DataWarp

Marketing Data (Leads, Campaigns, Analytics)

Operational Data (Supply Chain, Logistics)

SQL Databases (e.g. PostgreSQL, MySQL, SQL Server)

APIs (e.g. Saleforce, Google Analytics, Stripe)

SaaS Platforms (CRM, Marketing Automation, ERP, etc.)

Data Warehouses (e.g. Snowflake, BigQuery, Redshift)

Medium (10,000 - 100,000 rows / 10 MB - 100MB)

Large (100,000 - 1 Million rows / 100 MB - 1 GB)

Very Large (Over 1 Million rows / > 1 GB)

Identifying and removing duplicate records

Correcting formatting inconsistencies (dates, numbers, text)

Standardizing categorical data (e.g. different spellings for the same city)

Dealing with outliers or invalid numerical entries

Trimming extra spaces or special characters

Merging/Combining data from different sources

The process takes too much manual effort / time

Ensuring data accuracy for reporting / analytics

Data privacy and compliance concerns during cleaning

Missing Value Imputation (Mean / Median / Mode / etc)

Text Manipulation (Find & Replace, Changing Case

Column Manipulation (Combine, Rename, Split, Drop)

Hypothesis Testing / Statistical Inference

Text Analytics / Natural Language Processing (NLP)

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