All data is securely ingested into the Data Moose Centralized Data Platform, a SQL-based data warehouse designed for analytics, reporting, and AI readiness.

Once ingested, data is:

• Standardized across systems

• Deduplicated and harmonized

• Modeled into reporting-ready structures

• Governed with role-based access controls

From there, the data feeds dashboards, reports, analytics tools, and AI use cases.

Very little.

Most organizations need:

• A technical or admin contact for access approvals

• A reporting stakeholder for validation

• Periodic check-ins during onboarding

We handle the heavy lifting — ingestion, modeling, validation, and optimization.

Yes — this is one of the most common reasons customers come to us.

We don’t avoid platforms; we avoid poor data hygiene without governance. Even heavily customized or inconsistent systems can be integrated, though they may require additional modeling during implementation.

Our platform is built to:

• Resolve duplicates

• Normalize inconsistent fields

• Align conflicting data definitions

• Create consistency across departments

Your team does.

Data Moose creates the infrastructure, but reporting ownership stays with your organization. We enable teams to:

• Answer questions without new exports

• Trust the numbers across departments

• Build dashboards once — not repeatedly

We also support ongoing optimization as needs evolve.

Common discovery questions we explore include:

• How many data sources need to be unified?

• What reporting tools are used today?

• Who currently owns reporting and analytics?

• What decisions are hard to answer with current data?

• Are AI or automation initiatives planned in the next 12–24 months?

These conversations help ensure Data Moose is positioned as foundational infrastructure, not just a short-term integration.