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$8 USD / time
INDIAs flagg
bengaluru, india
$8 USD / time
Det er for øyeblikket 1:32 p.m. her
Ble med november 23, 2023
0 Anbefalinger

Shiva U.

@Shivanag2580

 0,0 (0 omtaler)
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$8 USD / time
INDIAs flagg
bengaluru, india
$8 USD / time
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Gjenansettelsesrate

Data Analyst | Power BI Developer & Visualisation

• Cleaning the data in the power Query editor and load into the desktop to perform the visualisation. • Develop dashboards and reports using Power BI to provide insights and recommendations to stakeholders. • Connecting Power BI with Database and Developing dashboard using DAX Queries like YTD, QTD, MTD and Calculate etc. • Comparison with previous day / Previous month and identify the growth day by day / month on month • Using Variables writing the DAX Queries. Variables can improve performance, reliability, readability, and reduce complexity. • SQL Development – Writing Queries to develop reports on Business requirement.
Freelancer Excel Experts India
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Portefølje

11870262
1.Dropdown Menu: The dropdown menu contains options for users to select from various parameters. In this case, the parameters include "State," "Warehouse," and "Brands Fill Rate." Users can choose which parameter they want to analyze. 2.Top or Bottom N Selection: Once users have selected a parameter from the dropdown menu, they can then specify whether they want to see the top or bottom N values for that parameter. For example, they might choose to see the top 10 states by sales revenue, the bottom 5 warehouses by inventory levels, or the top 15 brands by fill rate. 3.Dynamic Filtering: Based on the user's selection from the dropdown menu, Power BI dynamically filters the data to display the top or bottom N values for the chosen parameter. This allows users to focus their analysis on the most significant or least significant data points, depending on their specific requirements. 4.Interactivity: The dropdown menu enhances interactivity by allowing users to
Top/Bottom N with Multiple Parameters | Power BI
11870249
1.Selecting Required Fields in Rows: Users can choose which fields they want to display as rows in the table. For example, if the dataset contains information about products, they might select fields like "Product Name to display as rows in the table. 2.Selecting Column Parameters: Users can also specify which data they want to display in the columns of the table. This could include numerical values, dates, or other relevant metrics 3.Control over Display: Power BI provides users with control over how the data is displayed in the table. 4.Interactivity: Users can interact with the table to explore the data further. They can filter the data by selecting specific values or ranges By offering customizable tables, Power BI empowers users to tailor their data visualization to match their analysis requirements precisely. This flexibility enhances the usability of the dashboard and enables users to derive meaningful insights from their data more effectively.
Customize Table | Power BI
11870237
1. Warehouse Type Selection: This allows users to choose which type of warehouse they want to analyze. 2. Inventory Metrics: The dashboard will display various metrics related to inventory, such as total stock level, stock growth compared to the previous day, average stock level over a certain period, etc. 3. Stock Growth Comparison: This is a crucial aspect of the dashboard. It allows users to see how inventory levels have changed compared to the previous day. Positive growth indicates an increase in stock, while negative growth indicates a decrease. 4. Visualizations: Visual representations like charts, graphs, and tables are used to present the data in an easy-to-understand format. Line charts could show the trend of stock levels over time.
Inventory Analysis | Power BI
11870262
1.Dropdown Menu: The dropdown menu contains options for users to select from various parameters. In this case, the parameters include "State," "Warehouse," and "Brands Fill Rate." Users can choose which parameter they want to analyze. 2.Top or Bottom N Selection: Once users have selected a parameter from the dropdown menu, they can then specify whether they want to see the top or bottom N values for that parameter. For example, they might choose to see the top 10 states by sales revenue, the bottom 5 warehouses by inventory levels, or the top 15 brands by fill rate. 3.Dynamic Filtering: Based on the user's selection from the dropdown menu, Power BI dynamically filters the data to display the top or bottom N values for the chosen parameter. This allows users to focus their analysis on the most significant or least significant data points, depending on their specific requirements. 4.Interactivity: The dropdown menu enhances interactivity by allowing users to
Top/Bottom N with Multiple Parameters | Power BI
11870249
1.Selecting Required Fields in Rows: Users can choose which fields they want to display as rows in the table. For example, if the dataset contains information about products, they might select fields like "Product Name to display as rows in the table. 2.Selecting Column Parameters: Users can also specify which data they want to display in the columns of the table. This could include numerical values, dates, or other relevant metrics 3.Control over Display: Power BI provides users with control over how the data is displayed in the table. 4.Interactivity: Users can interact with the table to explore the data further. They can filter the data by selecting specific values or ranges By offering customizable tables, Power BI empowers users to tailor their data visualization to match their analysis requirements precisely. This flexibility enhances the usability of the dashboard and enables users to derive meaningful insights from their data more effectively.
Customize Table | Power BI
11870237
1. Warehouse Type Selection: This allows users to choose which type of warehouse they want to analyze. 2. Inventory Metrics: The dashboard will display various metrics related to inventory, such as total stock level, stock growth compared to the previous day, average stock level over a certain period, etc. 3. Stock Growth Comparison: This is a crucial aspect of the dashboard. It allows users to see how inventory levels have changed compared to the previous day. Positive growth indicates an increase in stock, while negative growth indicates a decrease. 4. Visualizations: Visual representations like charts, graphs, and tables are used to present the data in an easy-to-understand format. Line charts could show the trend of stock levels over time.
Inventory Analysis | Power BI

Anmeldelser

Endringer lagret
Ingen omtaler å se her!

Utdanning

Bachelor of Engineering

Visvesvaraya Technological University, India 2015 - 2019
(4 år)

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