Automating Master Data Management | Profisee
For many organizations, ensuring data accuracy, consistency, and availability remains complex, filled with rote tasks and fraught with errors. Fully automating or augmenting as many of the data matching and repeatable workflow tasks as possible is an obvious choice, and a good master data management (MDM) platform will simplify the process considerably.
Automating Data Matching and Workflow Automation
For the purposes of this article, we’ll discuss the processes of automated data matching and workflow automation within the wider topic of automating MDM as a whole. When these two types of automation work together with the organization’s governance processes, the organization has greater access to consumable data to support its business goals.
While each organization will need to customize their automation project to some extent, the following six steps outline the broad strokes required for any project:
- Begin with the end in mind by defining the outcomes the data project will achieve.
- To standardize data formats, you’ll need to work backward.
- Build a data model that reflects the relationships and hierarchies of the real-world entities your data describes.
- Choose an MDM platform with essential features like automated matching and workflow automation.
- Establish connections with relevant source systems to begin integrating data.
- Implement workflow automation to streamline data management processes.
Benefits of Automating Master Data Management
Automation takes processes that machines can do faster (and better) out of human workflows, reserving people’s bandwidth for tasks involving creativity and critical thinking. The three biggest benefits of automating master data management include:
- Efficiency
- Accuracy
- Consistency
A relatively new feature of MDM software that’s quickly becoming a standard capability is augmented MDM. Augmented MDM introduces technologies like AI/ML, graph databases, and conversational virtual assistants to help improve decision making and efficiency while still keeping a human in the loop to review results.
Automated MDM aims to reduce human intervention through process automation, and augmented MDM complements this by helping business users make more informed decisions faster using different tools and insights.
Top Use Cases of Augmented Data Management
In addition to understanding whether a tool meets your organization’s budget and data volume needs, consider also the opportunity cost of forgoing automated MDM.
Whether you need to master product data from two systems or multiple different kinds of data from many systems, Profisee makes automating MDM easy. With a market-leading automated matching engine, intuitive workflow automation, and seamless integration with Microsoft Fabric, Profisee lets you configure and automate your MDM processes with minimal oversight and manual data stewards.
