8 Ways to Become a Data-Driven Business

Forget mockups, Synthetic Data enables you to unlock your most valuable resources for Big Data Innovation with on-point accuracy and respect to your customer’s privacy.


AI Training & Analytics

Advanced analytics, machine learning and artificial intelligence require broad data access, and new emerging tools & infra. Provide data at scale and with peace of mind in non-prod environments to your data scientists and AI engineers alike.

Open Big Data & Innovation

Data is the new oil. So, fuel your innovation by broadly sharing granular level data with researchers, startups and innovators alike, increasing the chances for disrupting breakthroughs.

Testing & Development

Accelerate the development, testing and integration of your next-generation, data-driven products and services by providing as-good-as-real data to your developers and testers.

Data Monetization

Share your data assets without putting privacy at risk, either directly or via data marketplaces. Synthetic data can be offered at its fullest detail, and thus delivers much higher value compared to existing anonymization techniques.

Customer Centricity

Restricting data access to a handful of engineers prohibits broader customer understanding. Establish a modern data-driven culture by openly sharing representative data at all levels to boost customer-centricity.

User Experience Design

Digital products only come to life with data. Thus, it is pivotal to provision highly realistic data, in all its diversity, to product owners and designers in order to deliver an intuitive, relevant user experience to your customers.


Vendor Validation

A range of SaaS providers offer compelling new solutions, but require data to be ingested for test-driving their services under realistic conditions. Provide synthetic in lieu of actual data to safely experience these new offerings in action.

Open APIs

Enable external developers to build upon your existing customer base by adding additional data-driven services. Developing these will require, aside from well designed APIs, also the provisioning of realistic data to prototype against.

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