Thursday, April 24, 2025

Power BI Dashboard preparation.

 

Step-by-Step Guide to Build Power BI Dashboards for KPIs


πŸ”Ή 1. Define Business Requirements

  • Meet with stakeholders to understand which KPIs matter (e.g., fraud rate, loan approval time, customer churn).

  • Clarify who the audience is (executives, managers, operations).

  • Define the frequency (daily, weekly, monthly) and granularity (summary vs detailed).


πŸ”Ή 2. Extract Data

  • Connect to data sources:

    • SQL databases (e.g., MS SQL Server, Oracle)

    • Excel/CSV files

    • APIs (via Power BI Dataflows or Power Query Web connector)

  • Load data using Power Query Editor


πŸ”Ή 3. Clean and Transform Data

  • Remove nulls, handle data types, and rename columns for clarity

  • Merge or append tables as needed (e.g., join customers, orders, and transactions)

  • Create calculated columns and measures using DAX (e.g., Total Sales, Avg Loan Processing Time)

  • Create a date/calendar table if needed for time-based KPIs


πŸ”Ή 4. Create KPIs with DAX

Examples:

DAX
Total Sales = SUM(Sales[Amount]) Churn Rate = DIVIDE(COUNTROWS(ChurnedCustomers), COUNTROWS(AllCustomers)) Fraud Rate = DIVIDE(COUNTROWS(FraudulentTransactions), COUNTROWS(AllTransactions))

πŸ”Ή 5. Build Visuals

  • Use appropriate charts:

    • Cards for high-level KPIs

    • Line charts for trends over time

    • Bar charts for category comparisons

    • Maps for regional performance

  • Use slicers and filters for interactivity


πŸ”Ή 6. Design for Clarity

  • Group visuals by theme (e.g., “Customer KPIs”, “Fraud Analysis”)

  • Use consistent colors and formatting

  • Apply bookmarks for navigation if multi-page

  • Optimize layout for readability


πŸ”Ή 7. Test and Validate

  • Cross-check KPI calculations with raw data or Excel validation

  • Ask business users to review before publishing


πŸ”Ή 8. Publish and Share

  • Publish to Power BI Service

  • Set up scheduled refresh (e.g., daily at 7 AM)

  • Share with stakeholders via Power BI workspace or embed in Teams/SharePoint


πŸ”Ή 9. Monitor and Improve

  • Collect feedback from stakeholders

  • Track dashboard usage in Power BI service

  • Update dashboards as KPIs or data sources evolve


Power BI Dashboard Project Summary: KPI Reporting for Business Stakeholders

Objective: Build an interactive Power BI dashboard to visualize and track key business KPIs from banking systems, helping stakeholders make data-driven decisions.


🧩 Project Steps Overview (Flowchart Style)


1. Define Requirements ↓ 2. Extract Data ↓ 3. Clean & Transform Data (Power Query / DAX) ↓ 4. Create KPIs (DAX Measures) ↓ 5. Design Visuals (Cards, Charts, Slicers) ↓ 6. Optimize Layout (User-Friendly Design) ↓ 7. Test & Validate ↓ 8. Publish to Power BI Service ↓ 9. Schedule Refresh & Share Dashboard ↓ 10. Collect Feedback & Improve

πŸ” Highlights & Tools Used


StepDescriptionTools Used
Define RequirementsWorked with stakeholders to identify 10+ core KPIsMeetings, Business Notes
Extract DataConnected to SQL Server and Excel source filesPower BI, Power Query
Clean & TransformHandled missing data, merged tables, created calculated columnsPower Query, DAX
Create KPIsBuilt DAX measures like Churn Rate, Avg Processing Time, and Fraud RateDAX Expressions
Design & VisualizeUsed cards, bar charts, slicers, and tooltips for clarityPower BI Desktop
Publish & SharePublished to Power BI Service with daily refreshPower BI Service
Feedback & IterationIncorporated stakeholder feedback, added drill-through and filtersPower BI, Stakeholder Reviews

πŸ“ Outcome:

  • Reduced manual report prep time by 80%

  • Improved fraud monitoring with real-time updates

  • Increased stakeholder engagement through interactive visuals

No comments:

Post a Comment

Python using AI

  Python using AI - Prompts & Codes Tools useful for Python + AI ChatGPT - https://chatgpt.com/ Claude AI - https://claude.ai/new ...