Upfront vs. Zero Upfront Data Modeling
Implement MDM in as little as five weeks and uncover the hidden relationships in your data
Low-code data integration
Finally, a Master Data Management platform that anyone can use. OpenAI integration lets any business user master data without technical expertise - just type a plain language prompt, hit enter and it's done.
Traditional upfront modeling is time badly spent.
Upfront data modeling has been a standard part of Master Data Management for decades. Not anymore.
Zero upfront, or dynamic, modeling removes the need to map and model data before it can be mastered, saving time and money, and revealing new growth opportunities.
Read our article comparing
traditional vs. zero upfront modeling.
A modern approach to managing your data
Fast and agile implementation
By deferring the creation of a detailed data model, zero upfront modeling allows organizations to implement MDM quickly. It also facilitates rapid prototyping, experimentation, and iterative development cycles, delivering faster time-to-value.
Evolve with the needs of the business
Zero upfront modeling encourages continuous iteration and improvement by allowing data models to evolve iteratively based on user feedback, data analysis, and changing business needs.
Integrate data with ease
Using a Graph database means that you no longer need a predefined schema. This flexibility enables accommodating evolving data requirements and simplifies integration with diverse data sources.
Ready to scale at your pace
Zero upfront modeling is often preferred by organizations operating in dynamic and rapidly changing environments. It is also the perfect complement to agile development practices and data exploration. In addition, while traditional upfront modeling can be held back by rigid data models, zero upfront modeling leverages scalable and distributed data platforms to accommodate growth.
Strengthening your data governance framework
By selecting a flexible and iterative approach to modeling your data, you can enhance your data governance program in a number of ways. Zero upfront modeling empowers data stewards and citizens alike by enabling continuous data quality improvement, facilitating data integration and harmonization, and fostering collaboration and transparency.
It also addresses data privacy and security concerns through granular access controls and ensuring full traceability and lineage.
Read our article comparing
traditional vs. zero upfront modeling.
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Inbuilt and high compression for low storage footprint
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Inbuilt and high compression for low storage footprint
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident sunt in culpa qui officia deserunt mollit anim id est laborum.
Inbuilt and high compression for low storage footprint
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident sunt in culpa qui officia deserunt mollit anim id est laborum.