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How to Join Data with ADA
Introduction ADA (Audit Data Assistant) provides a utility for joining two data files together using common key columns. Many times, the desired result is a dataset with the columns from both data…
How to Manage Columns with ADA
Introduction ADA (Audit Data Assistant) allows you to manage column settings after you’ve imported your data so you can change things like column names and data types. Using the Column Management Dialog…
ADA Overview
What is ADA? ADA stands for Audit Data Assistant. It is a Windows application developed by Audit Data Analytics, LLC. ADA features tools for analyzing audit data. Installation After downloading the ADA-Setup.msi…
How to Detect Duplicates with ADA
Introduction ADA (Audit Data Assistant) allows you to detect duplicates in your data. Formats Supported by Duplicates ADA’s Duplicates utility allows you to filter Parquet data. Parquet is the format ADA uses…
How to Summarize Data with ADA
Introduction ADA (Audit Data Assistant) lets you summarize your data with its Summarize utility. Using the Summarize Dialog Summarize gives you many options for summarizing your data, including options to calculate statistics…
How to Quick Export Data with ADA
Introduction After you’ve analyzed your audit data with ADA (Audit Data Assistant), you will likely want a fast and easy way to export that data to a commonly used format. If this…
How to Write Criteria with ADA
Introduction Multiple utilities in ADA (Audit Data Assistant) allow you to use criteria for your analysis. So what are criteria? Simply put, they are formulas and conditions you specify that select only…
How to Import Data with ADA
Introduction Using ADA (Audit Data Assistant) software begins with importing data. ADA makes this crucial step easy and comprehensive with its Import Wizard. Formats Supported by Import ADA’s Import Wizard allows you…
How to Append Data with ADA
Introduction ADA (Audit Data Assistant) includes an Append utility to append together data files into one file. Ideally, data files should contain similar data with the same fields, but Append will do…