Data Management Platform for Yeşilay (TÜBİTAK 1707- 3235026)

Project Title 2

Data Management Platform for Yeşilay  (TÜBİTAK 1707- 3235026)

Name of legal entity

Country

Name of client

Origin of funding

Dates

(Start-end)

Name of consortium

members, if any

BYS Grup

Türkiye

YEŞİLAY

TÜBİTAK

02.01.2024 - ONGOING

Yeşilay Danışmanlık ve Pazarlama A.Ş.

BYS Grup

Detailed description of project

Type and scope of services provided

This project, initiated under the auspices of Yeşilay which is the NGO established in 1920 and works for fighting against addiction in Turkiye, and through its branches in other countries; aims to establish a comprehensive data management platform designed to systematize and enhance the analytical capabilities of the organization. The primary goal is to create a specialized data warehouse database system that will organize both historical and ongoing records, transforming disparate data into structured formats conducive to advanced analysis.

By employing sophisticated data mining methods, the project seeks to derive meaningful, time-based insights that align with historical data trends. This will facilitate the creation of a unifying decision support system that integrates data from various sources, thus enabling more informed decision-making processes. Additionally, the project will focus on ensuring data privacy and security, which are paramount given the sensitive nature of the data handled.

The envisioned platform will support Yeşilay’s strategic objectives by providing actions and predictive analytics that can guide future strategies and interventions in addiction prevention and treatment. This initiative will not only streamline data management but also unlock the potential for data-driven decision-making within the organization.

  • Data Warehouse Development:
  • Database System Design: Establishing a secure and scalable data warehouse architecture that will serve as the backbone of the data management platform, utilizing technologies like PostgreSQL for robust data handling.
  • Data Integration and Harmonization: Consolidating and harmonizing data from various sources within Yeşilay, ensuring consistency and accuracy for reliable analytics.
  • Advanced Analytical Modelling and Data Mining:
  • Algorithm Implementation
  • Data Collection and Preprocessing
  • Machine Learning Infrastructure:
  • Dynamic Software Architecture
  • Model Training and Evaluation
  • Statistical Analysis and Business Intelligence (BI) Applications:
  • Data Visualization and Reporting
  • BI Integration
  • Data Privacy Measures, Monitoring and Updates
  • Capacity Building and Technical Support