{"id":25271325,"url":"https://github.com/relostar-devil/analytical-decision-modelling","last_synced_at":"2025-04-06T06:43:53.064Z","repository":{"id":276851470,"uuid":"922346784","full_name":"Relostar-Devil/Analytical-Decision-Modelling","owner":"Relostar-Devil","description":"Optimizing advertising performance and production planning using data-driven decision modeling and leveraging mathematical optimization (Gurobi) to improve ROI by effectively allocating ad spend and managing production costs.","archived":false,"fork":false,"pushed_at":"2025-02-10T19:02:30.000Z","size":2160,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-10T20:20:27.893Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Relostar-Devil.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-26T00:17:45.000Z","updated_at":"2025-02-10T19:05:14.000Z","dependencies_parsed_at":"2025-02-10T20:20:29.643Z","dependency_job_id":"927408b4-f107-4b4e-8cbd-896e9b27dbc3","html_url":"https://github.com/Relostar-Devil/Analytical-Decision-Modelling","commit_stats":null,"previous_names":["relostar-devil/analytical-decision-modelling"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Relostar-Devil%2FAnalytical-Decision-Modelling","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Relostar-Devil%2FAnalytical-Decision-Modelling/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Relostar-Devil%2FAnalytical-Decision-Modelling/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Relostar-Devil%2FAnalytical-Decision-Modelling/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Relostar-Devil","download_url":"https://codeload.github.com/Relostar-Devil/Analytical-Decision-Modelling/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247445651,"owners_count":20939953,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-02-12T12:23:06.510Z","updated_at":"2025-04-06T06:43:53.043Z","avatar_url":"https://github.com/Relostar-Devil.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Analytical Decision Modeling  \n\nThis repository contains analytical decision modeling projects focused on optimizing advertising performance and production planning. The analysis is based on real-world data and employs data-driven decision-making techniques, including mathematical modeling and visualization.  \n\n## Repository Contents  \n\n- **Python Code (`Analytical Decision Modelling Python Code.ipynb`)**  \n  - Implements an optimization model using Gurobi to maximize profitability by optimizing advertising spend and production costs.  \n  - Includes constraints for ad spend, revenue relationships, and production costs.  \n  - Uses a profit-maximization objective function to enhance business efficiency.  \n\n- **Presentation (`KCC Analysis.pptx`)**  \n  - Summarizes key findings of advertising performance analysis.  \n  - Visualizes insights on sales, ad efficiency, and optimization strategies.  \n  - Discusses future considerations for improving ad spend efficiency and scalability.  \n\n- **Report (`REPORT.docx`)**  \n  - Provides an in-depth analysis of KCC Development Inc.'s advertising strategy.  \n  - Highlights challenges such as high Advertising Cost of Sales (ACoS) and conversion rate optimization.  \n  - Proposes data-driven recommendations for improving advertising ROI and inventory management.  \n\n## Key Insights  \n\n- **Optimization Model:**  \n  - Helps allocate advertising budget effectively to maximize return on investment.  \n  - Suggests an optimal production strategy to reduce costs and improve efficiency.  \n\n- **Advertising Performance Analysis:**  \n  - Identifies trends in ad spend, revenue, and key performance indicators (KPIs).  \n  - Proposes improvements in cost-per-click (CPC) and conversion rates (CVR).  \n\n- **Strategic Recommendations:**  \n  - Implement an optimized advertising budget allocation.  \n  - Leverage data-driven decision-making for production and inventory planning.  \n  - Improve forecasting models for better resource allocation.  \n\n## Usage  \n\n1. Open the Jupyter Notebook (`Analytical Decision Modelling Python Code.ipynb`) to run the optimization model.  \n2. Review the PowerPoint presentation (`KCC Analysis.pptx`) for a high-level summary.  \n3. Refer to the detailed report (`REPORT.docx`) for a comprehensive understanding of the findings and recommendations.  \n\nThis repository showcases a structured approach to analytical decision modeling, combining optimization techniques with real-world business insights.  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frelostar-devil%2Fanalytical-decision-modelling","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frelostar-devil%2Fanalytical-decision-modelling","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frelostar-devil%2Fanalytical-decision-modelling/lists"}