Build a Single Source Dataset From Multiple Excel Sheets Before Report Generation
Every report is only as good as its source data — and source data for business reports almost always lives across multiple Excel files and worksheets. Before a report can be built, those sheets need to be consolidated into a single flat dataset. Deliteful's Excel Combine Sheets tool makes that pre-report consolidation step fast, automatic, and auditable.
Report builders — whether using Excel pivot tables, Power BI, Tableau, or a Python reporting script — all need the same thing before they can start: one clean table with all the data. When source data arrives as 10 separate monthly workbooks, each with multiple tabs and slightly different column layouts, the consolidation step can take longer than building the report itself. This is especially painful for recurring reports where the same consolidation has to happen every period.
Deliteful outputs a single combined worksheet with the column union across all uploaded files and sheets. Optional source-tracking columns let report builders retain data lineage without maintaining separate lookup tables. For recurring reports, the workflow is consistent: drop in the new period's files, download the combined sheet, load into your reporting tool. No schema mapping required as long as source column names are stable.
How it works
- 1
Collect source data files
Gather all .xlsx or .xls exports that feed into the report — by period, department, region, or data source.
- 2
Upload all files in one job
Drop everything into Deliteful at once; all sheets across all workbooks are combined together.
- 3
Add provenance columns
Enable 'Include source file name' and/or 'Include sheet name' to retain data lineage for report footnotes or audit trails.
- 4
Load into your reporting tool
Import the combined sheet into Excel, Power BI, Tableau, or your reporting script as the single source table.
Frequently asked questions
- Can I use the combined sheet directly as a data source in Power BI or Tableau?
- Yes. The output is a standard single-sheet .xlsx file that both Power BI and Tableau can connect to as a flat file data source. It's also suitable as a pandas DataFrame source for Python-based reporting.
- How does the tool handle new columns that appear in the latest period's file?
- New columns are automatically included in the output schema. Rows from earlier periods that didn't have that column receive empty cells. This means your report schema expands to accommodate new fields without any manual schema update.
- Is this suitable for monthly recurring reports?
- Yes. The workflow is repeatable: upload the current period's files, download the combined sheet, load into your reporting tool. As long as source column names are consistent, no reconfiguration is needed each period.
- Does the output retain the original row order from each source sheet?
- Yes — rows are output in source file and sheet order. For time-series reports that require chronological ordering, sort by your date column in the output or in your reporting tool after loading.
Create your free Deliteful account with Google and build your pre-report consolidated dataset from multiple Excel sources in seconds.