The complete guide to selecting an MDM solution
Simplify the complexity of selecting an MDM solution with our expert-driven guide. Your journey to the choosing the right MDM tool for your data landscape starts here.
The path to a successful MDM implementation has its challenges, and selecting the right solution for a specific business can be daunting. There’s a diverse array of MDM solutions available on the market, and picking the wrong one can lead to many headaches.
This guide sheds some light on the most widely used MDM types: analytical and operational. We will outline their unique benefits and provide actionable insights to choose the best option for your requirements. We’ll also touch on other variables, such as choosing between an off-the-shelf or in-house solution and the available deployment options.
What you’ll learn
Al is built on
high-quality data
Ensuring critical data is ready to be provisioned into any advanced machine-learning model is part of any CDO’s or CIO’s mandate in 2024.
Relying on AI-empowered, data-driven decision-making by picking the right MDM solution will give businesses an advantage for years to come.
Streamline data for business intelligence
Analytical MDM solutions are engineered for helping with analytics and reporting use cases. These systems centralize, cleanse, and prepare data to meet the specifications of analytical applications, creating master records and IDs crucial for deep data analysis.
The backbone of day-to-day operations
Operational MDM solutions are are pivotal in establishing a single source of truth. They ensure data integrity across critical systems (CRMs, ERPs) by allowing users to manage consent, author records, and publish changes.
Tested reliability vs full control
Off-the-shelf MDM solutions are prebuilt, extensively tested, and ready for deployment, offering a quick route to data management. In contrast, in-house solutions are custom-built to fit unique business requirements offering higher customization.
Multiple options for any use case
The choice of deployment between cloud-native, on-premise, or hybrid model for your MDM solution plays a critical role in how effective the implementation is and how well it will integrate with other systems in your data (management) landscape.
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