Professional Services & Consulting

Bring analytics to client sites while respecting data boundaries.

Typical problems

Client data can’t be uploaded to third-party services.
Projects need quick, defensible baselines before deeper builds.
Hand-off requires simple, maintainable artifacts.

How DataWizardML helps

Portable install for on-prem engagements.
Repeatable steps to show method and justify decisions.
Exported jobs/services that clients can run without extra tooling.

Example use cases

Opportunity scoring, churn flags, forecasting baselines.
Audit-friendly data prep and evaluation for compliance teams.

Getting started

Install at the client site; connect to provided datasets.
Iterate quickly; document runs for reviews.