Question 1 of 30
Global Dynamics, a multinational corporation, is undertaking a large-scale project to consolidate customer data from its various regional subsidiaries into a centralized CRM system. Each subsidiary operates with its own independent data entry protocols, validation rules, and storage formats, leading to significant discrepancies in data quality across the organization. The goal is to create a unified view of the customer to enhance targeted marketing and improve customer relationship management. Applying the principles outlined in ISO 8000-110:2021, which of the following actions would be the MOST effective initial step in addressing the data quality challenges inherent in this data consolidation project, prior to implementing any data cleansing or governance policies? The data includes customer names, addresses, purchase history, and contact information. The consolidated CRM system aims to provide a 360-degree view of each customer. The company wants to ensure that the data is accurate, complete, consistent, and timely.
Conduct a comprehensive data profiling exercise across all data sources to identify data quality issues and their root causes.
Establish a centralized data governance framework with clearly defined roles, responsibilities, and data quality policies.
Implement automated data cleansing routines to standardize data formats and remove duplicate records.
Define a set of data quality metrics and establish a data quality scorecard to monitor data quality over time.