Dedup Savings Tool

Calculates potential savings from data deduplication for data engineers and storage planners, enabling scenario comparisons to optimize storage and compute budgets.

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About This Tool

The Dedup Savings Tool estimates the storage and compute cost impact of data deduplication for large datasets. It targets data engineers, storage architects, and IT cost managers who compare dedup strategies across cloud and on premises deployments.
It computes the post dedup data volume from input dataset size and dedup ratio, then applies per GB costs for storage and compute to derive annual and horizon savings. Outputs include post_dedup_size_gb, annual_cost_before_usd, annual_cost_after_usd, and ROI_percent, enabling clear budgeting and governance decisions.
The tool supports scenario comparison by allowing multiple input sets and horizon choices, with optional advanced parameters such to tiered storage uplift and compression uplift. It is designed for repeatable analyses in budgeting cycles, migrations, or optimization reviews.
Users can export results to reports and dashboards for cross functional review, vendor negotiations, and capacity planning.

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How to Use

Provide inputs: dataset_size_gb, dedup_ratio_pct, storage_cost_per_gb_per_year_usd, compute_cost_per_gb_per_year_usd, retention_years.
Optionally configure advanced parameters: tiered_storage_uplift_pct, compression_uplift_pct.
Set analysis horizon in years.
Run calculation to obtain post_dedup_size_gb, savings, ROI and payback.
Review results and export to your reporting format.

Frequently Asked Questions

Find Quick Answers

What does the dedup ratio represent?

Dedup ratio represents the portion of data eliminated by deduplication as a percentage of the original dataset size. A higher ratio means greater reduction in stored data and potentially larger cost savings, assuming costs scale with data volume.

How is ROI calculated in this tool?

ROI is computed as total savings over the analysis horizon divided by the total costs invested in implementing deduplication, expressed as a percentage. It reflects the profitability of the deduplication effort over time.

Can I compare multiple scenarios?

Yes. You can define several input sets with different dedup ratios, costs, and retention choices, and compare the resulting post dedup sizes, savings, ROI, and payback across scenarios.

What data inputs are required?

Required inputs include dataset_size_gb, dedup_ratio_pct, storage_cost_per_gb_per_year_usd, compute_cost_per_gb_per_year_usd, and retention_years. Optional inputs adjust for tiering and compression uplifts to refine results.

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