Pricing & Engagements

Clear packages. Flexible enough for real projects.

These packages are designed to give executives a concrete starting point — with defined timelines, deliverables, and investment levels. Every engagement can be tailored based on scope, complexity, and your internal team's capacity.


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Data & Analytics Consulting

For teams that need a solid analytics foundation — from clean data to AI-assisted insights.

Essential Package

$8,000

Timeline: 4–8 weeks

Ideal for: Companies starting their analytics journey.

Deliverables

  • Consolidate & combine multiple data sources (up to 2).
  • Integrate 1 Power BI dashboard.
  • Create a unified data model (up to 2 data sources).
  • Configure a dedicated Power BI workspace.

Final pricing depends on confirmed scope, data complexity, and integration requirements.

Professional Package

$12,000

Timeline: 8–12 weeks

Ideal for: Organizations needing dashboards & insights.

Deliverables

  • Build 1 automated ETL pipeline.
  • Integrate up to 4 dashboards.
  • Build KPI-driven reports for leadership.
  • 1 week of post-implementation support.
  • User onboarding & training.

Final pricing depends on confirmed scope, data complexity, and integration requirements.

Enterprise Package

Starting at $18,000

Timeline: 12–20 weeks

Ideal for: Businesses wanting AI, automation, and predictive analytics at scale.

Deliverables

  • AI/ML workflows for up to 3 key use cases.
  • Integration of up to 5 data sources.
  • Advanced analytics framework & governance.
  • Training & documentation for teams.
  • 1 month of implementation support.

Final pricing depends on confirmed scope, data complexity, and integration requirements.

Let's talk

Not sure which service or tier fits your team best?

Share a bit about your data, tools, and goals — we’ll recommend a starting point and shape a proposal around your priorities and budget.

Email Liberty Edge

Typical conversations include:

  • “We have data, but no clear story or metrics that leaders trust.”
  • “Our reporting and processes don't scale as fast as the business.”
  • “We're not sure where to start with AI, automation, or analytics.”
  • “We need a roadmap that balances quick wins with long-term foundations.”