Table Analytics Package

Provide a package to perform analytics on tables for purposes of identifying discrepancies and speeding reconciliation activities

Top Benefits

  • Speed reconciliation
  • Improve data quality
  • Reduce steps required in bot development
  • Adds computed columns to tables
  • Allows dynamic creation of records
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Actions

  • Provides differences across 2 tables
  • Provides validation of numerical data
  • Provides validation of string data based on regular expressions
  • Allows you to add a computed column to a table based on existing columns
  • Allows dynamic creation of record objects for insertion into Data Tables
Foundation for analyzing 2 tables and performing complex ops beyond JOIN Diff - compares two tables with keys provided for each and finds differences. Returns a table with column and value for non-matching data elements NumberValidator - validates numbers 3 ways - Range, Type (Positive, Negative, Whole, Decimal) or Comparison (, =, !=) StringValidator - sees if the string matches the RegEx pattern Validators use the exception handling pattern, so they must be wrapped in a try/catch block or the bot will terminate. Add a computed column based on existing columns by their index. For example [1]*20 says to take the value of the cell in the 2nd column and multiply it by 20. If [1] is not numeric or the formula cannot be read as a mathematical statement the resulting field will say "Improperly Formed Formula" For support: @jpmorgenthal on Twitter

Setup process

Install

Download the Package and follow the instructions to install it in your AAE Control Room.

Configure

Use the Package in a bot, configure keys and other credentials the Package will need (see the ReadMe for details.)

Run

That's it - now the Package is ready to get going!

Requirements and Inputs

  • Works on tables, numbers, and string
  • Automation 360 Data Tables require that records being inserted have matching column headers and matching number of columns

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