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Data Analytics & Insights Suite pricing

Data Analytics & Insights Suite

Choose a tier, compare scope, then configure the plan for your rollout.

Data Analytics & Insights Suite gives teams a suite pricing path within Data Analytics & Insights Suite, with tiers that support first adoption, operational rollout and governed enterprise scale.

Data and business teams reviewing analytics, resilience and recovery evidence.
Data Analytics & Insights Suite starts with people trying to make the right call. A bad import or system change has corrupted business records.

Plan fit

Understand the commercial shape before choosing a tier

Data Analytics & Insights Suite gives teams a suite pricing path within Data Analytics & Insights Suite, with tiers that support first adoption, operational rollout and governed enterprise scale.

Flexible pricing

Choose your plan

Select a starting tier and configure users, billing and commercial details on the quote page.

Starter

Core capability, lower limits, standard automation and standard support.

$39
analytics user/month

What's included:

  • Reporting
  • Dashboards

Usage limits:

UsersUp to 25
StorageStandard
IntegrationsStandard connectors
SupportStandard support

Plan details:

Base package1 user included
Base amount$39/month
Additional user$39 per user/month
Payment termsMonthly prepaid
Billing modelanalytics user/month
RolloutAvailable as part of a phased rollout
Configure plan

Enterprise

Advanced governance, AI agents where applicable, enterprise controls, custom integrations, service target and dedicated support.

$129
analytics user/month

What's included:

  • Reporting
  • Dashboards
  • Data Visualization
  • Business Intelligence
  • Data Discovery

Usage limits:

UsersUnlimited / contracted
StorageEnterprise allocation
IntegrationsPremium and custom connectors
SupportDedicated enterprise support + service target

Plan details:

Base package15 users included
Base amount$1,935/month
Additional user$129 per user/month
Payment termsMonthly prepaid
Billing modelanalytics user/month
RolloutAvailable as part of a phased rollout
Configure plan
Data and business teams reviewing analytics, resilience and recovery evidence.
Where Data Analytics & Insights Suite becomes real work people can trust. Data, analytics and resilience work connecting business decisions to governed evidence.

Compare plans

Compare Plans

Detailed scope comparison to help you choose the right plan.

Capability StarterBusinessEnterprise
Commercial scope
Monthly price $39$129
Annual prepaid equivalent $34/mo equiv.$110/mo equiv.
Billing basis analytics user/monthanalytics user/month
Base included 1 user included15 users included
Included apps 25
User scale Up to 25Unlimited / contracted
Storage StandardEnterprise allocation
Integrations Standard connectorsPremium and custom connectors
Support Standard supportDedicated enterprise support + service target
Billing options annual-prepaid, monthly-prepaidannual-prepaid, monthly-prepaid
Recommended NoNo

Included apps

Apps in this Suite

The plan is composed from Advanze product capabilities, so teams can adopt a focused plan without creating another silo.

Reporting

Included capability in this suite.

Dashboards

Included capability in this suite.

Data Visualization

Included capability in this suite.

Business Intelligence

Included capability in this suite.

Data Discovery

Included capability in this suite.

Related products

Explore related pricing paths

Compare adjacent products and suites in the same pricing group.

Why this pricing path matters

Data Analytics & Insights Suite pricing should be understood through the work it helps govern.

A bad import or system change has corrupted business records.

What makes it harder in the real world: Data correction requires evidence, impact analysis, ownership, approval, rollback choice, downstream notification and audit trail. A fast fix without traceability can make the incident worse.

What Advanze changes: Detect bad data, classify impact, identify the source, route approval and restore or correct records with auditable point-in-time recovery.

Data Quality AgentDetects anomaly, schema drift, duplicates or invalid values.
Impact AgentIdentifies affected tables, records, processes, customers and downstream systems.
Recovery AgentProposes record-level, table-level or full restore options based on snapshots and change logs.
Data OwnerApproves correction or restore decision.
Notification AgentDrafts stakeholder updates and creates downstream reconciliation tasks.
Challenge

Data correction requires evidence, impact analysis, ownership, approval, rollback choice, downstream notification and audit trail. A fast fix without traceability can make the incident worse.

Orchestration

Detect bad data, classify impact, identify the source, route approval and restore or correct records with auditable point-in-time recovery.

Success

Detect bad data, classify impact, identify the source, route approval and restore or correct records with auditable point-in-time recovery.

Data and business teams reviewing analytics, resilience and recovery evidence.
Data confidence 15Data, analytics and resilience work connecting business decisions to governed evidence.
Data and business teams reviewing analytics, resilience and recovery evidence.
Data confidence 16Data, analytics and resilience work connecting business decisions to governed evidence.
Data and business teams reviewing analytics, resilience and recovery evidence.
Data confidence 17Data, analytics and resilience work connecting business decisions to governed evidence.

Control model

Useful AI execution needs pricing, permissions and governance to move together.

That is why pricing has to connect to the operating model: the number of users is only one part of the cost; the real value comes from governed execution, reusable controls and agent work that can safely scale.

  • Data correction requires evidence, impact analysis, ownership, approval, rollback choice, downstream notification and audit trail. A fast fix without traceability can make the incident worse.
  • The right agent must receive the right context, tools, permissions and approval path before work moves forward.
  • Audit evidence, exception handling and human judgement need to be part of the workflow, not notes added after the fact.
Data and business teams reviewing analytics, resilience and recovery evidence.
The outcome is not just automation. It is confidence in what happens next. When Data Analytics & Insights Suite runs inside a governed execution model, teams can move faster without losing judgement, accountability or trust.

Next step

Review another pricing path or involve sales

Go back to pricing categories when you want to compare alternatives, or contact sales to combine this plan with other suites, services and enterprise controls.