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calculate Power BI Optimization ROI Calculator

Calculate the potential yearly time and cost savings from optimizing your Power BI semantic model performance

tune Configure Your Scenario

Number of Daily Users 1000
10 10,000

Total number of users accessing Power BI reports daily in your organization.

Pages Analyzed Daily (per user) 4
1 30

Average number of report pages each user views per day.

Load Time Improvement (seconds) 14
1s 60s

Expected reduction in page load time after optimization (e.g., from 20s to 6s = 14s improvement).

Average Hourly Rate ($) 40
$10 $200

Average hourly cost of your users' time (salary + benefits + overhead).

payments Calculated Yearly Savings

event
2,053
Hours Saved Yearly

Total time savings across all users and pages per year (264 working days)

account_balance_wallet
$102,667
Cost Savings Yearly

Monetary value of time savings based on hourly rates

analytics Calculation Breakdown

Monthly Hours = (1000 × 4 × 14) ÷ 3600 × 22 = 171.1 hours
Yearly Hours = 171.1 × 12 = 2,053 hours
Yearly Cost = 2,053 × $50 = $102,667

Monthly Formula: (Users × Pages × Improvement in seconds) ÷ 3600 seconds × 22 working days = Monthly hours saved.
Yearly Calculation: Monthly hours × 12 months = Yearly hours saved.
Cost Calculation: Yearly hours saved × Hourly rate = Yearly cost savings.

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