PowerBI, Tableau, and similar BI tools are powerful, but they can be expensive and slow when working with large or complex data. Licensing costs, refresh times, and limitations on data volumes can quickly add up.
- Workarounds: Pre-aggregating, pre-cleaning, and pre-calculating data outside the BI tool can dramatically improve performance and reduce costs.
- Real results: I’ve taken PowerBI refreshes that used to take hours and reduced them to seconds by optimizing data before it reaches the dashboard.
- Save money: Reduce your dependency on expensive BI licenses and cloud compute by preparing your data efficiently.
Cost Savings:
Microsoft and other BI vendors often charge thousands of dollars for larger instance sizes and premium features. But with smart data engineering—pre-processing, aggregating, and cleaning your data outside of PowerBI or Tableau—you can achieve the same results for a fraction of the cost.
Instead of scaling up your BI platform, let us show you how to optimize your data pipeline. You get faster refreshes, lower costs, and more flexibility—without paying for expensive licenses or cloud resources you don’t need.
Get faster dashboards and lower costs—ask us how!
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