Best Practices for Cloud Master Data Management
Modern Architecture for Agility
To meet the demands of today’s fast-paced business environment, cloud-based MDM solutions must be built on modern architectures. This might include microservices, which allow organizations to continuously update and enhance their solutions without undergoing significant upgrades. A scalable architecture is essential for accommodating growing data sizes, diversity in data sources, and an increasing number of end users. By adopting a modern architecture, organizations can ensure that their MDM solutions remain agile and responsive to changing business needs.
Pretectum CMDM makes use of AWS serverless technologies in order to support near-limitless horizontal scaling. Built natively for AWS, the platform benefits from a modern componentry architecture that supports continuous development, integration, and deployment. We use a blockchain to ensure that we have tamper proof history of all that has happened to a given record. The multi-tenant nature of the platform means that all customers benefit from the same features and capabilities according to their license entitlements. This is a sharp contrast with many other solution offerings which are either single-tenant monolithic deployments or have constrained technology stacks that make up a great deal of legacy architectures and ultimately technical debt.
Cloud computing and master data management as a topic for discussion is reflective of the current trends and challenges organizations likely face today. As cloud adoption continues to grow, organizations must navigate the complexities of deciding if they want to move workloads and systems to the cloud, and which ones they wish to migrate.
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Organizations need to select the right cloud providers and technologies while ensuring that their master data management solutions are secure, comprehensive, and capable of evolving with their business needs.
Pretectum CMDM, like many organization, has a perspective related to these insights that demonstrates a completeness of the solution stack in relation to the demands of the market. We prioritize data security, adopt a phased implementation approach, and embrace hybrid cloud strategies. We leverage modern technologies including AI, ML, and LLMs, so organizations can enhance their customer data management processes and derive greater value from their customer data initiatives with the platform.
Ultimately, choosing the right cloud-based CMDM solution can empower organizations to achieve their business goals while ensuring that they remain competitive in an ever-changing landscape.
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