Project Description:
Designed and executed an innovative and sophisticated Data Warehouse, Data Cube, and Online Analytical Processing (OLAP) reporting pipeline to analyze and forecast revenue trends in the rapidly evolving Android applications market.
This multifaceted project had several key components:
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Data Warehouse Development: Developed a scalable and efficient SQL Server-based Data Warehouse to house massive volumes of app-related data. With a well-structured ETL process using SQL Server Integration Services (SSIS), we ensured data cleanliness, transformation, and integration from multiple sources into a single, coherent repository.
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Data Cube Creation: Leveraged Microsoft SQL to construct a multidimensional Data Cube that provides a comprehensive and concise view of data, enabling quick analysis of complex queries. This feature revolutionized our ability to handle data by introducing new perspectives for querying and analysis.
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OLAP Reporting Pipeline: Built a highly interactive OLAP reporting pipeline that permitted complex analytical and ad-hoc queries with swift execution times. This allowed for real-time analysis and decision-making by providing rapid insights into revenue patterns and anomalies.
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Power BI Reporting: Utilized Microsoft Power BI for advanced data visualization and dashboarding, creating real-time, insightful visual reports that made it easy to comprehend the complex data trends and patterns. This empowered stakeholders to understand the data at a glance and make informed decisions quickly.
This project underscored my proficiency in data warehousing and OLAP technologies, as well as my capabilities in data visualization using Microsoft Power BI. The resulting analytical system is an essential tool that provides a deep, insightful understanding of revenue trends in the Android applications market and facilitates data-driven decision-making.
Project Files:
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Advanced_Revenue_Analysis_Pipeline_in_Android_Applications_Market_Detailed_Report.pdf: This comprehensive report provides in-depth information and a detailed analysis of the project. It offers insights into the design, execution, and outcomes of the data pipeline.
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Advanced_Revenue_Analysis_Pipeline_in_Android_Applications_Market_Project_Presentation.ppt: This PowerPoint presentation provides a high-level overview of the project. It is a useful tool for presenting key aspects and outcomes of the project in a condensed and visually appealing format.
