Content
Client
Organization of Ibero-American States (OEI) & Government of Cundinamarca
Industry
Government / International Cooperation / Public Policy
Executive Summary: The Value of HugeX
The OEI and the Government of Cundinamarca needed to identify where to strategically locate a new Regional Science and Technology Park. The challenge involved manually reading and correlating the Development Plans of 116 municipalities. Using HugeX, they automated the reading and semantic analysis of thousands of pages, compressing a 6-month task into just hours of processing, allowing evidence-based decisions rather than political intuition.
The Challenge: Paralysis by Data Volume
To make a sound public investment decision, a comprehensive diagnosis of the department was required. However, the information was "trapped" in unstructured documents:
Document Dispersion
Key information resided in 116 Municipal Development Plans (long and complex texts), Chamber of Commerce databases, and DANE/DNP records.
Human Impossibility
Humanly analyzing each plan, extracting 180 specific variables and crossing them with each other to find scientific vocations required an estimated effort of 3,850 man-hours (approx. 6 months of continuous work).
Bias Risk
Manual analysis ran the risk of subjectivity in interpreting the productive vocations of each region.
The Solution: HugeX Architecture for Public Policy
We deployed HugeX as a "Territorial Analytics Engine" that converts bureaucratic text into strategic heat maps:
1. Implementation Fabric
Ingestion and Normalization of Heterogeneous Sources
We used the fabric layer to automate data collection that was previously done manually.
Automated ETL
Implementation of crawlers and extraction processes to read the 116 development plans in PDF format and structured (SQL) and unstructured (excel) databases.
Data Cleaning
Standardization of formats and elimination of inconsistencies to prepare data for cognitive analysis, ensuring that information from a small municipality was comparable to that of a large one.
2. Trust Custody
Semantic Artificial Intelligence (NLP) and Correlation
Here lies the "brain" of the project. It wasn't just about searching for keywords, but understanding contexts.
NLP Models
Application of Natural Language Processing algorithms to "read" the plans and detect vocations (e.g. identifying if a municipality has a real bet on biotechnology or agro-industry).
Matrix of 180 Variables
The system automatically correlated 180 strategic variables (economic, academic, social) to rate the aptitude of each municipality to host ST&I projects, eliminating human bias.
3. Performance Nodes
Geospatial Visualization for Strategic Decision
The final result was not just a PDF report, but a living decision tool.
Interactive Map
Development of a geographic viewer that allows the Government to visualize vocations by province and municipality.
ST&I Park Geolocation
The system recommended the optimal location of the Regional Park based on the concentration of capacities detected by AI, presenting the evidence in dynamic control dashboards.
Impact Results (Extreme Efficiency)
Time Acceleration
Drastic reduction of analysis time from 3,850 estimated hours (manual) to just hours of processing with AI. A time saving of 95%.
Total Coverage
Analysis of 100% of the 116 municipalities of Cundinamarca with the same depth and technical rigor.
Investment Precision
Data-based identification of the real vocations of the territory, ensuring that ST&I resources are invested where there is installed capacity to leverage them.
"With HugeX, we transformed bureaucracy into strategic intelligence. What would have taken a team of experts half a year to read and tabulate, the platform processed in a matter of days, giving us a clear and grounded roadmap for science and technology investment in the department."— Adriana Molano - OEI