Welcome to the Statice blog,
your feed for everything synthetic data!

May 18, 2021
Use case

AI-driven data agility: a case for synthetic data in insurance

We present in this article why insurers need to make privacy a strategic decision to remain agile and how privacy-preserving data represents a renewed ability to process customer data safely and seamlessly.
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Use case
Case study: making medical data available for research
December 8, 2020

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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Synthetic data
Making the most out of time-series data with synthetic data
November 23, 2020

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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Use case
Preserving privacy with synthetic financial data
October 22, 2020

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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Synthetic data
What is the ROI of synthetic data?
October 9, 2020

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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Synthetic data
How do you generate statistically accurate synthetic data?
October 2, 2020

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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Data privacy
Which data protection methods do you need for privacy?
September 30, 2020

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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Interview
Data watermarking technology: interview with WaToo's CEO
September 25, 2020

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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Statice software
9 facts about Statice's data anonymization software
September 9, 2020

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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Use case
Case study: synthetic clinical data for healthcare research
August 28, 2020

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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