BI Replacement

PowerBI and Tableau Replacement for Healthcare: The Complete Transition

Assessment, gap analysis, migration plan, implementation, training, and ongoing support. Healthcare organizations replacing PowerBI or Tableau with a platform built for clinical data — not repurposed for it.

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$17,964Vizier Health System plan annual cost — vs. $150K–400K enterprise PowerBI
Why Organizations Are Switching Now

The Conditions That Make 2026 the Right Time to Switch

Microsoft Azure Capacity Pricing
Microsoft's shift to Azure capacity-based pricing for PowerBI Premium has made cost unpredictable for health systems with variable data volumes. Organizations that built on PowerBI when pricing was straightforward are now navigating capacity unit calculations and overage charges that weren't in the original budget.
Tableau's Salesforce Acquisition Complexity
The Salesforce acquisition of Tableau has introduced Salesforce-centric licensing models, CRM integration requirements, and product roadmap uncertainty for healthcare organizations that have no Salesforce relationship. If you're not a Salesforce customer, you're now an edge case for Tableau's enterprise roadmap.
Per-Seat Licensing Accumulation
Healthcare organizations grow. Quality programs expand. New staff need analytics access. Each addition to your Tableau or PowerBI license agreement increases your cost. Organizations that started with 10 creator licenses and 20 viewer licenses three years ago now have 25 creators and 80 viewers — and the contract has scaled accordingly.
IT Dependency Culture Has a Cost
The cost of IT-gated analytics isn't just the IT team's time — it's the clinical decisions that don't get made, the quality improvement that waits for a report, and the staff who stop asking because the turnaround isn't worth it. When analytics require a ticket queue, the analytical capability the organization paid for isn't being used.
The Business Case

Calculate Your Current Total Cost of Ownership

ENTERPRISE POWERBI — TYPICAL HEALTH SYSTEM
PowerBI Premium capacity units
$60,000–80,000/yr
Per-user licensing (Pro + Premium)
$15,000–25,000/yr
Azure hosting and compute
$18,000–36,000/yr
BI analyst headcount (partial)
$45,000–80,000/yr
IT configuration and maintenance
$20,000–40,000/yr
Lost opportunity cost (reports not run due to IT wait)
Unquantified
Year 1 total range
$158,000–261,000/yr
VIZIER — SAME ORGANIZATION
Vizier Health System plan (unlimited users)
$1,497/mo
Per-seat licensing
$0
Azure capacity or cloud compute
$0
BI analyst dependency
$0
API integration maintenance
$0
The Algorithm implementation and training
Included
Year 1 total
$17,964/yr

The comparison above doesn't include the opportunity cost of IT-mediated analytics — the clinical questions that don't get asked because the answer takes three weeks to arrive. That's harder to quantify but represents the largest real cost of the current model.

The Clinical Context Problem

DAX Formulas Don't Know What a MIPS Denominator Is

Building a MIPS composite score dashboard in PowerBI requires a BI analyst to write DAX formulas that correctly handle healthcare-specific logic: denominator identification from ICD-10 and CPT codes, numerator calculation with specific documentation requirements, exclusion criteria that vary by measure, inverse measure scoring, and benchmark comparison against CMS-published percentiles.

When the BI analyst building this doesn't have healthcare background — which is most BI analysts — the result is a dashboard that looks right but calculates wrong. A MIPS composite score that uses a simplified denominator produces a number that doesn't match what CMS will calculate. That miscalculation doesn't surface until the official feedback report arrives, after the performance year has closed.

Vizier's clinical data model is built around healthcare's actual data structures — ICD-10, CPT, NPI, HCPCS, and the quality measure specifications published by CMS and NCQA. The clinical context isn't layered on top; it's the foundation.

DAX formula for MIPS denominator
Requires ICD-10/CPT expertise most BI analysts don't have
Inverse measure display
Generic BI shows 2% as 'bad'; clinical context shows 2% as excellent for a readmission rate
Clinical exclusion logic
Measure-specific exclusions require healthcare knowledge — palliative care, hospice, diagnosis-specific exceptions
Benchmark comparison
CMS percentile comparisons require understanding of the national distribution, not just a number
Common Objections

The Objections We Hear — and the Honest Answers

"We've built 200 dashboards in PowerBI."
When we run a usage audit, the consistent finding is that 20–30 of those 200 dashboards are opened regularly. The other 170 were built for presentations, one-off requests, or exploratory projects that never became habits. We recreate the 20–30 that matter. The 170 nobody uses don't need to be recreated — their absence isn't a loss.
"Our IT team knows PowerBI."
Your IT team shouldn't be the bottleneck for clinical questions. When a quality director needs to know which diabetic patients haven't had an A1C in six months, that question shouldn't require an IT ticket, a three-week wait, and a spreadsheet that answers a slightly different question. Vizier removes IT from the critical path for clinical analytics.
"We need real-time data."
Vizier's scheduled refresh matches the refresh cadence of most EHR extracts anyway. If your EHR generates monthly reports, real-time analytics would be reading the same data — just faster. For the clinical decisions most practices need to make — care gap management, MIPS tracking, denial rate analysis — monthly data is the appropriate cadence. If you're running an ICU with truly real-time data needs, that's a different product category entirely.
"The implementation will disrupt our operations."
The migration runs in parallel. Both systems operate simultaneously until your team has confirmed that Vizier meets their needs. There's no forced cutover date, no hard deadline that creates pressure. You migrate when your team is ready, not when a vendor's implementation timeline demands it.
What You Get

A Complete BI Environment Transition

Full BI environment assessment: IT infrastructure, license audit, report inventory, data source mapping
License cost analysis: current total cost vs. Vizier annual cost with year-over-year projection
Migration roadmap with week-by-week implementation timeline
Implementation: data pipeline configuration, critical report recreation, validation
Role-based training for quality, clinical, revenue cycle, and administrative staff
60-day transition support: parallel running period, cutover coordination, license cancellation support

The BI environment assessment is where we define exactly what the replacement involves: which data sources need to be mapped, which reports need to be recreated, which staff need training, and what the migration timeline looks like given your organization's complexity.

Most organizations complete the full replacement in 6–8 weeks: one week for the audit, two to three weeks for migration, one to two weeks of parallel running, and cutover in month two. License cancellation and savings realization happen in month three.

The 60-day transition support is the period when you most need us available — during parallel running and immediately after cutover, when staff are encountering real use cases that weren't covered in training. We're present for that period, not just at implementation handoff.

How It Works

Audit, Migrate, Train, Cutover — Then Cancel the Old License

STEP 01
BI Environment Audit
We assess your current PowerBI or Tableau environment: license count and cost, report inventory with usage analysis, data source mapping, IT dependency patterns, and staff roles that use analytics. The audit produces a migration plan with effort estimates before any commitment.
STEP 02
Migration and Parallel Running
We migrate the critical reports, configure your data pipeline, and stand up Vizier alongside your existing system. Both systems run simultaneously — your team uses Vizier, confirms it meets their needs, and flags anything missing. Nothing gets turned off until your team is ready.
STEP 03
Training, Cutover, and License Cancellation
Role-based training for all staff. Coordinated cutover when your team gives the signal. Assistance with old license cancellation and documentation of savings. 60-day support period that extends through your first month of full operation on Vizier.
Timeline & Outcomes

What to Expect and When

The full replacement timeline is three months: one month to migrate and run in parallel, one month to train and cut over, and month three for license cancellation and savings realization. The two-to-six month implementation timelines organizations experienced with PowerBI or Tableau aren't repeated here.

Week 1
BI environment audit: license cost analysis, report inventory, data source mapping
Weeks 2–4
Migration: data pipeline setup, critical report recreation, Vizier configuration
Month 2
Training and cutover: role-based training, parallel running confirmation, cutover
Month 3
License cancellation, savings realization, ongoing Vizier support
$150K–400K
typical enterprise PowerBI Year 1 cost
$17,964
Vizier Health System plan — annual
21% → 80%+
adoption rate improvement after migration
6 mo → 2 wks
implementation time vs. current BI vendor
Related Services
Vizier vs PowerBI →Vizier vs Tableau →Why Generic BI Fails Healthcare →
Get Started

Start With a BI Environment Cost Analysis

Schedule a 30-minute consultation. Tell us your current BI setup — number of licenses, EHR system, how many people actually use analytics — and we'll calculate your current total cost and the Vizier alternative.