Consistent definitions
Document exactly how inventory, orders, service, forecast and fulfillment measures are calculated.
Custom reporting + data engineering
DataShip connects operational data across Fishbowl, commerce, EDI, warehouses and finance, then defines the logic, refresh process, ownership and exception handling behind each decision-ready report.
Senior ownership, reviewable evidence and a practical operating handoff.
Business outcomes
DataShip begins with the operating problem, establishes the source evidence and builds only the controls the team can own.
Document exactly how inventory, orders, service, forecast and fulfillment measures are calculated.
Replace repeated exports, copied formulas and fragile reporting steps with governed pipelines.
Trace a metric from the dashboard back through transformations to the source record.
Design reports around the action an operator, planner or executive needs to take.
Delivery path
The exact sequence follows the scope, but ownership, validation and operational adoption remain visible throughout.
Agree on questions, measures, grain, filters and data ownership.
Test completeness, consistency, history and reconciliation across sources.
Create pipelines, models, reports, validation and refresh monitoring.
Document logic, train owners and manage enhancement requests.
Questions buyers ask
Yes. Existing workbooks often contain valuable business logic; DataShip can document, validate and progressively engineer the fragile parts.
No. The deliverable may be Power BI, a custom application, scheduled output, operational queue or a governed dataset depending on the decision.
Yes. DataShip has delivered end-to-end report workflow diagnosis and restoration across an application, AWS Lambda, database JSON and storage.
Start with the problem
You do not need to know which platform, connector or project you need. Tell Benjamin what is breaking down, what your team is working around and what needs to improve. You will leave the first conversation with an honest view of the next step—even if DataShip is not the right fit.
Talk with Benjamin ↗