Managed Analytics and BI as a Service

Keep Your Analytics and AI Environment Running at Full Speed

Managed analytics keeps your analytics and AI environment running once it is built. Blue Mantis operates the platform, monitors and supports the pipelines, delivers business intelligence as a managed service, and runs model and AI operations so dashboards stay accurate and models keep performing.

What Blue Mantis Delivers in Managed Analytics and BI as a Service

Blue Mantis helps organizations keep data, analytics, and AI environments stable, reliable, and continuously improving through proactive platform operations, pipeline support, BI delivery, and model lifecycle management.




Platform Operations

Blue Mantis keeps data platforms stable, secure, and performant through proactive administration, monitoring, and optimization.

What Blue Mantis covers

  • Capacity and performance monitoring: Tracks platform health, resource utilization, and performance trends to help prevent issues before they affect users.
  • Access management and operational governance: Maintains appropriate access controls, ownership, and operating standards across the platform.
  • Cost and usage monitoring with guardrails: Provides visibility into consumption and helps control spend as data usage grows.
  • Release management and change control: Brings structure to updates, deployments, and changes so the platform remains reliable.
  • Platform health reporting: Delivers a clear view of performance, risks, priorities, and operational status.

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OperationsPerformanceCostGovernance

Pipeline Monitoring & Support

Blue Mantis operates ingestion and transformation pipelines with monitoring, alerting, and incident response so data remains reliable and available.

What Blue Mantis covers

  • Monitoring and alerting patterns: Establishes proactive visibility into pipeline health, failures, delays, and data quality issues.
  • Error handling and retry management: Implements structured recovery patterns that reduce manual intervention and minimize disruption.
  • Root cause analysis and remediation: Identifies recurring issues and applies fixes that improve long-term pipeline reliability.
  • SLA-based support options: Provides defined response expectations and support coverage based on operational needs.
  • Runbooks and documentation: Creates clear operational guidance so teams can manage, troubleshoot, and support pipelines consistently.

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PipelinesMonitoringSupportSLAs

BI as a Service

Blue Mantis delivers and maintains dashboards, reporting, and semantic models as ongoing service capacity aligned to changing business priorities.

What Blue Mantis covers

  • Backlog intake and prioritization: Organizes reporting requests and focuses delivery on the work with the greatest business value.
  • Dashboard updates and new delivery: Maintains existing dashboards while delivering new reporting experiences as needs evolve.
  • Semantic model adjustments: Updates measures, definitions, and model logic to keep reporting consistent and reliable.
  • User support for reporting questions: Helps users understand metrics, navigate reports, and use insights with confidence.
  • Release notes and communication: Keeps stakeholders informed about reporting updates, enhancements, and changes that affect their work.

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BI ServiceDashboardsSemantic ModelBacklog

Model & AI Ops

Blue Mantis maintains stable AI and predictive assets with monitoring and lifecycle support that helps keep production systems reliable over time.

What Blue Mantis covers

  • Model monitoring approach: Establishes visibility into model behavior, output quality, and operational health.
  • Retraining coordination: Defines when models should be reviewed, refreshed, or retrained as data and business conditions change.
  • Performance drift checks: Identifies when model accuracy, relevance, or output quality begins to decline.
  • Versioning and release management: Brings structure to model updates, approvals, deployments, and rollback planning.
  • Operational KPIs for AI systems: Tracks reliability, usage, performance, and business value across production AI capabilities.

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MLOpsMonitoringLifecycleReliability

What happens at each step

How Managed Analytics Works

Step 1



Stabilize and Baseline

Blue Mantis confirms monitoring coverage and runbooks, then establishes operational KPIs and a clear reporting cadence.

Step 2



Operate and Respond

Blue Mantis monitors pipelines and platform health, then resolves incidents using documented response patterns.

Step 3



Deliver Enhancements

Blue Mantis manages the BI backlog and releases while continuously optimizing platform performance and cost.

Step 4



Maintain Trust

Blue Mantis validates changes, prevents metric drift, and ensures governance guardrails remain in place.

Step 5



Scale as Needs Grow

Blue Mantis onboards new sources and use cases with established patterns, extending to model and AI operations as needed.

Why Blue Mantis?

One Program. One Owner. End to End.

Supportable by Design

We operate what we build with monitoring, alerting, and documented runbooks from day one, keeping systems reliable and accountable.

Continuity and Governance

Operational ownership prevents metric drift, preserves trust in the numbers, and keeps analytics reliable as business needs change.

Flexible Capacity

BI delivery and enhancements scale with business demand, providing the right capacity for priorities, projects, and changing needs.

Full Lifecycle Partner

Assess, modernize, and manage your analytics environment to keep systems evolving, trusted, and delivering long-term business value.

Frequently Asked Questions

BI as a Service is ongoing delivery capacity for dashboards, reporting, and semantic models, aligned to changing business priorities. Blue Mantis takes reporting requests into a managed backlog, prioritizes the work with the greatest business value, and delivers dashboard updates alongside new reporting. Semantic model adjustments keep measures consistent, and release notes tell stakeholders what changed.

Managed Analytics includes platform operations, pipeline monitoring and support, BI delivery, and model lifecycle management. Blue Mantis monitors capacity, performance, cost, and access, operates ingestion and transformation pipelines with alerting and incident response, and maintains dashboards and semantic models through a prioritized backlog. Model monitoring, drift checks, and retraining coordination are available for selected use cases.

Blue Mantis maintains them through BI as a Service. Existing dashboards are updated as priorities change, new reporting is delivered from a prioritized backlog, and semantic model measures and logic are adjusted so numbers stay consistent. Users can bring reporting questions for support, and release notes keep stakeholders informed about changes that affect their work.

Blue Mantis uses monitoring and alerting patterns, along with documented incident runbooks, to identify and resolve issues quickly. Support levels can include SLAs based on operational needs. Error handling and retry management reduce manual intervention, and root cause analysis is applied to recurring problems so the same failures stop returning over time.

This is outcome-based operational ownership with documented processes, monitoring, and continuous improvement, not simply additional people assigned to a ticket queue. Blue Mantis establishes operational KPIs and a reporting cadence, resolves incidents using documented response patterns, and validates changes so metrics do not drift. New sources and use cases are onboarded using established patterns.

Keep Analytics and AI Running Reliably

Reduce operational load with a Managed Analytics plan tailored to your platform, pipelines, reporting, and AI support needs.