Data-Driven Decision Support Systems for Businesses
Table Of Contents
1. Introduction
1.1 Role of Data in Business Decision Making
1.2 Objectives and Scope of the Project
2. Data Collection and Integration
2.1 Data Sources and Acquisition
2.2 Data Quality and Preprocessing
3. Data Analytics and Visualization
3.1 Descriptive and Diagnostic Analytics
3.2 Interactive Dashboards and Reports
4. Machine Learning Models for Decision Support
4.1 Predictive Analytics and Forecasting
4.2 Prescriptive Analytics and Optimization
5. Implementation and Integration
5.1 Integration with Business Intelligence Systems
5.2 User Interface Design and Usability
Thesis Abstract
This project focuses on the development of data-driven decision support systems to assist businesses in making informed and strategic decisions. The research will explore the use of data analytics, machine learning, and visualization techniques to provide actionable insights and recommendations to business stakeholders. The project aims to investigate the impact of data-driven decision support systems on organizational performance and competitiveness.
Thesis Overview
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