Retail — Compliance Model Registry for Retail Audits

Overview

The Compliance Model Registry DAG is designed to streamline the management of compliance models used in the retail industry. Its primary purpose is to ingest detailed information about various compliance models, including their versions and associated audit results. The data sources for this DAG include model documentation, audit reports, and version control logs. The ingestion pipeline begins with the extraction of this data, followed by a series of processing steps that include validation of m

The Compliance Model Registry DAG is designed to streamline the management of compliance models used in the retail industry. Its primary purpose is to ingest detailed information about various compliance models, including their versions and associated audit results. The data sources for this DAG include model documentation, audit reports, and version control logs. The ingestion pipeline begins with the extraction of this data, followed by a series of processing steps that include validation of model integrity, application of quality control measures, and updates to the central registry. Quality controls involve checks for data accuracy and completeness, ensuring that only validated models are included in the registry. The outputs of this DAG are accessible through a robust API, allowing compliance teams to retrieve relevant information quickly and efficiently. Monitoring key performance indicators (KPIs) such as model validation success rates and the timeliness of updates ensures that the compliance framework remains effective and responsive. The business value of this DAG lies in its ability to enhance compliance oversight, reduce the risk of non-compliance, and improve operational efficiency within retail organizations.

Part of the Enterprise Search solution for the Retail industry.

Use cases

• Improved compliance tracking reduces risk of penalties
• Enhanced operational transparency fosters trust with stakeholders
• Streamlined audit processes save time and resources
• Increased accuracy in compliance reporting enhances decision-making
• Proactive monitoring of models ensures timely updates and relevance