data-driven approaches into their operations. The IBGE, represented by its president Marcio Pochmann, emphasized the potential benefits of implementing interactive and hybrid alternatives for the 2030 Demographic Census. By integrating artificial intelligence, big data analytics, and machine learning algorithms, statistical institutes can enhance the quality and timeliness of economic information collected from the private sector. The discussions also underscored the importance of data sovereignty and cybersecurity to ensure the integrity and confidentiality of statistical information. By leveraging technological advancements and fostering collaborations, statistical institutes can provide valuable insights to guide policy-making and decision-making processes. Stay informed about the future of statistics by subscribing to our newsletter.

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