✅ Step-by-Step Guide to Build Power BI Dashboards for KPIs
πΉ 1. Define Business Requirements
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Meet with stakeholders to understand which KPIs matter (e.g., fraud rate, loan approval time, customer churn).
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Clarify who the audience is (executives, managers, operations).
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Define the frequency (daily, weekly, monthly) and granularity (summary vs detailed).
πΉ 2. Extract Data
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Connect to data sources:
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SQL databases (e.g., MS SQL Server, Oracle)
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Excel/CSV files
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APIs (via Power BI Dataflows or Power Query Web connector)
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Load data using Power Query Editor
πΉ 3. Clean and Transform Data
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Remove nulls, handle data types, and rename columns for clarity
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Merge or append tables as needed (e.g., join
customers
,orders
, andtransactions
) -
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
πΉ 4. Create KPIs with DAX
Examples:
πΉ 5. Build Visuals
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Use appropriate charts:
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Cards for high-level KPIs
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Line charts for trends over time
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Bar charts for category comparisons
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Maps for regional performance
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Use slicers and filters for interactivity
πΉ 6. Design for Clarity
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Group visuals by theme (e.g., “Customer KPIs”, “Fraud Analysis”)
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Use consistent colors and formatting
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Apply bookmarks for navigation if multi-page
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Optimize layout for readability
πΉ 7. Test and Validate
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Cross-check KPI calculations with raw data or Excel validation
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Ask business users to review before publishing
πΉ 8. Publish and Share
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Publish to Power BI Service
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Set up scheduled refresh (e.g., daily at 7 AM)
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Share with stakeholders via Power BI workspace or embed in Teams/SharePoint
πΉ 9. Monitor and Improve
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Collect feedback from stakeholders
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Track dashboard usage in Power BI service
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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.
π§© Project Steps Overview (Flowchart Style)
π Highlights & Tools Used
Step | Description | Tools Used |
---|---|---|
Define Requirements | Worked with stakeholders to identify 10+ core KPIs | Meetings, Business Notes |
Extract Data | Connected to SQL Server and Excel source files | Power BI, Power Query |
Clean & Transform | Handled missing data, merged tables, created calculated columns | Power Query, DAX |
Create KPIs | Built DAX measures like Churn Rate, Avg Processing Time, and Fraud Rate | DAX Expressions |
Design & Visualize | Used cards, bar charts, slicers, and tooltips for clarity | Power BI Desktop |
Publish & Share | Published to Power BI Service with daily refresh | Power BI Service |
Feedback & Iteration | Incorporated stakeholder feedback, added drill-through and filters | Power BI, Stakeholder Reviews |
π Outcome:
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Reduced manual report prep time by 80%
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Improved fraud monitoring with real-time updates
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Increased stakeholder engagement through interactive visuals
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