Data Monkey

Open a spreadsheet or a database table, point Data Monkey at it, and start shaping the rows into what your team actually needs. Pick a starter template for common tasks—cleanup, enrichment, reformatting—then map fields by dragging headers into place. Set data types, add validation rules, and preview results as you build. When the output looks right, save the flow, choose your destination (CSV, Excel, SQL, Parquet, cloud storage), and schedule it to run hourly, daily, or on file arrival.

When you need a unified view, connect multiple sources—CRM, finance systems, product feeds, and warehouse tables—and combine them without leaving the app. Standardize naming, normalize codes, and stitch records across systems using fuzzy matching and configurable tie-breakers. Build a trusted golden record by declaring survivorship rules, then route edge cases for review. Every change is tracked, so you can audit who adjusted a rule, when it ran, and which rows were affected.

Keep pipelines healthy with built‑in profiling and monitoring. Scan new loads to flag empty fields, outliers, inconsistent formats, or duplicates before they reach reports. Set thresholds that trigger alerts to email or Slack and automatically quarantine bad rows for correction. Fix issues in a guided review queue, reprocess only what changed, and compare outputs across runs to confirm improvements. View lineage to see exactly how a column was derived and which downstream assets depend on it. more