Reporting data files
CSV, JSON and fact-and-dimension outputs using stable names appropriate to the selected source and reporting view.
BI-ready data export
Datplan turns supported source pulls into stable reporting files with documented grains and safe relationship guidance. Keep personal dashboards in Datplan, or write the prepared BI data to a local or Windows-accessible shared location for use by an authorised Power BI, Tableau or Qlik team.
Package contents
CSV, JSON and fact-and-dimension outputs using stable names appropriate to the selected source and reporting view.
A machine-readable description of tables, fields, grains and validated relationship guidance.
A Qlik load script to support the initial file-loading workflow.
Plain-language notes for folder choice, model setup, relationships and refresh safety.
Basic reporting view
Use Basic when you want a smaller set of reporting tables focused on the main finance, CRM or discovery questions. It reduces model clutter and is the clearer starting point for most reports.
Advanced reporting view
Use Advanced when you need the full transformed dataset and understand the consequences of additional joins, bridge tables, row grains and relationship paths.
Shared and team access
Datplan dashboards are local working views. The ETL output can be written to a shared location so a wider team can use its existing BI platform without moving the source extraction into a Datplan-hosted warehouse.
Choose a Windows-accessible export folder such as a synced OneDrive or SharePoint document library or a network share. Keep the Datplan file names and folder structure stable, then configure Power BI, Tableau or Qlik to read those files using the organisation's own access and refresh controls.
If a client grants access to its SharePoint, OneDrive or shared network location, a consultant can select that accessible location as the Datplan export destination. The client keeps control of the storage and BI permissions while receiving refreshed, modelled source files for its own reporting environment.
Datplan includes only relationships it can validate safely and avoids recommendations that would introduce circular or parallel ambiguous paths. A missing automatic relationship is an instruction to review the model—not an invitation to connect every matching ID.
BI export questions
It includes prepared data files, a datplan-semantic-model.json description, a datplan-qlik-load.qvs script and README-BI.txt setup notes. Exact tables depend on the source and selected reporting view.
Basic focuses on curated key business areas. Advanced includes all transformed tables for users who need more detailed modelling control.
No. It does not generate a finished .pbit, .pbix, .tds or .tdsx file. The first model and report setup remains manual.
BI queries usually refer to a path and file name. Keeping both stable lets a later Datplan export replace the data that the existing query expects.
Yes. Choose a Windows-accessible shared export location that your organisation controls, such as a synced OneDrive or SharePoint library or a network share. Authorised users can then use the prepared files from Power BI, Tableau or Qlik according to that platform's supported connection, permissions and refresh setup. Access, permissions and publishing remain controlled by the chosen storage and BI platform.
The Windows app is free to download and includes Datplan Demo data, so you can test sync, dashboards, reporting grains and exports first.