Blog

We publish industry insights on data privacy, anonymization, synthetic data and news about Statice.

Which industries have the strongest need for synthetic data?

How do you solve the joint issues amongst different relational tables? How do you kickstart a synthetic data project? Which industries have the strongest need for synthetic data? Read on to discover the answers to our latest webinar questions in this post!
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Posted on
December 11, 2020

Newsenselab able to make medical data available for research while guaranteeing patients’ anonymity

This post revisits the story of Newsenselab's project with synthetic data technology. Read how the team successfully anonymized more than 170 000 migraine symptom data points while maintaining a high utility for research.
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Posted on
December 8, 2020

How to make the most out of time-series data with synthetic data

This post sheds light on a data type gaining in popularity: time-series data. It offers a definition and presentation of this analytics resource. We explore the challenges of leveraging time-series data and how synthetic time-series data generation could help.
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Posted on
November 23, 2020

Preserving privacy with synthetic financial data

This post explores the challenges of leveraging data in the financial industry, as well as how to regain the ability to work with data safely and efficiently. Read how synthetic financial data can support your organization data operations while complying with existing data privacy constraints.
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Posted on
October 22, 2020

What is the ROI of synthetic data?

Are you evaluating privacy-preserving synthetic data and want to know what Return on Investment (ROI) you can expect? Check out this article in which we cover some elements to take into account when evaluating the value of adding synthetic data generation capabilities to your team’s toolbox.
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Posted on
October 9, 2020

How do you generate statistically accurate synthetic data?

We discussed the challenges and costs associated with data inertia during our recent webinar on synthetic data for finance. We took some of the interesting questions that we received from the audience and presented the answers in this article.
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Posted on
October 2, 2020

Which data protection methods do you need to guarantee privacy?

Privacy-enhancing techniques can help companies answer to ever-increasing privacy requirements of technical and societal nature. This article presents privacy protection methods such as pseudonymization, generalization, and generation of synthetic data. It also discusses the scope and importance of data privacy.
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Posted on
September 30, 2020

5 questions with WaToo’s CEO, Javier Franco-Contreras

We are continuing our series of interviews with data and privacy experts. We asked 5 questions to Javier Franco-Contreras. He's CEO and co-founder of WaToo and a specialist in data protection and watermarking technology.
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Posted on
September 25, 2020

9 facts about Statice's data anonymization software

Are you wondering if Statice has the right synthetic data solution for your needs? In this post, we discuss some of the advantages of working with our data anonymization software. From integration to evaluation, our data anonymization solution has everything to fit your team’s requirements.
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Posted on
September 9, 2020

Testing synthetical clinical data for innovation in healthcare with Roche

Learn about Statice’s participation in Startup Creasphere digital health program. We discuss the data challenges in the healthcare industry and our collaboration with Roche to test the use of synthetic medical data for clinical research.
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Posted on
August 28, 2020

10 use-cases for privacy-preserving synthetic data

In this post, we list 10 use-cases for privacy-preserving synthetic data. Learn how enterprises are leveraging synthetic data to generate value.
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Posted on
July 30, 2020

Privacy-preserving machine learning in insurance: La Mobilière success story

Read how a Swiss insurance company implemented privacy-preserving machine learning to future-proof its data operations. La Mobilière validated the use of synthetic data in the context of data privacy protection, adding a new tool in their digital transformation toolbox.
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Posted on
July 6, 2020

What is privacy-preserving synthetic data?

This blog presents the concept of privacy-preserving synthetic data. Learn about the definition of synthetic data, its origin in the context of data privacy, and its benefits for organizations.
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Posted on
July 2, 2020

How “anonymous” is anonymized data?

What constitutes data anonymization is often debated within the scientific community. Regulators frequently revise the definitions of anonymized data within legal frameworks such as GDPR. So it is safe to wonder, what exactly is anonymized data? And is anonymized data truly anonymous?
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Posted on
June 19, 2020

PETs: the technologies organizations should consider adopting

Discover the landscape of Privacy Enhancing Technologies (PETs) and some of their applications. Building upon the concept of Privacy by Design, these technologies hold many opportunities for organizations, such as compliance for instance.
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Posted on
June 11, 2020

4 Questions with M Science's Head of Data Acquisition, Sunaina Swaminathan

This is the first in a series of interviews we have planned with individuals who leverage data in their everyday work. We’re stoked to kick off the series with none other than Sunaina Swaminathan, Head of Data Acquisition at M Science! 
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Posted on
May 5, 2020

Learning the ropes of data businesses and privacy-preserving machine learning

Today’s blog post comes from Statice’s newest hire, Peter. Peter joined Statice with a diverse background in several B2C businesses, and wanted to share some of his insights on getting up to speed in the very specific niches of digital transformation, privacy-preserving data science and machine learning.
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Posted on
April 16, 2020

How Statice's synthetic data techniques differ from federated learning?

We recently hosted our first webinar on data privacy and digital transformation, and wanted to share the slides and some great audience questions on Statice vs federated learning, brute forcing anonymization methods, and maintaining outliers in synthetic data.
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Posted on
April 17, 2020

Webinar: how businesses can benefit from privacy-preserving synthetic data

We'll be hosting our first webinar on the 14th of April, discussing privacy and it's relevance in the age of data and digital transformation. Read on for more details on the topic and for sign up!
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Posted on
April 2, 2020

Fighting the good fight: Statice data anonymization software for Covid-19 research

If you need to unlock sensitive data for CV19 research, Statice is offering its software for data anonymization to support research and development of solutions to detect, understand, or help treat Covid-19.
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Posted on
March 26, 2020

"How Statice works" under 5 minutes

Statice offers a data anonymization software that enables companies to easily use sensitive data while meeting the legal requirements of modern data privacy regulations. The Statice software generates synthetic data that allows companies to perform meaningful data analysis without ever touching the original data.
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Posted on
March 5, 2020

Statice and Panter enable data-driven innovation in Switzerland

Statice and Panter are entering a partnership to enable privacy-preserving data innovation within the Swiss corporate ecosystem.
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Posted on
January 27, 2020

Statice wins global prize for disrupting life science industries

Statice won the audience prize in the 2019 President’s Startup Challenge for innovating and transforming the life science R&D. The Pistoia Alliance is a global non-profit community of life science stakeholders that works to lower barriers to R&D innovation.
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Posted on
October 28, 2019

The truth about anonymous data revealed

Many companies are still applying pseudonymization for data protection, thinking that they are protecting their customers’ data and perhaps even that they are being legally safe. Modern anonymization, contrary to pseudonymization, ensures that the data can never be retrieved by any means.
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Posted on
August 7, 2019

Starting Kickstart: Statice meets Switzerland

Statice is supporting the privacy efforts of Swiss corporates through the Kickstart program 2019. Follow us on Twitter @StaticePrivacy for more updates.
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Posted on
July 25, 2019

Privacy as priority — are corporates getting it?

More fines are likely to be issued as data protection offices are beginning to flex the powers bestowed upon them under the GDPR. These events should serve as a reminder to companies dealing with sensitive data that data security is non-trivial, and that management of data security risks should be a clear organizational priority.
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Posted on
July 11, 2019

Shaping Society: “Our Lives With Algorithms”

At Statice, we build software to safely anonymize sensitive personal information, which means that companies can protect individual privacy without giving up the potential for innovation and value creation around data. We believe that the ethical and moral responsibility to define concepts such as “good” and “bad” should always lie on humans and not the machines.
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Posted on
July 3, 2019

GDPR year 1: What we learned so far

Companies are now forced to introduce new methods of data processing. Any solutions must have privacy by design — and it’s not always easy to know where to start. Statice has prepared answers to some common misconceptions and questions your company might have about data privacy, data anonymization, synthetic data, and more.
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Posted on
June 27, 2019

No more headaches: Migraine research made possible

By creating synthetic data, Statice is enabling M-sense to freely share their data for research purposes — while fully preserving the privacy of the individuals involved. Statice and M-sense are together proving that hypersensitive data can be anonymized without any significant loss of quality or statistical significance.
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Posted on
June 18, 2019

Data doesn’t have to be evil

Statice started in the health sector. They helped several health apps to analyze their data and pass it on to research. “The companies have a better product and doctors can now evaluate thousands of patient data they wouldn’t otherwise have.” A win-win situation.
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Posted on
June 5, 2019

Level Up: Capnamic and WestTech join the Statice mission

We strongly believe that data driven collaboration both within and between organizations is a key driver of development, innovation and revenue. We’re already moving, with several key hires in the pipeline, and some very exciting projects coming shortly with leading healthcare, finance and automotive companies both from within Germany and internationally.
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Posted on
April 16, 2019

The GDPR and the future of data-driven innovation

We empower companies to open up their new synthetic data in a GDPR-compliant manner for product development, training new machine learning algorithms, and unlocking industry-wide insights — internally, or collaboratively with partners.
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Posted on
June 26, 2018

Introducing Statice [stat-is]

Statice provides a synthetic data generation software that allows you or your partners to handle data more freely and efficiently. You can easily share and collaborate over sensitive and private customer data without ever exposing it.
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Posted on
December 14, 2017

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