OLAP PivotTable Extensions is an Excel add-in which extends the functionality of PivotTables on Analysis Services cubes, the Excel Data Model (Power Pivot), and Power BI
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Updated
Jul 25, 2024 - Inno Setup
OLAP PivotTable Extensions is an Excel add-in which extends the functionality of PivotTables on Analysis Services cubes, the Excel Data Model (Power Pivot), and Power BI
Assessed historical shipping data for a shipping company selling products and shipping them to its customers' destinations to determine future shipping strategies.
Using Excel Power Query and PowerPivot, reorganise the data into a star schema and showcasing reports that can be created by data analysts using DAX formulae and PowerPivot
This DAX-based eCommerce dashboard provides a real-time snapshot of a business's financial position, aiding FP&A by highlighting key metrics for better decision-making. It handles large datasets from 2019 to 2021, visualizing KPIs like cumulative sales, profitable customers, and profit trends.
The folder of my work with Excel, VBA, and PowerBI for Data Analysis & Visualization.
This project showcases a comprehensive Customer Detail Dashboard built using Excel. It visualizes key metrics and insights from transactional data (2020-2022), providing an interactive interface for analyzing customer behavior, sales performance, and profitability across regions and demographics.
Our sales analysis leverages data-driven insights to understand customer preferences, seasonal trends, and market dynamics. By uncovering patterns in sales data, we inform strategic decisions, optimize inventory, and boost customer satisfaction. At Adventure Works, we transform data into actionable strategies to meet the evolving needs of adventure
Assessed 8 years of historical shipping data to develop strategies for future shipping optimization and sales performance improvement.
Movie Data Analysis using Advanced Excel
Developed an interactive dashboard for analyzing Netflix content, highlighting strong data analysis skills through insightful visualizations.
Content: Import & Direct query, Data Modelling (Power Pivot), Star & Snowflake Schema, Normalisation & Cardinalities, Cross-filter direction and Sync Slicers
Engineered Excel reports for sales analysis and Profit & Loss evaluation by country, year, month, and product
Sales Data Analysis using Advanced Excel
Expense analysis in households with Microsoft excel using kaggle dataset.
Created interactive dashboards using Excel , provide insights into various aspects of store performance, including customer behavior. The goal is to help store managers and stakeholders make data-driven decisions for improving profitability and operational efficiency.
Data-driven project aiding University of Leicester students in finding affordable housing through Python scraping, Excel analysis, and PowerPoint visualisation. Insights on rental prices, property types, and optimal locations.
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