Document 1: State of affairs and comparative analysis of national Big Data Strategies
This study provides an analysis of the main characteristics of the existing government strategies related to Big Data, while clarifying the operational concept of Big Data used throughout this project.
Document 2: Best practices on how governments can implement a strategy to stimulate the Big Data business ecosystem
This study provides an analysis of levers and channels – from tax incentives to regulatory guidelines, legal frameworks to fiscal interventions – through which a modern government such as Colombia can stimulate this sector and its contribution to the country’s economy.
Document 3: Analysis and diagnostic of the current situation in Colombia structured around six dimensions
This study is framed around six specific dimensions, including: (1) current state of the normative and ethical framework, (2) organizational and institutional dimensions, (3) physical infrastructure (technology), (4) data architecture, (5) human capital and data culture, and (6) investments related to the use of data.
Document 4: Recommendations and inputs for the definition of a national Big Data strategy
This paper provides a series of recommendations and inputs for the definition of the Big Data strategy for the Colombian Government. It aims to provide short, medium and long term actions that will enable the government to overcome the technical, social and human capital challenges that currently exist with regards to data and Big Data.
Document 5: Implementation plan proposal for the Big Data Strategy of the State
This paper has four main objectives: 1) to strengthen the Big Data ecosystem in the country; 2) to develop new analytical capacities for the greater use and production of better quality information; 3) to foment the digital economy, and 4) to promote the adaptation of Artificial Intelligence solutions in public administration.
Document 6: Economic and social impact of implementing the strategy
This study focuses on the potential economic and social benefits in the different areas of the Big Data ecosystem. The first part of the document discusses the limits and benefits of the Big Data ecosystem, as well as how to measure the value it generates. The second part has the objetive of relating the potential economic and social benefits of the Big Data ecosystem with the proposed strategy.
Document 7: Pilot project of data analysis – Business survival
This document describes the data analysis process of the pilot developed by EyS Soluciones Empresariales, who mainly used Survival Analytics to create a predictive and diagnostic data analysis model of the determinant factors for the survival and exportation of Colombian businesses.
Document 8: Pilot Project of data analysis – Detection of anomalies in the SISBEN and mobility
This paper describes the results of the pilot project, the data and methodologies used as well as the challenges and obstacles found during the process. It is divided in the four stages of the project: problem analysis, data exploration, machine learning techniques, and model evaluation.
Document 9: Definition of the Big Data strategy for the Colombian state and for the development of the Big Data industry in Colombia
This document includes the recommendations and guidelines for how the Colombian government can advance data analysis projects, providing a Big Data model for those who seek to resolve, analyze, and understand at a greater granularity the problems of public management through data. The objective is to guide the reader through the different sections and variables that have to be taken into account to formulate a public management project that positively impacts the public policies with data.
Author(s):
Viviana Cañón, Andrés Clavijo, Alex "Sandy" Pentland, Luis Godoy, Emmanuel Letouzé, Gabriel Pestre, Julie Ricard, Isabella Loaiza, Nicolas de Ligny, Daniel Rodríguez, Orlando Savedra, Luisa García, Mónica Moreno, Diego Silva, Irving Wladawsky-Berger, Maria Antonia Bravo, Valentina Casasbuenas, Gonzalo Araujo, Andrés Lozano
2017-2020 (in Spanish)