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Replace Domo with Strategy BI + Mosaic

Consolidate BI around Strategy Mosaic, the governed semantic foundation for analytics and AI readiness.

With Domo’s credit-based pricing and pending acquisition, long‑term analytics costs are more uncertain than ever.

Request MigrationCalculate your ROI

Why Strategy Mosaic?

Strategy Mosaic replaces Domo with a clearer path forward. Centralize trusted metrics, business logic, permissions, and AI context in one governed layer, then deliver consistent analytics across dashboards, reports, applications, and AI experiences.

Why enterprises are reassessing Domo

Unpredictable consumption-based costs

Domo’s consumption model ties adoption to credit usage, making expansion costs hard to predict.

Strategy Mosaic reduces this complexity by centralizing reusable business logic and governed metrics.

Long-term platform uncertainty

Domo’s pending acquisition increases uncertainty around pricing, roadmap, support, and long‑term investment.

Strategy Mosaic offers continuity and a clear path to innovation.

A phased migration before renewal gives your organization more control over timing, cost, and risk.

Fragmented business logic

When calculations are repeated across DataFlows, dashboards, spreadsheets, warehouse views, semantic layers, and AI prompts, inconsistencies multiply.

Mosaic centralizes governed metrics and definitions. Changes made once can be reused everywhere.

Broader BI simplification opportunity

Domo often sits alongside tools like Cognos, SAP BusinessObjects, Power BI, Tableau, Qlik, and departmental reporting solutions.

Replacing Domo with Strategy Mosaic can also drive BI consolidation—retiring low‑value content, reducing overlap, and simplifying administration around a more governed analytics stack.

STRATEGY MOSAIC BUSINESS IMPACT

These outcomes reflect operational gains reported by Strategy Mosaic customers, including lower warehouse compute costs from semantic-aware caching, less duplicated metric maintenance across tools, faster KPI delivery, and more reliable AI outputs grounded in governed business definitions.  

551%

Average ROI

$3.4M

Average net annual impact

22%

Fewer AI hallucinations

46%

End-user time reclaimed

44%

Fewer redundant metrics

Sources: UserEvidence ROI research across retail, telecom, and financial services customers, and CIO Dive Studio 2026 survey of 100 senior data leaders at organizations with $2B or more in revenue. 

Estimate the potential value of moving to Strategy Mosaic

Use the ROI calculator to assess the cost of your current Domo environment and identify where consolidation, reusable logic, and workload rationalization could create savings.

Step 1 — Company Size

What is your annual cloud data platform spend?

🏢

Starter

$100K–$1M / yr

✓

🏙️

Growth

$1M–$10M / yr

🌐

Enterprise

$10M–$50M / yr

Step 2 — Cloud Platform(s)

Select all platforms you use — then set the spend slider to your total combined spend.

✓
Snowflake

Snowflake

Databricks

Databricks

BigQuery

BigQuery

Azure Synapse

Azure Synapse

AWS Redshift

AWS Redshift

Other

Other

Step 3 — Cloud Spend

Total Cloud Platform Spend (all selected platforms)

Combined annual spend across your cloud data platforms

$5.0M

$1.0M$10M
Typical Growth company range: $1M–$10M. Default midpoint: $5M.
Year 1 Savings

Estimated Annual Savings

$1.3M

per year off your consumption bill

% of Bill Saved

26.1%

of total spend

Cloud Spend

$5.0M

across platforms

Queries Deflected

2.2M

per year from cache

Cost Per Query

$1.03

on consumption layer

Variable → Predictable Cost Model

Without Mosaic

Consumption

$1.9M

Cost model

Variable

Year 3

$2.9M

With Mosaic

Consumption

$572K

Cost model

Fixed layer

Year 3

$894K

Mosaic replaces unpredictable query-driven consumption with a fixed semantic layer — every new user, dashboard, or AI agent you add doesn't automatically drive up your cloud bill.

Before vs. After Mosaic

Annual consumption spend

$1.9M
→
$572K

Live queries hitting cloud

1.8M
→
554K

Cost per query

$1.03
→
$0.31
3-Year Cumulative Savings

Cloud spend growth rate:

15%
25%
35%

Year 1

$5.0M spend

$1.3M

Year 2

$6.3M spend

$1.6M

Year 3

$7.8M spend

$2.0M

3-Year Total Savings with Mosaic

As your cloud spend grows, so does what Mosaic saves you

$5.0M

Growth rates: Snowflake 27% YoY (Q3 FY26), Databricks 55% YoY (Series L), IDC 28% CAGR cloud data mgmt, Gartner 25–35% enterprise cloud data spend growth through 2027.

Query Distribution After Mosaic

Mosaic Cache (free)

70%

Live Cloud Queries (charged)

30%

“People don’t trust metrics unless it comes from Strategy.
It’s become the golden record.”

Senior Manager of Reporting and Insights · Fortune 500 omnichannel retail network · UserEvidence ROI Study, 2026 · Strategy Software customer

Strategy vs. Domo

Compare the platforms that will shape your next phase of analytics

Capability

Strategy

Domo

Cost model and predictability

Centralized, reusable business logic can reduce duplicated processing, maintenance, and overlapping analytics cost

Credit-based consumption can become harder to forecast as usage expands

Semantic modeling

Strong governed semantic layer for reusable metrics, relationships, hierarchies, permissions, and AI context

Weaker semantic modeling, with logic often distributed across DataFlows, Beast Modes, cards, and other assets

Analytics governance

Strong lifecycle controls, reusable definitions, lineage, permissions, and governed consumption

Governance capabilities are available, but business logic may remain distributed across multiple layers

Enterprise reporting and insight delivery

Strong support for governed analytics, enterprise reporting, dashboards, and broad insight delivery

Strong dashboarding and departmental analytics, but less suited to broad enterprise standardization

AI readiness

Governed business context supports consistent analytics, text-to-SQL, and AI experiences

Conversational and AI capabilities are available, but context may remain tied to Domo-specific logic and workloads

BI consolidation

Designed to centralize metrics and business logic while replacing or governing multiple analytics tools

Often operates as an additional BI platform rather than the final consolidation layer

Data preparation

Connects, structures, models, and governs data as part of the wider analytics architecture

Strong visual data preparation and DataFlow capabilities

Embedded analytics

Supports governed embedded experiences as part of an enterprise analytics strategy

Strong embedded analytics capabilities

What Strategy Delivers

Predictable value at scale

Move away from a model where every additional refresh, workflow, embed, or AI interaction can add cost and complexity.

Mosaic centralizes reusable logic so enterprises can reduce duplication, manage analytics more efficiently, and better understand the cost of delivering insight across the organization.

One trusted business layer

Define metrics, hierarchies, relationships, permissions, and business rules once.

Mosaic gives analytics teams, business users, applications, and AI systems access to the same governed meaning, reducing conflicts and improving trust.

Governed analytics and AI

AI systems need more than access to raw data. They need approved business context.

Mosaic provides governed semantic context for dashboards, reports, text-to-SQL, applications, and AI experiences, helping organizations reduce inconsistent answers and support stronger auditability.

A phased path to Domo replacement

Start with the most expensive, duplicated, or strategically important workloads.

Move authoritative logic first, then migrate priority dashboards, reports, embedded experiences, and AI use cases in waves. Rationalize low-use content rather than rebuilding everything.

    A Four-Stage Migration Path Beyond Domo

    Assess the current estate, design the target architecture, prove one production domain, then migrate and retire in controlled waves.

    01.png
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    Assess

    Workloads, logic, use, cost, dependencies, and renewal dates

    02.png
    network.png

    Data

    Target data, semantic, analytics, embedded, and AI architecture

    03.png
    shield-check.png

    Prove

    One production Mosaic domain and the priority user experiences

    04.png
    square-arrow-right-exit.png

    Migrate and retire

    Controlled waves tied to measurable contract reduction

    A successful Domo replacement should not begin with a one-for-one rebuild.

    It should begin with a clear inventory of:

    • High-cost workloads

    • Business-critical dashboards

    • DataFlows and Beast Modes

    • Embedded applications

    • Repeated metrics and calculations

    • Low-use or redundant assets

    • Adjacent BI platforms and renewal dates

    From there, Strategy can help you:

    1. Centralize authoritative metrics and business logic in Mosaic
    2. Prioritize the workloads that matter most
    3. Migrate dashboards, reports, embedded experiences, and AI use cases in phases
    4. Validate security, performance, and KPI consistency
    5. Retire Domo assets and reduce contract scope according to a defined timeline

    Migration support

    Get expert support to assess your Domo estate, identify migration priorities, quantify potential savings, and build a phased replacement plan aligned to your renewal timeline.

    Resource gallery

    Frequently Asked Questions

    Enterprises are reassessing Domo because its credit-based consumption model can make analytics costs harder to predict as usage grows. More data ingestion, refreshes, DataFlows, workflows, embedded analytics, storage, and AI activity can increase both Domo spend and related costs such as warehouse compute, cloud infrastructure, engineering, and reconciliation.

    Some organizations are also evaluating Domo because of uncertainty around future ownership, roadmap priorities, pricing, support, and investment continuity. Strategy Mosaic provides a phased path to replace Domo while centralizing governed metrics, business logic, permissions, and AI context.

    Strategy Mosaic is designed to serve as a governed semantic and business logic layer for enterprise analytics and AI. It centralizes metrics, relationships, hierarchies, permissions, lineage, and business definitions so they can be reused consistently across dashboards, reports, applications, and AI experiences.

    Domo is strong in visual data preparation and embedded analytics, but its business logic can become distributed across DataFlows, Beast Modes, cards, dashboards, and other assets. Strategy Mosaic is stronger in semantic modeling, analytics governance, enterprise insight delivery, and governed AI context.

    Strategy Mosaic can help reduce the broader cost of a Domo environment by centralizing reusable business logic and eliminating duplicated calculations across BI tools, data pipelines, dashboards, and AI applications.

    A complete Domo cost assessment should include more than credit consumption. It should also account for warehouse compute, cloud spend, storage, data movement, engineering, maintenance, reconciliation, AI token usage, and overlapping BI licenses. The recommended approach is to migrate the highest-cost and most duplicated workloads first, then reduce Domo contract scope before renewal.

    Yes. Strategy Mosaic supports a phased Domo replacement strategy rather than requiring a one-time migration of the entire environment.

    A typical migration begins by moving authoritative metrics, business rules, hierarchies, permissions, and AI context into Mosaic. Organizations can then migrate priority dashboards, enterprise reports, embedded experiences, and AI use cases in waves. Low-use and redundant assets can be retired instead of rebuilt, reducing migration effort and cost.

    Yes. Replacing Domo can also create an opportunity to simplify a wider BI environment.

    Many organizations run Domo alongside Cognos, SAP BusinessObjects, Power BI, Tableau, Qlik, and departmental reporting tools. Strategy Mosaic can centralize governed business logic across the enterprise while priority analytics experiences are moved to Strategy. This can reduce overlapping licenses, duplicated reports, conflicting metrics, administration, and support costs.

    Organizations should begin evaluating a Domo replacement well before renewal.

    Starting early provides time to identify high-cost workloads, map critical dependencies, validate replacement experiences, assess migration effort, and build a credible non-renewal option. Waiting until the final renewal window can reduce negotiating leverage and leave insufficient time to migrate mission-critical dashboards, logic, embedded analytics, and AI workloads.