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Rachel Muriuki
Rachel Muriuki

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Transforming Messy Data into Reliable Insights Using Power BI

How Analysts translate messy data, DAX and dashboards into action using Power BI

In every organization, data is being generated from sales transactions, website clicks, customer feedback. However this data is often inconsistent, incomplete and scattered across multiple systems. An analyst can turn this messy data into insights that drive business actions using Power BI.

1.Cleaning and Organizing Messy Data

Since data often arrives being messy, analysts perform a process known as ETL in Power Query. It consists of;
-Extracting data from multiple sources (Excel files, SQL databases)
-Transforming it through cleaning, structuring data, adding logic
-Loading it to Power BI for visualizing

2.Turning numbers into logic

Analysts use DAX(Data Analysis Expressions) to create calculations that turn raw numbers into meaningful insights
Example;

Customer Retention Rate

Using filters and time intelligence functions, analysts can calculate how many customers make repeat purchases

3.Designing dashboards that drive decisions

Dashboards are visual tools that show data in charts and graphs
A good dashboard:
-Highlights KPIs(Key Performance Indicators) which are the most important numbers
-Allows one to click on charts to see details by region, product or time
-Tells a story that guides the user to derive insights and make actions

4.From insight to actions

Creating visuals helps businesses take action.
How skills in Power BI translate into real impact:
-Data Cleaning-Improves accuracy of reports and decisions
-DAX Calculations-Quantifies performance, identifies trends and reveals root causes
-Interactive Dashboards-Helps leaders see trends and act fast
-Data modelling-Combines data from different departments into one view

5.Turning data into decisions

Analysts take messy data, organize it, calculate key metrics and build dashboards that show managers what's working and what's not.

Conclusion

Power BI is more than a reporting tool. It transforms data into insights that help organization measure results, understand key drivers and take informed actions.

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