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Mansi Raghav
Solution Analyst, 4DAlert
7 articles
Why Your MDM Investment Fails Without End-to-End Automated Data Reconciliation
· AI-Powered MDM
A golden record in MDM only matters if it propagates to CRM, ERP and BI — without reconciliation, a costly implementation delivers only half its intended value
How Data Quality Fuels Effective Master Data Management
· AI-Powered MDM
Data quality is both a key enabler and a natural outcome of successful master data management, because MDM only delivers value when data is accurate, complete and consistent
Data Observability and Data Quality: Better Together
· Data Observability
Data observability complements data quality by continuously monitoring pipelines and workflows so problems surface before they disrupt operations
What is DataOps? Uniting Technology, Teams, and Workflows to Streamline the Data Journey
· CI/CD
DataOps manages data products the way software teams manage applications, designing, testing, deploying and governing them through automation to increase data trust
CI/CD for Databases: A Comprehensive Introduction
Database CI/CD applies continuous integration and delivery to schema changes, keeping every database version synchronized with source control and ready to release
Advancing Data Observability for Enhanced Insights and Reliability
· Data Observability
Choosing a complete data reconciliation and observability platform beats bespoke integration, because custom builds cannot keep pace with growing data feeds