Data Preparation Tools for AI Analytics

An automotive catalog analyst utilized a data cleansing tool to transform a messy legacy CSV export riddled with missing value question marks and incorrect numeric formatting into a clean dashboard. The resulting visualization compares vehicle performance from 1970 to 1982, revealing that Japan leads in efficiency at 30.4 mpg across 79 models, while the USA lags at 20.1 mpg across 249 models. Text insights highlight a strong inverse relationship of -0.832 between weight and mpg, supported by a line chart tracking the steady climb in average fuel economy.

What it shows:

Cleaned datasets enable accurate regional comparisons and reveal critical performance trends over time.

A loan portfolio analyst generated a prioritized remediation plan to resolve data quality blockers stalling a reconciliation audit without manually cross-referencing errors in Excel. The top priority blocker is a logical mismatch where experience exceeds age minus eighteen, accounting for $7.5M in gross blocked exposure across 380 records. An exposure-weighted cleanup ranking horizontal bar chart illustrates this massive financial impact compared to smaller issues like missing education values tying up $897.6K and negative loan amounts affecting $24.1K.

What it shows:

Ranking data anomalies by financial exposure allows analysts to efficiently triage high-impact reporting blockers.