Author name: Roman Stepanenko

Managing data can be a messy and tedious task. Organizations are increasingly exploring machine learning (ML) technology to power their data quality improvement efforts. ML can help companies get more from their data by reducing manual work and enabling better decisions.

In this article, the importance of customer master data management for a successful business is discussed. The article provides ten best practices for managing customer data effectively. These include defining data needs, identifying data sources, assessing data quality, establishing data governance, implementing data quality programs, creating a single view of the customer, implementing data security

Learn about the benefits of automating master data management (MDM) using a software solution that is tailored to your organization’s needs. The article discusses two types of MDM automation – process automation and data management automation – and how they can be used together to create a fully automated MDM system.