Synthetic data client cases

Why use real (sensitive) data when you can use synthetic data? Our clients realize data driven innovation via various synthetic data use cases. Explore here the most valuable ones for you!

Realize data-driven innovation with synthetic data

Example synthetic data client cases

Explore synthetic data use cases with us

Synthetic data for model development

(e.g. dashboards [BI] and advanced analytics [AI & ML])

Having a strong data foundation with easy and fast access to usable, high quality data is essential to develop models (e.g. dashboards [BI] and advanced analytics [AI & ML]). However, many organizations suffer from a sub-optimal data foundation resulting in 3 key challenges:

  • Getting access to data takes ages due to (privacy) regulations, internal processes or data silos
  • Classic anonymization techniques destroy data, making it no longer suitable for analysis and advanced analytics (garbage in = garbage out)
  • Existing solutions are not scalable because they work different per dataset and per data type and cannot handle large multi-table databases

Our solution: develop models with as-good-as-real synthetic data with maximized data quality. The value:

  • Minimize the use of original data, without hindering your developers
  • Unlock personal data and have access to more data that was previously restricted (e.g. due to privacy)
  • Easy and fast data access to relevant data
  • Scalable solution that works the same for each dataset, datatype and for massive databases

This allows our clients to:

  • Be stronger than (and even beat) the competition
  • Leverage new and more innovation opportunities
  • Spend time on development instead of overhead and internal processes
  • Retaining and attracting talent that was previously deterred

Build your strong data foundation with easy and fast access to usable, high quality data now!

Testing and development with high quality test data is essential to deliver state-of-the-art software solutions.

Using original production data seems obvious, but is not allowed due to (privacy) regulations.

Alternatives introduce key challenges in getting your test data right:

  • Business logic and referential integrity is not preserved
  • They require manual work, are not scalable and cost time
  • They cannot optimize your data for testing purposes

Our solution: test and develop with AI generated synthetic test data to deliver state-of-the-art software solutions. The value:

  • High quality test data with preserved business logic and referential integrity
  • Easy and fast data generation with state-of-the art AI
  • Optimized test data for edge case testing
  • Generate new test data for new features, when your do not have data yet

This allows our clients to:

  • Improve overall test, development and delivery quality
  • Release faster and shorten the time-to-market
  • reduces bugs and potentially unhappy customers
  • Happy testers, developers and product owners

Test and develop with next-level test data to deliver state-of-the-art software solutions!

Seeing is believing: high quality demo data is essential to host an astonishing product demo for your prospects.

However, these are 3 key challenges in getting your demo data right:

  • You cannot use your clients data
  • Data creation by hand takes time
  • Data creation by hand results in errors

Our solution: AI generated synthetic demo data to astonish your prospect with next-level product demos. The value:

  • Errorless, high quality demo data with preserved business logic
  • Easy and fast data generation with state-of-the art AI
  • Optimized demo data to tailor your product demo

This allows our clients to:

  • Make more sales and close more deals
  • Remove barriers to sales
  • make a superior first impression
  • Make better marketing materials

Astonish your prospects with next-level product demos now!

Example synthetic data client cases

More synthetic data use cases as inspiration

Boost the realization of data-driven innovation now!