Engagement Model

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The Hive Model gives mid-market companies a dedicated analytics team — data engineers, analysts, and AI specialists — without the overhead of building one in-house.

Building an analytics team is expensive, slow, and risky.

The average enterprise data hire takes 4 months to fill, costs $180K+ fully loaded, and still needs 6 months to ramp. Meanwhile, your competitors are already shipping dashboards, training models, and making decisions with data you haven't unlocked yet.

Three tiers. One mission: outcomes.

Every tier includes Oyster platform access, a dedicated team, and measurable business outcomes.

Essential Tier

Starting Strong

Team: Fractional Analyst + Shared Data Engineer

• Dedicated fractional analyst
• Shared data engineering
• Monthly reporting cadence
• Oyster dashboard access
• Email support

Growth Tier

The Sweet Spot

Team: Hive Lead + Data Engineer + Data Analyst

• Dedicated Hive Lead
• Full-time Data Engineer
• Full-time Data Analyst
• Weekly sprint cadence
• Oyster full platform access
• Growth Credits included
• Priority Slack support
• Quarterly business reviews

Enterprise Tier

Full Capability

Team: Dedicated Hive with AI/ML Specialist

• Dedicated Hive team
• AI/ML Specialist included
• Custom sprint cadence
• Oyster enterprise suite
• Unlimited Growth Credits
• 24/7 dedicated support
• Executive steering committee
• SOC 2 & governance controls
• Custom SLAs

Feature matrix

Growth Credits: outcome-based capacity

Instead of buying hours, you invest in outcomes. Growth Credits are the currency of your Hive — allocate them across any pillar, any project, any priority.

• Rollover unused credits month to month
• Transparent burn rate tracked in Oyster
• Allocate across Data, AI, Decisions, or Marketing pillars
• Credits scale with tier — upgrade anytime

Monthly credit allocation

• Data Foundations 35%
• AI Orchestration 25%
• Decision Enablement 25%
• Marketing Intel 15%

Three steps to outcomes

01

Subscribe

Choose your tier. No long-term contracts. Scale up or down month to month as your needs evolve.

02

Receive Credits

Your Growth Credits pool refreshes each month. Allocate them across any pillar — data, AI, decisions, marketing.

03

Deploy Outcomes

Your Hive team delivers production-ready dashboards, models, and pipelines. Track ROI in real-time via Oyster.

Common questions

How do mid-market companies scale analytics without enterprise budgets?

With the EA Hive Model, mid-market companies subscribe to a dedicated team of data, analytics, and AI experts—getting enterprise-grade capabilities at a fraction of the cost of building an in-house team. Growth Credits provide flexible, outcome-based capacity that scales with your needs.

What are agentic AI workflows and how can they automate our operations?

Agentic AI workflows are autonomous AI systems that can plan, execute, and adapt multi-step tasks with minimal human intervention. EA deploys these with governance built-in, helping you automate complex processes like marketing optimization, data pipeline management, and predictive analytics.

What data architecture is best for analytics, marketing, and AI?

The EA Intelligence Framework provides a progressive architecture: starting with a solid Data Foundation, establishing Data Trust through governance, then layering AI Orchestration, Decision Enablement, and Marketing Intelligence. Each pillar builds on the last for a comprehensive, AI-ready data platform.

Ready to Turn Your Data Into Confident Decisions?

See how we unify your data, identify growth drivers, and deliver measurable impact.