OPERATIONS

Managed Analytics

Right-sized operations to run and evolve your analytics stack with SLAs. Keep the lights on while shipping improvements each month.

What we operate

  • Data pipelines & quality monitoring — ETL maintenance, data validation, alerting
  • Dashboard maintenance & enhancement — Updates, performance optimization, user requests
  • Request intake & ad-hoc analysis — AI-enhanced analysis for faster insights
  • Monthly outcomes review & roadmap updates — Strategic planning and improvement prioritization
  • Platform maintenance & upgrades — Version management, security updates, cost optimization
  • User support & training — Help desk, documentation, best practices

Service Level Agreements

Critical issues: 4-hour response
Enhancement requests: Next sprint planning
Ad-hoc analysis: 48-hour turnaround
Monthly reviews: Scheduled stakeholder sessions

Engagement tiers

Core

Keep the lights on with SLAs

  • Pipeline monitoring & maintenance
  • Dashboard updates & bug fixes
  • Monthly health check & planning

Growth

Add roadmap delivery capacity

  • Everything in Core, plus:
  • New dashboard development
  • Feature enhancements
  • Advanced analytics projects

Plus

Add dedicated leadership time

  • Everything in Growth, plus:
  • Strategic planning sessions
  • Team mentoring & training
  • Platform evaluation & migration
Request a sample SOW

← Back to all services

How it works

Month 1

Assessment & Setup

  • • Current state documentation
  • • SLA definition & monitoring
  • • Request intake process
  • • First month roadmap

Ongoing

Operations & Improvements

  • • Daily monitoring & maintenance
  • • Weekly progress updates
  • • Sprint-based enhancements
  • • Proactive optimization

Monthly

Review & Planning

  • • Outcomes review with stakeholders
  • • Performance metrics analysis
  • • Next month roadmap
  • • Strategy adjustments

Perfect for organizations that...

  • Have analytics infrastructure but need ongoing maintenance
  • Want predictable costs and SLAs for analytics operations
  • Need capacity for both maintenance and new development
  • Prefer focusing on their core business, not analytics ops
  • Want strategic guidance alongside operational support

Common scenarios

Series A/B companies: Scale analytics without full-time hires

Health systems: Operational analytics for quality measures and reporting

Growing startups: Maintain momentum while building internal capabilities

Enterprise teams: Augment capacity during peak periods

Ready to outsource your analytics operations?

Let's discuss your current setup and create a managed services proposal that fits your stage and budget.

Get a custom SOW