
Bank Reconciliation: Worked Example With Practice Files
Learn bank reconciliation step by step with downloadable practice files. Match transactions, calculate adjusted balances, and investigate differences.

Learn bank reconciliation step by step with downloadable practice files. Match transactions, calculate adjusted balances, and investigate differences.

Check a business comparison from the source rows through averages, a t-test that compares two groups, and correlation and regression for two linked measures. Follow the synthetic example and reproduce the calculations.

Build a sales workbook (an Excel file) with three sheets, editable formulas and numbers you can check. Follow the example from source records to the downloaded file.

Compare two versions of a spreadsheet and see what changed — View Side by Side, conditional formatting, the Spreadsheet Compare add-in, and a keyed way to show added, removed, and changed rows even when the rows move.

Combine many same-structure CSV exports into one file — headers matched once, types kept, a source column, and a count that reconciles.

Stack several same-column Excel files into one table — with matched headers, a source-file column, and a row count that reconciles.

Compare two lists in Excel for matches and, more usefully, find the records missing from either side — the COUNTIF, VLOOKUP, and XLOOKUP methods, where they break, and a reviewable way to reconcile both lists.

The fast Excel way, and the harder one the button cannot do: dedupe by a key column, keep the most-complete row, and get an audited removed count.

A practical CSV upload recovery workflow for file size, encoding, delimiters, headers, malformed rows, validation, and safe re-upload.

A precise guide to the five advanced Excel workflows where Anomaly AI is faster than pivot tables, and where Excel still wins.

A workbook-safety workflow for analyzing .xls and .xlsx files with AI: sheets, headers, formulas, hidden data, sensitive fields, and source-backed outputs.

A practical no-Python workflow for analyzing a 1GB CSV when Excel freezes, truncates, or crashes, with file checks, source-backed calculations, and exportable outputs.

A safe people analytics prompt library for querying aggregate HR data: headcount, attrition, hiring, workforce costs, data quality, and executive caveats.

Run a focused 10-minute HR audit before a board meeting: headcount, attrition, hiring, workforce costs, privacy caveats, and safe wording.

Run a manufacturing tender margin leak analysis before pricing, bid/no-bid, or margin review meetings with a cost-driver matrix and safe wording.

A focused 15-minute workflow for auditing a large CSV before an executive meeting: schema, missing values, duplicates, top movers, and safe caveats.

A working CSV analysis guide for 2026 — inspect, clean, validate, and analyze CSV files with SQL, with the honest take on where AI helps and where it fails.

Discover the top data analysis tools in 2026. Compare Excel, Tableau, Power BI, Python, R, and AI-powered platforms. Expert analysis of features, pricing, and use cases to help you choose the right analytics tools for your organization.

Learn proven Excel analysis techniques from a data engineering expert. Master data analysis tool excel with formulas, pivot tables, and charts. Includes real-world examples, expert tips, and when to upgrade to AI data analyst tools for large datasets.

Master Excel's quick analysis tool to transform raw data into insights in seconds. Learn how the quick analysis tool in Excel speeds up routine data analysis with conditional formatting, charts, totals, tables, and sparklines—all with a single click.

Three approaches to visual database analysis in 2026: raw SQL + charting, traditional BI platforms, and AI agents that turn database questions into dashboards and visual analysis.
