Power BI is a 3 step journey:
Messy data->meaningful calculations->clear visuals->smart decisions
Step 1:Translating messy data
First use power query to:
- remove duplicates
- Rename columns
- Fix data types(dates, numbers, texts)
- Slit or merge columns
- Filter out invalid rows Power Query is about preparing data.This cleans data turning it to trustworthy insights.
Step 2:Turning data into meaning(DAX)
DAX is how you ask business questions in Power BI. It's purpose is to turn raw numbers into insights.
For example:
- What is the total sales?
- Which product performs best?
- What is the percentage growth rate? ### Common DAX ideas
- Measures- total sales, profit margin, average profit
- Time intelligence- month-to-date, year-over-year growth
Always ask, what decision will this number support?
Step 3: Building Dashboards that tell a story
A good dashboard answers these questions:
- What is happening?
- Why is it happening?
- What should we do next?
key dashboard elements
- KPIs(cards): sales, revenue, ratings
- Trends: line charts(growth over time)
- Comparisons: Bar charts(products, regions)
- Filters(slicers): Date, category, location Pro tip; ** Have clear titles,focus on action and not decoration.
Turning dashboards into action
If the dashboard shows;
- Sales dropped
- Ratings went down
- Discount increased Action to be taken will involve;
- Review discount strategy
- Increase product quality
- Target high performing regions
In summary, Power Bi is not about charts but how you turn messy data into decisions.
- Power Query- Prepare the truth
- DAX -Explain the truth
- Dashboards- Communicate the truth
- Action- Business value
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