Showdown: AI-Native MDM vs. Rules-Based MDM
Not sure which solution is right for you? Let’s look at a head-to-head comparison of AI-native MDM versus traditional rules-based MDM to see how each approach stacks up.
AI-Native MDM
Rules-Based MDM
Speed & Costs
Delivers faster time to value and lowers project and ongoing operational costs
Time to business value
Achieved in weeks or months, not years (or never).
Takes months to years to reconcile and create trustworthy data.
Project costs
30% cheaper with AI-driven automation.
Higher project costs due to extensive manual intervention.
Operational costs
Lower infrastructure, licensing, and personnel costs.
Higher governance, policy, and process-driven operational costs.
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Accuracy
Clean, matched, trustworthy data delivered on your terms and ready for consumption
Deduplication and matching
Proven, patented referential matching delivers unmatched deduplication results.
Relies on manual rules and preparation, risking inconsistencies and data errors.
Automation and efficiency
AI-driven automation reduces data curation needs by 90%, boosting accuracy.
Manual processes are laborious and time-consuming, impeding efficiency and accuracy.
Trustworthy insights
Trustworthy golden records reduce report and dashboard creation time by 80% or more.
Extensive manual data manipulation means less timely insights.
Comprehensiveness
Aligns all data sources and unique data attributes plus 1-click 3rd party enrichment capabilities to take data to the next level
Data quality and completeness
Proven ML models ensure comprehensive and complete high-value data.
Requires manual development of data quality logic.
Verified match
Your data, refined with AI, and verified against a massive master database for accuracy.
No out-of-the-box third-party data verification.
Third-party enrichment
1-click, 3rd party enrichment further extends and enhances data.
Custom-built integrations required to enrich with 3rd-party data.
Durability
Real-time API integrations and AI-powered search ensure accuracy and completeness of golden records over time
AI-powered search
Keep your data clean with AI-powered ”search before create” capability for your most important source systems.
Traditional search capabilities struggle with the complexity of multi-system, multi-domain entity identification.
Onboarding of new data sources
Connect new data sources and use AI to reconcile your new data with your golden records in hours.
Requires manual updates, limiting adaptability to changing data.
Real-time APIs
Easily connect your team to the source systems that are used to add and change data over time.
Monolithic platforms require more complex efforts to keep master data accurate.
AI-native MDM overcomes the limits of rigid, rules-based MDM solutions by providing flexibility to adapt to the needs of modern, data-driven businesses. Decentralized governance, coupled with an intuitive interface and seamless integration, puts the management and control of data into the hands of the people who need it to drive business growth, even as data changes.
Get golden records fast
Learn more about the benefits of ditching legacy, rules-based MDM solutions in favor of AI-native MDM in our "Golden Records 2.0" ebook.