DataCon
DataCon is a consortium of organizations geared towards creating a robust, scalable and interoperable data and AI ecosystem that powers innovation and economic growth in Sierra Leone.
Partners
Data is the foundation of modern technological advancements, yet Sierra Leone faces a significant lack of structured, reliable, and scalable data infrastructure. This has resulted in challenges across multiple industries, including education, healthcare, finance, and AI development, where localized datasets are essential for effective decision-making and innovation.
Recognizing this gap, DataCon was formed as a collaborative consortium comprising DataSynk, Geneline-X, DorbAI, Fortizo Technologies, Peapp Pay, Saful Pay, and other strategic partners. The consortium's objective is to create a reliable, scalable, and interoperable data ecosystem that enables efficient data collection, secure storage, intelligent processing, and AI-driven analytics to power innovation and economic growth in Sierra Leone
Infrastructure
our aim is to build a solid data infrastructure, an this is how we streamline that process
Data Warehouse
Central repository for structured information
Data Collection
Systematic gathering of relevant data across sectors
AI Applications
Development of use cases leveraging local data
Data Analytics
Central repository for structured information
Aims & Objectives
Data Collection, Processing & Hosting
Data Warehousing & ETL Services – Implement end-to-end solutions for storing and processing data efficiently. Data Governance & Compliance – Ensure compliance with international and local data protection laws. Data Verification & Quality Assurance – Develop mechanisms to validate and clean data for accuracy and reliability. Cloud Data Solutions – Deploy cloud-based infrastructure to ensure high availability and scalability.
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Automation Tools Development
Data Cleaning & Transformation Tools – Automate data structuring for better usability. Data Pipeline Development – Build automated workflows for continuous data ingestion. AI-Driven Data Annotation – Implement smart labeling techniques to prepare datasets for AI model training. AI-Powered Data Processing – Leverage AI to extract insights and automate repetitive tasks.
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AI Use Cases & Data Services
AI Model Training & Development – Build AI solutions using localized, real-world datasets. Industry-Specific AI Solutions – Create sector-specific applications for education, healthcare, finance, and business analytics. AI for Automation & Optimization – Deploy AI to improve efficiency in decisionmaking and operations. AI-Driven Data Analytics – Provide deep insights
Learn MoreImplementation Roadmap
Our strategic approach to building Sierra Leone's data infrastructure
Market Research & Strategic Planning
- •Conduct data needs assessment
- •Identify key stakeholders and establish partnerships
- •Develop regulatory compliance framework
Data Collection, Processing & Hosting
- •Implement standardized data collection methods
- •Establish cloud-based data warehouse
- •Develop data governance policies
Automation Tools Development
- •Build AI-driven tools for data ingestion
- •Automate ETL workflows
- •Implement data verification systems
AI Use Case Development & Monetization
- •Deploy AI-driven analytics and insights
- •Develop industry-specific AI solutions
- •Monetize datasets through subscription services
Our Partners
A collaborative consortium building Sierra Leone's data future
Join Our Consortium
Become a part of Sierra Leone's data revolution. We're looking for partners in technology, research, government, and business sectors.
