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Power BI 10 Slides

Stop Repeating Your Data Work.

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Guide Notes & Explanation

Accompanying breakdown for this slide deck

  • Stop Repeating Your Data Work.

What Are Dataflows?

  • A Power BI feature for data preparation.
  • Lets you build reusable data transformations.
  • Centralizes your ETL (Extract, Transform, Load) logic.
  • Creates a single source of cleansed data.
  • Dataflows are built and managed in the Power BI service.
  • Think of them as a shared data kitchen.

The Repeating Problem

  • Same data prep is often done for multiple reports.
  • This wastes valuable time and effort.
  • Leads to inconsistencies in calculations and definitions.
  • Makes it hard to maintain and update logic.
  • One change requires updating many reports.
  • Creates a fragmented and messy data landscape.

How Dataflows Help

  • Build your transformation logic just once.
  • Any report can then use this prepared data.
  • Ensures everyone uses the same definitions.
  • Simplifies report development significantly.
  • Makes maintenance and updates much easier.
  • Creates a single source of truth for data.

Key Benefits

  • Saves significant time and development effort.
  • Improves data consistency and accuracy across reports.
  • Empowers self-service for business users.
  • Simplifies data governance and management.
  • Faster to build new reports on trusted data.
  • Reduces load on source systems.

Building a Dataflow

  • Connect to your original data source.
  • Apply necessary transformations and cleansing steps.
  • Define computed columns and new measures.
  • Create relationships between different entities.
  • Schedule a refresh to keep data current.
  • Publish it to your Power BI workspace.

Connecting Your Reports

  • From Power BI Desktop, get data from Power BI.
  • Select the published dataflow as your source.
  • Choose the specific entities you need.
  • The data is imported, already transformed and ready.
  • Build your reports on this consistent foundation.
  • No more starting from raw, messy data.

Ideal Use Cases

  • Standardizing fiscal periods and date tables.
  • Combining data from multiple source systems.
  • Applying complex business logic and rules.
  • Cleansing customer or product information.
  • Creating certified, gold-standard datasets.
  • When many reports need the same base data.

Get Started Today

  • Identify a common transformation you repeat often.
  • Open the Power BI service in your browser.
  • Create a new dataflow in your workspace.
  • Connect to a data source and build your ETL.
  • Publish and share with your team.
  • Start building smarter, more consistent reports.