Client cases

Synthetic data for analytics

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 are affected by a sub-optimal data foundation where data cannot simply be used and shared.

Challenge

A sub-optimal data foundation where data cannot simply be used and shared

Data access is critical

  • Data is critical to be smarter than the competition
  • Without (timely access to) data, data driven innovation and analytics is not possible
  • Endless valuable opportunities are wasted due to “locked” data

Getting access to data takes ages

  • Privacy regulations like the GDPR are strict and limit access to data
  • Overhead like internal processes, risk assessments, data access requests are time consuming

Anonymization does not work

  • They destroy your data making it no longer suitable (garbage in = garbage out)
  • A privacy risk will always be present
  • They are not scalable because they work different per dataset and per data type
Our solution: AI generated synthetic data

Mimic (sensitive) data with AI to generate synthetic data twins

Step 1

Generate synthetic data

We generate completely new and fake data. Personal data and 1-to-1 relations are simply not present anymore in the generated synthetic data. Hence, synthetic data is exempt from privacy regulations, such as the GDPR

Step 2

Learning process with AI

Key difference at Syntho: we apply AI to model the generated synthetic data in such a way that we preserve relationships, patterns and statistics on dataset (or database) level. This is what we call a synthetic data twin.

Step 3

Result: AI generated synthetic data twin

An AI generated synthetic data twin can be used as-if it is original data.

Synthetic data for advanced analytics

Unlock (sensitive) data 

  • Synthetic data is exempt from privacy regulations, such as the GDPR
  • Unlock personal data and have access to more data that was previously restricted (e.g. due to privacy)

As-good-as-real data

  • An AI generated synthetic data twin is statistically identical in comparison to the original data
  • Use AI generated synthetic data as-if it is original data

Easy, fast and scalable

  • Bypass internal processes, risk assessments, data access requests and similar time consuming overhead
  • Scalable solution that works the same for each dataset and for each datatype

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Value

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

  • Be smarter than (and even beat) the competition
  • Leverage new and more innovation opportunities
  • Unlock data, and thereby valuable insights
  • Mitigate overhead
syntho guide

Save your synthetic data guide now!

  • What is synthetic data?
  • How does it work?
  • Why do organizations use it?
  • Value adding synthetic data client cases
  • How to start
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