data-quality-and-reconciliation

Community

Ensure accurate data reconciliation across platforms

Authorscumunna
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses discrepancies in conversion and delivery numbers across various platforms, helping to maintain data integrity and facilitate informed decision-making.

Core Features & Use Cases

  • Data Reconciliation: Compares conversion and delivery numbers across platforms like DSPs, GA4, and Campaign Manager 360.
  • Discrepancy Banding: Establishes acceptable ranges for differences to identify anomalies or potential issues.
  • Pre-Ship Data Quality Check: Ensures reports are free of errors before they reach the client.
  • Anomaly Detection: Uses statistical methods to detect true anomalies that may indicate issues.
  • Use Case: When a user encounters inconsistencies in conversion data across different platforms, this Skill can be used to identify the cause and determine if it is a legitimate discrepancy or a tracking error.

Quick Start

Use the data-quality-and-reconciliation skill to reconcile conversion numbers between GA4 and DSP.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-quality-and-reconciliation
Download link: https://github.com/scumunna/programmatic-skills/archive/main.zip#data-quality-and-reconciliation

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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