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The HR-Analytics Attendance Dashboard uses Power Query, DAX Query and Power BI to analyze employee attendance data and provide insights into attendance patterns. The data is cleaned and transformed using Power Query and DAX Query. A dashboard is created with visualizations, measures, filters, and slicers to help HR identify areas for improvement.
Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.
Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.
This repository contains all the necessary files and documentation for a detailed analysis of bank loan data using a combination of SQL, Power BI, Excel, and Tableau. The project aims to uncover insights related to loan applications, funding, repayments, and borrower demographics, facilitating data-driven decision-making in the banking sector.
Namaste! A Pizza Store is named ‘Pizza Kitchen’ in NY, USA. The store manager wants to analyze key indicators for pizza sales data to gain insights into the business performance. And also wants us to suggest solutions to boost the sales and overall business performance. The pizzas sales data is from January, 2015 to December, 2015.
Using POWER BI to perform data visualization in different domains to show insights, trends and forecasts by using different datasets like excel, csv and SQL.
This dashboard provides a comprehensive overview of hospital bed utilization, doctor feedback volumes, diagnosis distributions, and financial comparisons of different diagnostic services. It aims to facilitate data-driven decisions for hospital management and operations.
📈 Based on the report insights ,here are the outcomes of the sales :- 1️⃣ Women are more likely to purchase (65%) than men. 2️⃣ Maharashtra , Karnataka and Uttar Pradesh were the top contributors to sales (35%). 3️⃣ The adult age group (30-49 yrs) made the most contributions(50%). 4️⃣ Amazon, Flipkart and Myntra channels were the contributer.
The HR-Analytics Dashboard uses Power Query, DAX Query and Power BI to analyze employee attendance data and provide insights into attendance patterns. The data is cleaned and transformed using Power Query and DAX Query. A dashboard is created with visualizations, measures, filters, and slicers to help HR identify areas for improvement.
A Power BI dashboard delivering in-depth market insights through: Data Integration: Power Query for diverse data sources. Data Prep: Advanced M Code scripting for data refinement. Analysis: DAX-powered complex computation. Visualization: Interactive charts for strategic decision-making.
This project showcases the use of Power Query and DAX Query to analyze employee details, add new measures and columns, and create a dashboard using Power BI.