Data Consolidation Savings Calculator

AI gets blocked. Only 7% of enterprises call their data fully AI-ready (Cloudera and Harvard Business Review, 2026) and Gartner expects 60% of AI projects to be abandoned for lack of AI-ready data. Fragmentation is the root cause.

Talent walks. Strong engineers leave roles that are more than half maintenance, so every month of plumbing is a retention risk.

Your biggest lever is platform consolidation. Define one governed target architecture and migrate domain by domain, retiring redundant warehouses as you go.

Your biggest lever is BI license rationalization. Audit overlapping tools, decommission shelfware, and standardize on a single platform.

Focus first on the largest savings lever above, then sequence the rest into a phased consolidation.

Inventory every tool, platform and pipeline with its annual cost

This also unblocks AI, because the same fragmentation is why most AI initiatives stall before production.

It is a directional estimate built on conservative, published 2025 to 2026 benchmarks. The bankable lines (BI licenses, platform, integration) usually land within 15 to 20% of a full assessment because they come straight off contracts and cloud bills. Labor and data-quality lines are softer estimates and are shown separately for that reason.

What is the difference between bankable and productivity savings?

Bankable savings are spend that comes off your invoices when you consolidate overlapping tools and platforms, the figure a CFO can sign against. Productivity and risk value is reclaimed team capacity and reduced data-quality loss, real but harder to book. We split them so you can take the defensible number upstairs and treat the rest as upside.

No. Ranges are fine. The calculator provides sensible defaults for anything you are unsure of, and the result shows a likely range, not a single false-precision figure.

No. It models consolidation onto any single governed platform. Fabric is one path; the savings logic applies whether you standardize on Fabric, a modern warehouse, or another unified stack.

No. Your inputs are used only to generate your report and are stored in our own systems so we can follow up if you ask. We never sell or share them.

You see the full breakdown on screen, get a copy emailed to you, and can download a PDF to share internally. If you want the numbers validated against your real environment, you can book a free 30-day Analytics Truth Audit.

These are conservative, sourced estimates. Validate them against your real environment with a free 30-day Analytics Truth Audit: a full inventory of your data assets, metric-conflict analysis, and a 90-day roadmap.

Estimate annual savings from consolidating your BI tools, data warehouses, and pipelines onto one governed platform. Conservative, sourced 2026 benchmarks. Under 3 minutes.

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Set your environment and watch the estimate update live. It splits bankable cost reduction from reclaimed team capacity, built on conservative 2026 benchmarks.

Get the full breakdown, a 30/90-day plan, CFO talking points, and a downloadable PDF.

These are conservative, sourced estimates. Validate them against your real environment with a free 30-day Analytics Truth Audit, a full inventory of your data assets, metric-conflict analysis, and a 90-day roadmap.

Directional estimate built on conservative 2025 to 2026 benchmarks (Gartner, IDC, BLS, Microsoft). Bankable lines (licenses, platform, integration) typically land within 15 to 20% of a full assessment; labor and data-quality lines are softer estimates. Premium BI per-seat costs are list-price approximations for tools other than Tableau and Power BI. Not a quote.