AIMultiple Tabular Synthetic Data Benchmark Methodology in '24

AIMultiple aims to help buyers identify the right synthetic data solution for their business.

AIMultiple’s first synthetic data benchmark will aim to help global Forbes 2000 businesses prepare tabular test data. The benchmark will assess these aspects for their businesses:

• Fidelity of the synthetic data
• Privacy; effectiveness in removing personal information from synthetic data
• Computational requirements
• Total cost of ownership

What will be the guiding principles?

AIMultiple’s benchmark methodology is designed for an objective and transparent assessment. It also explains participation requirements.

What will be benchmarked?

Synthetic data generation technology. AIMultiple will upload its dataset and collect the synthetic data for the benchmark using the default parameters provided in the vendor’s API.

What is the benchmark dataset?

Our dataset needs to be representative of enterprise data. It will include tens of real-world datasets consisting of gigabytes of data.

What is required from the vendor solution?

Vendor solution is expected to replicate the provided datasets to prepare test data.

How will AIMultiple perform the benchmark?

AIMultiple’s synthetic data generation benchmark aims to closely match the preferences of buyers. AIMultiple will measure these metrics:

• Fidelity will be reduced to a single value by combining multiple metrics or by leveraging multiple metrics. Vendors will be consulted before finalizing the metric.
• Privacy will be treated in the same manner as fidelity.
• Computational requirements: Time to replicate the database will be tested with databases with gigabytes of records.
• Total cost of ownership: Vendors’ cost model or pricing will be shared to help buyers compare prices of different vendors. Vendors are not required to disclose their pricing to participate but disclosure can create more transparency for buyers.
• Customer service: Reviews on B2B review platforms will be analyzed to assess customer satisfaction.

How will the results be published?

They will be published on AIMultiple.com and will feature graphs that users can leverage to find the right vendor for their business. Different metrics will be separately presented to create transparency for buyers.

Each participant will receive their detailed database level results as well as the average results.

Please note that AIMultiple is in the design phase of the benchmark and changes will be made as AIMultiple gets end user feedback and finalizes the benchmark.

Reach out to AIMultiple team via info@aimultiple.com if you would like to participate in the AIMultiple synthetic data benchmark.